Head of Enterprise Data Delivery Salary £80,000 (plus car allowance of £5,900) Location Hybrid - Milton Keynes or Boston Permanent, Full Time Data, transformation and governance - this role has it all! As Head of Enterprise Data Delivery at Amplius, you'll shape how data is built, managed and delivered across the organisation. You'll set clear direction and standards, making sure data is consistent, reliable and easy to use. By bringing structure to complex, fragmented data, you'll help improve reporting and support better, more confident decision-making. Salary: £80,000 (plus car allowance of £5,900) per year Contract: Permanent, full time Your week: 36.25 hours Monday - Friday 9am - 5.15pm Location: Hybrid with a weekly presence in our Milton Keynes or Boston office Snapshot of your role Take full end-to-end ownership of the enterprise data estate, including Data Platform, Data Products, and Data Governance, ensuring reliable delivery from source systems through to reporting and insight. Lead the modernisation of legacy data assets into a scalable cloud-based platform, defining the approach and ensuring successful migration, adoption, and long-term stability. Shape, structure, and maintain clear delivery plans with defined priorities, dependencies, ownership, and measurable outcomes that keep teams aligned and focused. Drive pace, momentum, and accountability across data teams, actively identifying risks, resolving blockers, and intervening where delivery is off track. Oversee the design and delivery of certified, reusable data products that support BI, KPI reporting, analytics, and operational decision-making. Embed modern data engineering practices including CI/CD, automated testing, monitoring, environment separation, and operational readiness across all delivery workstreams. Ensure governance is embedded into day-to-day delivery, including data definitions, ownership, lineage, quality standards, and access controls. Act as a senior technical partner to engineering, architecture, BI, and transformation teams, challenging design decisions and ensuring scalable, production-ready solutions. Provide clear visibility to senior stakeholders on progress, risks, dependencies, and delivery timelines across all data initiatives. What we're looking for Proven experience leading data platform, data engineering, or enterprise data delivery teams Strong background delivering cloud data platforms (e.g. Azure, Databricks, Snowflake or similar) Hands-on experience with data pipelines, transformation, and data modelling at scale Experience modernising legacy data estates into cloud-based platforms Strong technical credibility with the ability to engage engineers, architects, and technical teams Understanding of how data products, semantic layers, and reporting structures are designed and delivered Experience embedding data governance, quality, and MDM into delivery practices Ability to operate in complex, fast-paced, ambiguous environments with competing priorities Strong leadership skills with a focus on accountability, delivery, and outcomes Clear communicator able to translate technical detail into business impact Practical, delivery-focused mindset with a bias for action and problem-solving Please read the attached Job Description before applying so you get the full scope of the role. You can read about our colleague benefits here - Amplius colleague benefits This vacancy will close on 6 May. Following this, we will be in touch to arrange interviews. We reserve the right to close the vacancy early in response to an overwhelming number of applications or a change in business priorities. We do not provide visa sponsorship; you must be eligible to work in the UK. You must reside in the UK for the duration of your employment and provide Right to Work evidence. If you have any questions, please contact the Amplius Talent Team and we'll be happy to assist you. The Company Amplius is one of the largest housing providers across the Midlands, East and Southeast of England. We own and manage more than 37,000 homes and deliver a range of quality services, including care and support, specialist housing and home ownership options. We're a team of over 1,300 colleagues driven to have a positive impact on people's lives and provide affordable homes that make a difference.
Apr 25, 2026
Full time
Head of Enterprise Data Delivery Salary £80,000 (plus car allowance of £5,900) Location Hybrid - Milton Keynes or Boston Permanent, Full Time Data, transformation and governance - this role has it all! As Head of Enterprise Data Delivery at Amplius, you'll shape how data is built, managed and delivered across the organisation. You'll set clear direction and standards, making sure data is consistent, reliable and easy to use. By bringing structure to complex, fragmented data, you'll help improve reporting and support better, more confident decision-making. Salary: £80,000 (plus car allowance of £5,900) per year Contract: Permanent, full time Your week: 36.25 hours Monday - Friday 9am - 5.15pm Location: Hybrid with a weekly presence in our Milton Keynes or Boston office Snapshot of your role Take full end-to-end ownership of the enterprise data estate, including Data Platform, Data Products, and Data Governance, ensuring reliable delivery from source systems through to reporting and insight. Lead the modernisation of legacy data assets into a scalable cloud-based platform, defining the approach and ensuring successful migration, adoption, and long-term stability. Shape, structure, and maintain clear delivery plans with defined priorities, dependencies, ownership, and measurable outcomes that keep teams aligned and focused. Drive pace, momentum, and accountability across data teams, actively identifying risks, resolving blockers, and intervening where delivery is off track. Oversee the design and delivery of certified, reusable data products that support BI, KPI reporting, analytics, and operational decision-making. Embed modern data engineering practices including CI/CD, automated testing, monitoring, environment separation, and operational readiness across all delivery workstreams. Ensure governance is embedded into day-to-day delivery, including data definitions, ownership, lineage, quality standards, and access controls. Act as a senior technical partner to engineering, architecture, BI, and transformation teams, challenging design decisions and ensuring scalable, production-ready solutions. Provide clear visibility to senior stakeholders on progress, risks, dependencies, and delivery timelines across all data initiatives. What we're looking for Proven experience leading data platform, data engineering, or enterprise data delivery teams Strong background delivering cloud data platforms (e.g. Azure, Databricks, Snowflake or similar) Hands-on experience with data pipelines, transformation, and data modelling at scale Experience modernising legacy data estates into cloud-based platforms Strong technical credibility with the ability to engage engineers, architects, and technical teams Understanding of how data products, semantic layers, and reporting structures are designed and delivered Experience embedding data governance, quality, and MDM into delivery practices Ability to operate in complex, fast-paced, ambiguous environments with competing priorities Strong leadership skills with a focus on accountability, delivery, and outcomes Clear communicator able to translate technical detail into business impact Practical, delivery-focused mindset with a bias for action and problem-solving Please read the attached Job Description before applying so you get the full scope of the role. You can read about our colleague benefits here - Amplius colleague benefits This vacancy will close on 6 May. Following this, we will be in touch to arrange interviews. We reserve the right to close the vacancy early in response to an overwhelming number of applications or a change in business priorities. We do not provide visa sponsorship; you must be eligible to work in the UK. You must reside in the UK for the duration of your employment and provide Right to Work evidence. If you have any questions, please contact the Amplius Talent Team and we'll be happy to assist you. The Company Amplius is one of the largest housing providers across the Midlands, East and Southeast of England. We own and manage more than 37,000 homes and deliver a range of quality services, including care and support, specialist housing and home ownership options. We're a team of over 1,300 colleagues driven to have a positive impact on people's lives and provide affordable homes that make a difference.
Job Title : Senior Data Quality Analyst Target Start Date: Q2 2026 Contract Type: Permanent, Full Time Salary Range: £65,000 - £70,000 Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 7th May Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you'll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation. Main Responsibilities as Senior Data Quality Analyst: Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems Develop data profiling, reporting and monitoring solutions using SQL and Python Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers Champion the value of data quality through governance forums, stakeholder engagement and guidance materials Support delivery of the strategic data quality roadmap and key governance outcomes Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services Skills and experience you need as Senior Data Quality Analyst: Strong experience implementing data quality processes and governance frameworks within complex data environments Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation Experience working with modern cloud data platforms, particularly Databricks Experience profiling datasets and defining data quality rules, controls and monitoring approaches Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI Qualifications : DAMA CDMP (Certified Data Management Professional) or equivalent. Recognised Data Quality Specialist certification or training. Desirable: Experience in the insurance or financial services sector. Exposure to data migration or transformation programmes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit
Apr 24, 2026
Full time
Job Title : Senior Data Quality Analyst Target Start Date: Q2 2026 Contract Type: Permanent, Full Time Salary Range: £65,000 - £70,000 Location: Eastleigh, Hybrid (1x week) Closing Date for applications: 7th May Senior Data Quality Analyst: We are currently looking for a Senior Data Quality Analyst. You will work alongside Data Scientists, Engineers, Architects and Analysts to support the design, build and maintenance of cutting-edge data and AI services, ensuring strong data quality practices are embedded and monitored from the outset. Working closely with our governance leads and collaborating with risk, compliance and privacy teams, you'll help establish enterprise standards and drive trusted, high-quality data that powers analytics and AI innovation. Main Responsibilities as Senior Data Quality Analyst: Provide data quality advice and guidance across the business, promoting best practice and pragmatic solutions Design and implement data quality processes, controls and monitoring across our data platforms and enterprise systems Develop data profiling, reporting and monitoring solutions using SQL and Python Collaborate with data owners, stewards and the wider data community to improve trust and quality in critical datasets Curate and maintain key data artefacts such as data catalogues, dictionaries, lineage and asset registers Champion the value of data quality through governance forums, stakeholder engagement and guidance materials Support delivery of the strategic data quality roadmap and key governance outcomes Work with architects and AI teams to ensure high-quality, well-governed data supports scalable data products and GenAI services Skills and experience you need as Senior Data Quality Analyst: Strong experience implementing data quality processes and governance frameworks within complex data environments Hands-on coding capability in SQL, with experience using Python for data manipulation, profiling or automation Experience working with modern cloud data platforms, particularly Databricks Experience profiling datasets and defining data quality rules, controls and monitoring approaches Experience working with data governance frameworks and collaborating with data owners, stewards and governance teams Familiarity with data governance and data management tooling such as Unity Catalog, Collibra or similar Strong stakeholder engagement skills with the ability to influence across technical and non-technical teams Interest in AI and emerging technologies, and an understanding of how strong data management enables advanced analytics and GenAI Qualifications : DAMA CDMP (Certified Data Management Professional) or equivalent. Recognised Data Quality Specialist certification or training. Desirable: Experience in the insurance or financial services sector. Exposure to data migration or transformation programmes. At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruit
Senior Data Engineering Manager - London - £110k Please note - this is a London based role which will require you to work three days per week in the London office. To be eligible for this role you must be UK based with the unrestricted right to work in the UK - this organisation does not offer sponsorship. My client is a global organisation operating across multiple regions, with a strong focus on using digital technology and data to improve how the business operates. The role sits within a central Data & AI function that supports large, distributed teams and complex operational environments. It is an excellent opportunity for a senior technology leader to influence engineering delivery, improve capability, and drive consistency across platforms and teams. This is a hybrid London-based role, offering senior-level responsibility, visibility, and long-term impact. My client is seeking a Senior Engineering Manager to provide leadership across data and low-code engineering teams, as well as third-party delivery partners. You will be responsible for ensuring teams operate effectively, deliver predictably, and build solutions that are robust, supportable, and aligned with organisational standards. The role focuses on people leadership, delivery assurance, operational stability, and continuous improvement, while maintaining a strong connection to the underlying technology platforms. Core platforms in scope include Databricks, Microsoft Fabric, Power Apps, Power Automate, SharePoint, and Azure DevOps. Key responsibilities will include: Lead and manage globally distributed engineering teams across data platforms and low-code solutions Establish clear ways of working, consistent delivery practices, and strong engineering standards Ensure effective sprint planning, prioritisation, and predictable delivery across multiple squads Partner with technology, product, and change teams to align priorities and unblock delivery Build internal capability through coaching, feedback, and leadership development Oversee vendor engineering teams, ensuring quality, alignment to standards, and effective outcomes Ensure stable operations by supporting service transitions and leading Level 2/3 support practices Drive continuous improvement across tooling, processes, and delivery practices Required Experience: Extensive experience leading multi-disciplinary engineering teams in complex environments Proven ability to manage multi-vendor delivery models and mixed internal/external teams Strong experience establishing effective sprint rhythms and delivery governance Broad technical understanding across Databricks, Microsoft Fabric, Azure, Power Apps, Power Automate, SharePoint, and Azure DevOps Experience supporting service transitions and long-term operational ownership A track record of maturing engineering functions and scaling teams sustainably Strong communication and stakeholder management skills, including engagement at senior levels Relevant Azure or data-related certifications are desirable but not essential To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Apr 24, 2026
Full time
Senior Data Engineering Manager - London - £110k Please note - this is a London based role which will require you to work three days per week in the London office. To be eligible for this role you must be UK based with the unrestricted right to work in the UK - this organisation does not offer sponsorship. My client is a global organisation operating across multiple regions, with a strong focus on using digital technology and data to improve how the business operates. The role sits within a central Data & AI function that supports large, distributed teams and complex operational environments. It is an excellent opportunity for a senior technology leader to influence engineering delivery, improve capability, and drive consistency across platforms and teams. This is a hybrid London-based role, offering senior-level responsibility, visibility, and long-term impact. My client is seeking a Senior Engineering Manager to provide leadership across data and low-code engineering teams, as well as third-party delivery partners. You will be responsible for ensuring teams operate effectively, deliver predictably, and build solutions that are robust, supportable, and aligned with organisational standards. The role focuses on people leadership, delivery assurance, operational stability, and continuous improvement, while maintaining a strong connection to the underlying technology platforms. Core platforms in scope include Databricks, Microsoft Fabric, Power Apps, Power Automate, SharePoint, and Azure DevOps. Key responsibilities will include: Lead and manage globally distributed engineering teams across data platforms and low-code solutions Establish clear ways of working, consistent delivery practices, and strong engineering standards Ensure effective sprint planning, prioritisation, and predictable delivery across multiple squads Partner with technology, product, and change teams to align priorities and unblock delivery Build internal capability through coaching, feedback, and leadership development Oversee vendor engineering teams, ensuring quality, alignment to standards, and effective outcomes Ensure stable operations by supporting service transitions and leading Level 2/3 support practices Drive continuous improvement across tooling, processes, and delivery practices Required Experience: Extensive experience leading multi-disciplinary engineering teams in complex environments Proven ability to manage multi-vendor delivery models and mixed internal/external teams Strong experience establishing effective sprint rhythms and delivery governance Broad technical understanding across Databricks, Microsoft Fabric, Azure, Power Apps, Power Automate, SharePoint, and Azure DevOps Experience supporting service transitions and long-term operational ownership A track record of maturing engineering functions and scaling teams sustainably Strong communication and stakeholder management skills, including engagement at senior levels Relevant Azure or data-related certifications are desirable but not essential To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Role: Senior Data Engineer / Data Architect Salary: Up to £85,000, plus £5,000 annual bonus Technology - Azure Platform, DataBricks, PowerBI Location: Warrington Working Pattern: Hybrid - 2 days a week in the office. The Role: This is a great new role for either a Senior Data Engineer, wanting to make a step towards architecture, or, a hand's on data architect who is still very much a do'er. You will be the Data Engineer / Architect for the business so this is a design and execute role, you will need to be happy to roll sleeves up and do some technical work alongside ownership of the architecture piece. The system is large, the company is a global business and there systems are already in a good shape, this is not like some roles I have seen where "everything is in a mess and we need someone to fix" - everything her is in place for the successful person to deliver. In addition to the MS Technologies, they also have Salesforce and SAP in the business and a large amount of data is moved and out of those systems so experience in this area would definitely be an advantage. This role is high profile, we are looking for someone to work with SLT, board members and international stakeholders. You will need to be confident and comfortable engaging in conversations and high level decision making. Please note - this is not a remote position, it is hybrid in the office, 2 days a week but there is quite a lot of flexibility to that. Responsibilities: Own and evolve the enterprise data architecture - defining data models, integration patterns, and standards that scale with the business. Design secure, resilient data solutions across cloud and on-premises environments, ensuring they are fit for purpose today and adaptable for tomorrow. Act as the bridge between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating compliance risk. Provide architectural leadership and assurance across data programmes, guiding teams to make the right design decisions at every stage. Assess, recommend, and champion the right data technologies, tools, and platforms - balancing innovation with pragmatism. Lead and support data migration, modernisation, and transformation initiatives, bringing structure and clarity to complex change. Produce clear, consistent documentation of data architectures, models, and design decisions that serve as a lasting reference for the organisation. Identify opportunities to commercialise data insights through automation and process efficiency - turning data into measurable business value. Align data architecture with global systems requirements and regulatory evolution, ensuring enabling technology delivers maximum business impact. Requirements: Azure Environment Strong, well - rounded data engineering skillset. Apply Now! If you have a range of experience in Data Engineering and you are looking to progress with an organisation that has a fantastic approach to work in a thriving and ambitious environment, then look no further - this is the role for you! Please note: this role does not offer sponsorship. Referrals: If this role isn't right for you, do you know someone that might be interested? You could earn £500 of retail vouchers if you refer a successful candidate to Oscar. Email: to recommend someone for this role. Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment. Role: Senior Data Engineer / Data Architect Salary: Up to £85,000, plus £5,000 annual bonus Technology - Azure Platform, DataBricks, PowerBI Location: Warrington Working Pattern: Hybrid - 2 days a week in the office. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Apr 24, 2026
Full time
Role: Senior Data Engineer / Data Architect Salary: Up to £85,000, plus £5,000 annual bonus Technology - Azure Platform, DataBricks, PowerBI Location: Warrington Working Pattern: Hybrid - 2 days a week in the office. The Role: This is a great new role for either a Senior Data Engineer, wanting to make a step towards architecture, or, a hand's on data architect who is still very much a do'er. You will be the Data Engineer / Architect for the business so this is a design and execute role, you will need to be happy to roll sleeves up and do some technical work alongside ownership of the architecture piece. The system is large, the company is a global business and there systems are already in a good shape, this is not like some roles I have seen where "everything is in a mess and we need someone to fix" - everything her is in place for the successful person to deliver. In addition to the MS Technologies, they also have Salesforce and SAP in the business and a large amount of data is moved and out of those systems so experience in this area would definitely be an advantage. This role is high profile, we are looking for someone to work with SLT, board members and international stakeholders. You will need to be confident and comfortable engaging in conversations and high level decision making. Please note - this is not a remote position, it is hybrid in the office, 2 days a week but there is quite a lot of flexibility to that. Responsibilities: Own and evolve the enterprise data architecture - defining data models, integration patterns, and standards that scale with the business. Design secure, resilient data solutions across cloud and on-premises environments, ensuring they are fit for purpose today and adaptable for tomorrow. Act as the bridge between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating compliance risk. Provide architectural leadership and assurance across data programmes, guiding teams to make the right design decisions at every stage. Assess, recommend, and champion the right data technologies, tools, and platforms - balancing innovation with pragmatism. Lead and support data migration, modernisation, and transformation initiatives, bringing structure and clarity to complex change. Produce clear, consistent documentation of data architectures, models, and design decisions that serve as a lasting reference for the organisation. Identify opportunities to commercialise data insights through automation and process efficiency - turning data into measurable business value. Align data architecture with global systems requirements and regulatory evolution, ensuring enabling technology delivers maximum business impact. Requirements: Azure Environment Strong, well - rounded data engineering skillset. Apply Now! If you have a range of experience in Data Engineering and you are looking to progress with an organisation that has a fantastic approach to work in a thriving and ambitious environment, then look no further - this is the role for you! Please note: this role does not offer sponsorship. Referrals: If this role isn't right for you, do you know someone that might be interested? You could earn £500 of retail vouchers if you refer a successful candidate to Oscar. Email: to recommend someone for this role. Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment. Role: Senior Data Engineer / Data Architect Salary: Up to £85,000, plus £5,000 annual bonus Technology - Azure Platform, DataBricks, PowerBI Location: Warrington Working Pattern: Hybrid - 2 days a week in the office. Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Senior engineering manager - Hybrid role in Data & Digital Platforms - £110k A large, globally distributed organisation is looking for a Senior Engineering Manager to lead multiple data and digital engineering teams responsible for delivering critical platforms and products across the business. This is a senior leadership position, centred around delivery outcomes, operational excellence and people leadership, rather than hands-on development. You will define and uphold engineering standards, enable consistent and predictable delivery, develop and mature engineering capability, and lead both internal and vendor teams across a modern Microsoft and cloud technology environment. Key Responsibilities: Lead globally distributed engineering teams across data platforms and low-code tools. Create delivery rhythms, sprint discipline and engineering standards. Develop leads by coaching, feedback and capability uplift. Oversee vendor delivery, ensuring quality, value and alignment to standards. Support delivery across platforms including cloud data, workflow and collaboration tools. Skills & Experience: Extensive experience leading multi-disciplinary engineering teams. Proven delivery leadership across multiple squads in complex environments. Strong understanding of modern data and platform ecosystems. Ability to build, scale and mature high-performing engineering functions. IT Infrastructure: Cloud data platforms (e.g. Databricks, Azure) DevOps Agile delivery tooling What they offer: Competitive bonus Private medical cover and high-end wellbeing support Flexible working approach Significant scope to shape engineering platforms
Apr 24, 2026
Full time
Senior engineering manager - Hybrid role in Data & Digital Platforms - £110k A large, globally distributed organisation is looking for a Senior Engineering Manager to lead multiple data and digital engineering teams responsible for delivering critical platforms and products across the business. This is a senior leadership position, centred around delivery outcomes, operational excellence and people leadership, rather than hands-on development. You will define and uphold engineering standards, enable consistent and predictable delivery, develop and mature engineering capability, and lead both internal and vendor teams across a modern Microsoft and cloud technology environment. Key Responsibilities: Lead globally distributed engineering teams across data platforms and low-code tools. Create delivery rhythms, sprint discipline and engineering standards. Develop leads by coaching, feedback and capability uplift. Oversee vendor delivery, ensuring quality, value and alignment to standards. Support delivery across platforms including cloud data, workflow and collaboration tools. Skills & Experience: Extensive experience leading multi-disciplinary engineering teams. Proven delivery leadership across multiple squads in complex environments. Strong understanding of modern data and platform ecosystems. Ability to build, scale and mature high-performing engineering functions. IT Infrastructure: Cloud data platforms (e.g. Databricks, Azure) DevOps Agile delivery tooling What they offer: Competitive bonus Private medical cover and high-end wellbeing support Flexible working approach Significant scope to shape engineering platforms
Job Description Role: Power BI Developer Employment: Permanent Location: Hybrid (Birmingham) - combination of office, client site and home workingWe are TXP. We help businesses and organisations move forward, at pace and at scale. We believe in the transformative power of combining technology and people. By providing consulting expertise, development services and resourcing, we work closely with organisations to solve their most complex business problems. Role Overview TXP's Data & AI Practice is growing, and we're looking for a Power BI Developer to join us on a permanent basis. You'll work across a diverse portfolio of client engagements, delivering high-quality Power BI reporting solutions built on Microsoft Fabric, Direct Lake semantic models, and modern data architectures.This role is ideal for someone who is passionate about analytics delivery, enjoys working directly with stakeholders, and wants to play a part in shaping standards, reusable assets, and best practices within a specialist consultancy environment. Responsibilities Design, build, test and deploy Power BI dashboards and reports aligned to clearly defined acceptance criteria Engage directly with client stakeholders across commercial, finance and operational teams to gather requirements and define KPIs Translate business needs into production-grade analytics solutions using Microsoft Fabric and Power BI Manage Power BI environments including workspaces, publishing, Apps, and Row Level Security Apply best practice in visual design, performance optimisation, and semantic data modelling Support light data engineering where required, including Fabric Pipelines and Gen2 Dataflows Integrate data from a range of sources including SQL Server, Oracle, ERP/CRM systems, Excel and CSV Produce training materials, run demos and support end users who are new to Power BI Contribute to internal Power BI standards, reusable assets, and data catalogues Stay current with the Microsoft Fabric roadmap and proactively apply new features where they add value Skills and Experience Essential Strong hands-on experience with Power BI (report design, data modelling, DAX) Solid SQL skills with the ability to understand and reverse-engineer complex views Experience running requirements and KPI definition sessions with non-technical stakeholders A methodical, detail-oriented approach with strong unit testing discipline Desirable Experience with Microsoft Fabric, particularly Direct Lake semantic models Star schema and semantic data modelling expertise Advanced DAX development and optimisation Experience with Fabric Pipelines, Gen2 Dataflows, and enterprise data ingestion Power BI administration, deployment pipelines, and version control Multi-layout reporting (desktop, mobile, tabular) What We Offer A permanent role within a specialist practice, not a large system integrator. Exposure to varied client environments across financial services, insurance, healthcare, and retail. A clear Microsoft Fabric and Databricks technology track with access to training and certification support. A collaborative, senior-led team environment with direct access to practice leadership. Competitive salary, flexible hybrid working, and a role that grows with the practice. Benefits: 25 days annual leave (plus bank holidays). An additional day of paid leave for your birthday (or Christmas eve). 4% Matched employer contributed pension (salary sacrifice). Life assurance (3x). Access to an Employee Assistance Programme. Private medical insurance through our partner Aviva. Cycle to work scheme. Corporate eye-care vouchers. Access to an independent financial advisor. 2 x social value days per year to give back to local communities. Grow with us: Work on exciting new projects; If you want to avoid getting stuck with the mundane, you're in the right place. We work in many sectors with fantastic clients, so you'll always be working on something exciting and challenging. Career growth - we've got you! We recognise that you might have a career path planned out and you might need some support to help you move forward. We're here to support you and make the most out of your time with us, through challenging work, opportunities to grow and learning and development opportunities. Be part of the TXP growth journey ; We are a high growth, fast paced environment. We currently have 200+ employees and work with clients across the UK. Joining TXP means you'll be part of that.
Apr 23, 2026
Full time
Job Description Role: Power BI Developer Employment: Permanent Location: Hybrid (Birmingham) - combination of office, client site and home workingWe are TXP. We help businesses and organisations move forward, at pace and at scale. We believe in the transformative power of combining technology and people. By providing consulting expertise, development services and resourcing, we work closely with organisations to solve their most complex business problems. Role Overview TXP's Data & AI Practice is growing, and we're looking for a Power BI Developer to join us on a permanent basis. You'll work across a diverse portfolio of client engagements, delivering high-quality Power BI reporting solutions built on Microsoft Fabric, Direct Lake semantic models, and modern data architectures.This role is ideal for someone who is passionate about analytics delivery, enjoys working directly with stakeholders, and wants to play a part in shaping standards, reusable assets, and best practices within a specialist consultancy environment. Responsibilities Design, build, test and deploy Power BI dashboards and reports aligned to clearly defined acceptance criteria Engage directly with client stakeholders across commercial, finance and operational teams to gather requirements and define KPIs Translate business needs into production-grade analytics solutions using Microsoft Fabric and Power BI Manage Power BI environments including workspaces, publishing, Apps, and Row Level Security Apply best practice in visual design, performance optimisation, and semantic data modelling Support light data engineering where required, including Fabric Pipelines and Gen2 Dataflows Integrate data from a range of sources including SQL Server, Oracle, ERP/CRM systems, Excel and CSV Produce training materials, run demos and support end users who are new to Power BI Contribute to internal Power BI standards, reusable assets, and data catalogues Stay current with the Microsoft Fabric roadmap and proactively apply new features where they add value Skills and Experience Essential Strong hands-on experience with Power BI (report design, data modelling, DAX) Solid SQL skills with the ability to understand and reverse-engineer complex views Experience running requirements and KPI definition sessions with non-technical stakeholders A methodical, detail-oriented approach with strong unit testing discipline Desirable Experience with Microsoft Fabric, particularly Direct Lake semantic models Star schema and semantic data modelling expertise Advanced DAX development and optimisation Experience with Fabric Pipelines, Gen2 Dataflows, and enterprise data ingestion Power BI administration, deployment pipelines, and version control Multi-layout reporting (desktop, mobile, tabular) What We Offer A permanent role within a specialist practice, not a large system integrator. Exposure to varied client environments across financial services, insurance, healthcare, and retail. A clear Microsoft Fabric and Databricks technology track with access to training and certification support. A collaborative, senior-led team environment with direct access to practice leadership. Competitive salary, flexible hybrid working, and a role that grows with the practice. Benefits: 25 days annual leave (plus bank holidays). An additional day of paid leave for your birthday (or Christmas eve). 4% Matched employer contributed pension (salary sacrifice). Life assurance (3x). Access to an Employee Assistance Programme. Private medical insurance through our partner Aviva. Cycle to work scheme. Corporate eye-care vouchers. Access to an independent financial advisor. 2 x social value days per year to give back to local communities. Grow with us: Work on exciting new projects; If you want to avoid getting stuck with the mundane, you're in the right place. We work in many sectors with fantastic clients, so you'll always be working on something exciting and challenging. Career growth - we've got you! We recognise that you might have a career path planned out and you might need some support to help you move forward. We're here to support you and make the most out of your time with us, through challenging work, opportunities to grow and learning and development opportunities. Be part of the TXP growth journey ; We are a high growth, fast paced environment. We currently have 200+ employees and work with clients across the UK. Joining TXP means you'll be part of that.
Senior Data Engineer - Insurance & London Market - Up to £95k Location: London (Hybrid) Type: Permanent Overview A London Market insurance organisation is seeking a Senior Data Engineer to design, build, and lead modern data engineering solutions across underwriting, pricing, claims, and reinsurance domains. This is a hands-on senior role combining deep insurance domain knowledge with cloud-native data engineering, delivered within complex and regulated environments. Key Responsibilities Design and build scalable cloud-based data platforms using Medallion Architecture (Bronze / Silver / Gold) Engineer pipelines using Python and PySpark on platforms such as Databricks Ingest and integrate data from multiple sources including policy, claims, broker, and third-party systems Contribute to CI/CD pipelines and modern DevOps delivery approaches Collaborate closely with data architects, modellers, analysts and business stakeholders Required Experience Strong experience as a Senior Data Engineer within Insurance, ideally the London Market Proven hands-on expertise in: Python & PySpark Databricks Cloud platforms (Azure, AWS, or GCP) Solid understanding of Medallion Architecture and analytics-focused data modelling Strong domain knowledge across: Lloyd's Syndicates Delegated Authority Reinsurance and Ceded Reinsurance Underwriting, pricing, and claims Confident communicator, comfortable working with senior technical and business stakeholders Why Apply? Senior, hands-on role working on complex London Market data challenges Opportunity to shape and scale modern cloud data platforms Long-term transformation programmes with strong stakeholder visibility
Apr 23, 2026
Full time
Senior Data Engineer - Insurance & London Market - Up to £95k Location: London (Hybrid) Type: Permanent Overview A London Market insurance organisation is seeking a Senior Data Engineer to design, build, and lead modern data engineering solutions across underwriting, pricing, claims, and reinsurance domains. This is a hands-on senior role combining deep insurance domain knowledge with cloud-native data engineering, delivered within complex and regulated environments. Key Responsibilities Design and build scalable cloud-based data platforms using Medallion Architecture (Bronze / Silver / Gold) Engineer pipelines using Python and PySpark on platforms such as Databricks Ingest and integrate data from multiple sources including policy, claims, broker, and third-party systems Contribute to CI/CD pipelines and modern DevOps delivery approaches Collaborate closely with data architects, modellers, analysts and business stakeholders Required Experience Strong experience as a Senior Data Engineer within Insurance, ideally the London Market Proven hands-on expertise in: Python & PySpark Databricks Cloud platforms (Azure, AWS, or GCP) Solid understanding of Medallion Architecture and analytics-focused data modelling Strong domain knowledge across: Lloyd's Syndicates Delegated Authority Reinsurance and Ceded Reinsurance Underwriting, pricing, and claims Confident communicator, comfortable working with senior technical and business stakeholders Why Apply? Senior, hands-on role working on complex London Market data challenges Opportunity to shape and scale modern cloud data platforms Long-term transformation programmes with strong stakeholder visibility
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
Apr 23, 2026
Full time
Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -
Gleeson Recruitment Group
Leicester, Leicestershire
Data Engineer (SQL / Python) Onsite 3 times per week (Leicester or Nottingham office) £35K - £40K DOE Our client is looking to appoint a Data Engineer to join their expanding data team. This is an excellent opportunity for someone with solid foundational experience who is eager to develop their skills and grow within a modern, cloud-based data environment. Working alongside senior engineers and analysts, the successful candidate will contribute to the design and development of scalable data solutions while gaining exposure to cutting-edge technologies. The role will involve: Supporting the development and maintenance of cloud-based data pipelines Assisting in the design and optimisation of data models and architectures Working with analytics teams to ensure high-quality, reliable data outputs Contributing to best practices in data governance and engineering standards The successful candidate will ideally have: Experience with at least one cloud platform (Azure, AWS, or Snowflake) Exposure to Databricks or similar modern data processing tools Working knowledge of SQL and some experience with Python An understanding of data warehousing concepts A strong desire to learn, develop, and progress within a data engineering career Importantly, given the level of this role, our client is open to candidates who may not tick every box. They are keen to speak with individuals who demonstrate strong potential, a solid grasp of core concepts, and a genuine enthusiasm to build their technical capability within a supportive team environment. This role offers genuine progression, hands-on learning from experienced engineers, and the chance to be part of a collaborative and forward-thinking data team. Please apply asap if interested - GleeIT - Data Engineer At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
Apr 22, 2026
Full time
Data Engineer (SQL / Python) Onsite 3 times per week (Leicester or Nottingham office) £35K - £40K DOE Our client is looking to appoint a Data Engineer to join their expanding data team. This is an excellent opportunity for someone with solid foundational experience who is eager to develop their skills and grow within a modern, cloud-based data environment. Working alongside senior engineers and analysts, the successful candidate will contribute to the design and development of scalable data solutions while gaining exposure to cutting-edge technologies. The role will involve: Supporting the development and maintenance of cloud-based data pipelines Assisting in the design and optimisation of data models and architectures Working with analytics teams to ensure high-quality, reliable data outputs Contributing to best practices in data governance and engineering standards The successful candidate will ideally have: Experience with at least one cloud platform (Azure, AWS, or Snowflake) Exposure to Databricks or similar modern data processing tools Working knowledge of SQL and some experience with Python An understanding of data warehousing concepts A strong desire to learn, develop, and progress within a data engineering career Importantly, given the level of this role, our client is open to candidates who may not tick every box. They are keen to speak with individuals who demonstrate strong potential, a solid grasp of core concepts, and a genuine enthusiasm to build their technical capability within a supportive team environment. This role offers genuine progression, hands-on learning from experienced engineers, and the chance to be part of a collaborative and forward-thinking data team. Please apply asap if interested - GleeIT - Data Engineer At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
SLSQ327R188 Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully managed Postgres offering for intelligent applications. This high impact role sits within the Lakebase Go To Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest growing data and AI companies in the world, this is your opportunity. Impact you will have Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas - including platform teams and developers, data teams, and central IT - articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real time, AI driven experiences. Run complex, multi threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line of business stakeholders. Orchestrate proof of value and POCs that validate Lakebase's benefits for OLTP style workloads, reverse ETL, and AI/ML driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud native operational databases by leveraging our compete assets, benchmarks, and customer references. Align to measurable business outcomes such as performance, developer productivity, time to market for new features, cost reduction, and simplification of the operational data landscape. Partner cross functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co selling motions with key ISVs and GSIs. Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation. What we look for Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi stakeholder deals. Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. Strong understanding of modern data and application architectures, including cloud native services, microservices, event driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line of business owners). Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. Executive presence with the ability to whiteboard architectures, lead C level conversations, and build trust with senior decision makers. Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. Bachelor's degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Apr 22, 2026
Full time
SLSQ327R188 Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully managed Postgres offering for intelligent applications. This high impact role sits within the Lakebase Go To Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest growing data and AI companies in the world, this is your opportunity. Impact you will have Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas - including platform teams and developers, data teams, and central IT - articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real time, AI driven experiences. Run complex, multi threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line of business stakeholders. Orchestrate proof of value and POCs that validate Lakebase's benefits for OLTP style workloads, reverse ETL, and AI/ML driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud native operational databases by leveraging our compete assets, benchmarks, and customer references. Align to measurable business outcomes such as performance, developer productivity, time to market for new features, cost reduction, and simplification of the operational data landscape. Partner cross functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co selling motions with key ISVs and GSIs. Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation. What we look for Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi stakeholder deals. Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. Strong understanding of modern data and application architectures, including cloud native services, microservices, event driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line of business owners). Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. Executive presence with the ability to whiteboard architectures, lead C level conversations, and build trust with senior decision makers. Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. Bachelor's degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
A distinguished financial institution in London is seeking an accomplished Technical Business Analyst to assume a central role in the analysis and implementation of a sophisticated data platform dedicated to Risk and ESG. This position affords you the opportunity to engage with cross-functional teams to deliver solutions that address intricate regulatory and sustainability imperatives. To excel as a Technical Business Analyst within this esteemed organisation's London office you will bring substantial proven experience from banking or financial services sectors-ideally spanning over ten years. Your deep familiarity with business/systems analysis ensures you can navigate complex environments where regulatory compliance is paramount. You possess advanced skills in analysing large datasets; designing databases; developing schemas; optimising performance-all while maintaining rigorous standards around security and scalability. Your ability to specify interfaces; map intricate flows; integrate disparate systems demonstrates your technical acumen. Knowledge of regulatory frameworks-especially those governing ESG-is highly desirable given the project's focus on sustainability reporting. Proficiency in industry-standard tools like JIRA/Confluence/Visio/SQL enables efficient documentation/workflow management while exposure to analytics platforms (Azure/Data Factory/Databricks) positions you well for future-facing initiatives. What you bring: Experience in business or systems analysis within banking or financial services environments is requisite for this position. A demonstrable track record in data analysis, modelling, database design including schema development and optimisation is required. You will have extensive experience in Python & SQL. A thorough understanding of both technical requirements (performance, security) as well as non-functional requirements (scalability) is necessary. Experience with interface specification and integration design including data mapping and flow design is highly valued. Demonstrated experience collaborating closely with product owners, data engineers, QA professionals for successful project delivery is expected. Experience with regulatory compliance frameworks such as ESG reporting requirements is advantageous. Exposure to contemporary analytics platforms (Azure Data Factory/Databricks), external emissions/environmental data providers adds further value. If this role is of interest, please apply below. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Apr 21, 2026
Contractor
A distinguished financial institution in London is seeking an accomplished Technical Business Analyst to assume a central role in the analysis and implementation of a sophisticated data platform dedicated to Risk and ESG. This position affords you the opportunity to engage with cross-functional teams to deliver solutions that address intricate regulatory and sustainability imperatives. To excel as a Technical Business Analyst within this esteemed organisation's London office you will bring substantial proven experience from banking or financial services sectors-ideally spanning over ten years. Your deep familiarity with business/systems analysis ensures you can navigate complex environments where regulatory compliance is paramount. You possess advanced skills in analysing large datasets; designing databases; developing schemas; optimising performance-all while maintaining rigorous standards around security and scalability. Your ability to specify interfaces; map intricate flows; integrate disparate systems demonstrates your technical acumen. Knowledge of regulatory frameworks-especially those governing ESG-is highly desirable given the project's focus on sustainability reporting. Proficiency in industry-standard tools like JIRA/Confluence/Visio/SQL enables efficient documentation/workflow management while exposure to analytics platforms (Azure/Data Factory/Databricks) positions you well for future-facing initiatives. What you bring: Experience in business or systems analysis within banking or financial services environments is requisite for this position. A demonstrable track record in data analysis, modelling, database design including schema development and optimisation is required. You will have extensive experience in Python & SQL. A thorough understanding of both technical requirements (performance, security) as well as non-functional requirements (scalability) is necessary. Experience with interface specification and integration design including data mapping and flow design is highly valued. Demonstrated experience collaborating closely with product owners, data engineers, QA professionals for successful project delivery is expected. Experience with regulatory compliance frameworks such as ESG reporting requirements is advantageous. Exposure to contemporary analytics platforms (Azure Data Factory/Databricks), external emissions/environmental data providers adds further value. If this role is of interest, please apply below. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
We are partnering with a leading business in the West Midlands to recruit a Senior Data Engineer for a newly created permanent position. The role offers a salary of up to £75,000 plus a bonus of up to 15%. This is a hybrid role, requiring attendance in the office on average twice per month, with flexibility to come in as needed. The Role We are for Senior Data Engineers with strong Databricks experience to join a newly established data function wihin a global organisation. You will play a key role in the implementation of Databricks alongside a strategic partner, acting as the subject matter expert across the business. Key Responsibilities: Deliver, build and optimise end-to-end data pipelines Act as Databricks SME partnering with stakeholders to gather requirements and drive continuous improvement Develop solutions using PySpark, Spark SQL and Python Implement and maintain CI/CD practices Enhance and optimise existing data pipelines About You Proven experience in Databricks, Delta Lake, PySpark and Spark SQL Excellent communication skills - ability to partner with the business and key stakeholders to champion best practice in data engineering Strong Python and SQL skills Knowledge of CI/CD practices On Offer Salary - up to £75,000 Bonus - up to 15% 27 days annual leave (plus BH) Hybrid working - on average twice a month Opportunity to work with a high-performing Data & Analytics team Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Apr 21, 2026
Full time
We are partnering with a leading business in the West Midlands to recruit a Senior Data Engineer for a newly created permanent position. The role offers a salary of up to £75,000 plus a bonus of up to 15%. This is a hybrid role, requiring attendance in the office on average twice per month, with flexibility to come in as needed. The Role We are for Senior Data Engineers with strong Databricks experience to join a newly established data function wihin a global organisation. You will play a key role in the implementation of Databricks alongside a strategic partner, acting as the subject matter expert across the business. Key Responsibilities: Deliver, build and optimise end-to-end data pipelines Act as Databricks SME partnering with stakeholders to gather requirements and drive continuous improvement Develop solutions using PySpark, Spark SQL and Python Implement and maintain CI/CD practices Enhance and optimise existing data pipelines About You Proven experience in Databricks, Delta Lake, PySpark and Spark SQL Excellent communication skills - ability to partner with the business and key stakeholders to champion best practice in data engineering Strong Python and SQL skills Knowledge of CI/CD practices On Offer Salary - up to £75,000 Bonus - up to 15% 27 days annual leave (plus BH) Hybrid working - on average twice a month Opportunity to work with a high-performing Data & Analytics team Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
At Victrex, we are committed to harnessing the power of data to drive smarter decisions, improve operational performance, and support innovation across the organisation. We're now looking for a Senior Data Engineer to join our growing data and digital capability. About the Role As a Senior Data Engineer, you'll play a key role in designing, building and maintaining scalable, high performance data infrastructure and pipelines. You'll ensure our data systems are reliable, secure and optimised to support analytics, business intelligence and AI driven initiatives. Working closely with Data Engineers, Power BI Developers, Process Engineers, Business Analysts and subject matter experts, you'll embed best practice in data engineering and data management across Victrex. This role offers the flexibility of working predominantly from home, with occasional on site meetings or activities at Hillhouse. What You'll Be Doing Designing, implementing and maintaining scalable data pipelines using Microsoft technologies including Azure Data Factory, Azure Synapse, Azure Databricks and Fabric. Defining and enforcing best practices in data architecture, governance and security. Developing and optimising ETL/ELT processes in support of analytics and AI initiatives. Collaborating with data scientists and process engineers to integrate ML and LLM models into production environments. Managing performance, scalability and cost efficiency of our data warehouse and lakehouse solutions. Evaluating and implementing emerging AI/ML technologies to enhance data processing capability. Translating business needs into technical solutions through close stakeholder engagement. Ensuring compliance with internal governance and external regulatory requirements. Working with external suppliers and partners to support our data architecture roadmap. What We're Looking For Demonstrable experience in designing and optimising data pipelines for structured and unstructured data. Strong experience with DevOps and CI/CD methodologies. Proficiency in SQL and NoSQL database design and data modelling. Hands on experience with cloud platforms (Azure, AWS or GCP) and big data technologies such as Spark, Hadoop or Kafka. Strong programming skills in Python, Java or Scala. Deep understanding of ETL/ELT tools such as Apache Airflow, dbt or Informatica. Experience implementing data governance, data security and compliance frameworks. Excellent communication skills with an ability to translate technical concepts for non technical audiences. Proven ability to collaborate across functions and build strong stakeholder relationships. Good understanding of broader business processes and organisational goals. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering or a related field (desirable). Relevant professional experience in data engineering (essential). NO RECRUITMENT AGENCIES PLEASE. At present, we are not accepting any candidates via a recruitment agency or third party. About Victrex Victrex is a global leader in high performance polymers, serving sectors such as automotive, aerospace, energy, industrial, electronics and medical. We focus on developing advanced PEEK and PAEK solutions that deliver environmental and societal benefits to our customers. We are a company that values human centred leadership, curiosity, adaptability and collaboration, and we are committed to sustainability, diversity and inclusion. We are proud to be recognized as a 'Disability Confident' employer and a top performer in the FTSE Women Leaders Review for Women in Leadership and Women on Boards. Victrex values diversity and encourages applications from all sections of the community. That email is:
Apr 19, 2026
Full time
At Victrex, we are committed to harnessing the power of data to drive smarter decisions, improve operational performance, and support innovation across the organisation. We're now looking for a Senior Data Engineer to join our growing data and digital capability. About the Role As a Senior Data Engineer, you'll play a key role in designing, building and maintaining scalable, high performance data infrastructure and pipelines. You'll ensure our data systems are reliable, secure and optimised to support analytics, business intelligence and AI driven initiatives. Working closely with Data Engineers, Power BI Developers, Process Engineers, Business Analysts and subject matter experts, you'll embed best practice in data engineering and data management across Victrex. This role offers the flexibility of working predominantly from home, with occasional on site meetings or activities at Hillhouse. What You'll Be Doing Designing, implementing and maintaining scalable data pipelines using Microsoft technologies including Azure Data Factory, Azure Synapse, Azure Databricks and Fabric. Defining and enforcing best practices in data architecture, governance and security. Developing and optimising ETL/ELT processes in support of analytics and AI initiatives. Collaborating with data scientists and process engineers to integrate ML and LLM models into production environments. Managing performance, scalability and cost efficiency of our data warehouse and lakehouse solutions. Evaluating and implementing emerging AI/ML technologies to enhance data processing capability. Translating business needs into technical solutions through close stakeholder engagement. Ensuring compliance with internal governance and external regulatory requirements. Working with external suppliers and partners to support our data architecture roadmap. What We're Looking For Demonstrable experience in designing and optimising data pipelines for structured and unstructured data. Strong experience with DevOps and CI/CD methodologies. Proficiency in SQL and NoSQL database design and data modelling. Hands on experience with cloud platforms (Azure, AWS or GCP) and big data technologies such as Spark, Hadoop or Kafka. Strong programming skills in Python, Java or Scala. Deep understanding of ETL/ELT tools such as Apache Airflow, dbt or Informatica. Experience implementing data governance, data security and compliance frameworks. Excellent communication skills with an ability to translate technical concepts for non technical audiences. Proven ability to collaborate across functions and build strong stakeholder relationships. Good understanding of broader business processes and organisational goals. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering or a related field (desirable). Relevant professional experience in data engineering (essential). NO RECRUITMENT AGENCIES PLEASE. At present, we are not accepting any candidates via a recruitment agency or third party. About Victrex Victrex is a global leader in high performance polymers, serving sectors such as automotive, aerospace, energy, industrial, electronics and medical. We focus on developing advanced PEEK and PAEK solutions that deliver environmental and societal benefits to our customers. We are a company that values human centred leadership, curiosity, adaptability and collaboration, and we are committed to sustainability, diversity and inclusion. We are proud to be recognized as a 'Disability Confident' employer and a top performer in the FTSE Women Leaders Review for Women in Leadership and Women on Boards. Victrex values diversity and encourages applications from all sections of the community. That email is:
RDQ426R108 About the Role Lead a team dedicated to embedding security into Databricks' core platforms - including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. Shape company wide security architecture by driving "secure by default" platforms, opinionated frameworks, and systemic guardrails. Partner closely with engineering teams to make the secure path the easiest path. Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage. Set technical direction and empower engineers to build secure systems at massive scale. The Impact You Will Have Build secure platforms: Integrate security into infrastructure and platform systems from the ground up. Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption. Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root cause fixes across product areas. Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions. Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively. Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk. What We Look For Deep technical background in distributed systems, cloud, or platform security. Proven experience securing large scale, multi tenant architectures. Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries. Comfortable influencing principal engineers and product roadmaps. Demonstrated success leading technically senior engineers with high autonomy. A mindset that focuses on failure chains, not just individual vulnerabilities. Passion for building security solutions that are scalable, elegant, and frictionless for developers. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Apr 19, 2026
Full time
RDQ426R108 About the Role Lead a team dedicated to embedding security into Databricks' core platforms - including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. Shape company wide security architecture by driving "secure by default" platforms, opinionated frameworks, and systemic guardrails. Partner closely with engineering teams to make the secure path the easiest path. Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage. Set technical direction and empower engineers to build secure systems at massive scale. The Impact You Will Have Build secure platforms: Integrate security into infrastructure and platform systems from the ground up. Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption. Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root cause fixes across product areas. Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions. Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively. Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk. What We Look For Deep technical background in distributed systems, cloud, or platform security. Proven experience securing large scale, multi tenant architectures. Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries. Comfortable influencing principal engineers and product roadmaps. Demonstrated success leading technically senior engineers with high autonomy. A mindset that focuses on failure chains, not just individual vulnerabilities. Passion for building security solutions that are scalable, elegant, and frictionless for developers. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Job Posting Title Technical Analyst - Databricks, Data Management page is loaded Job Posting Title Technical Analyst - Databricks, Data Managementremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we're developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron's collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. The Senior Technical Analyst will lead the design and delivery of a regulatory grade data foundation supporting Broker Dealer and CUSO reporting obligations. The role focuses on establishing a governed Data to Capital value chain that reduces data opacity, enables regulator defensible reporting, and delivers audit ready lineage, reconciliation, and controls across capital, liquidity, and market activities. The Analyst will design and implement a Databricks Medallion Architecture (Bronze / Silver / Gold) to create a trusted Golden Source, supporting requirements such as Reg YY, 2052a (5G), Basel III Endgame / SA CCR, and BCBS 239, while enabling explainable, governed use of AI for anomaly detection and remediation. Key Job Duties Define the target state architecture for a regulatory grade CUSO Data Fabric using Databricks (Delta Lake, Unity Catalog, Workflows). Design and implement pipelines: + Raw ingestion with full lineage preservation + Validated and reconciled datasets with T+1 controls + Curated regulatory data marts for Reg YY, 2052a, capital/RWA, and management analytics Build end to end lineage, metadata standards, and audit evidence outputs so every reported figure is traceable to raw source data and transformation logic. Engineer explainable reconciliation controls between front office trade feeds and finance / GL sources, including break classification and decision logs. Implement automated regulatory controls for identifier integrity (LEI/UTI/UPI), timeliness SLAs, error correction workflows, and regulatory "clock" concepts. Enable AI assisted anomaly detection and remediation in a governed, human in the loop framework with no black box regulatory outputs. Support phased modernization delivery through diagnostics, target architecture blueprints, and proof of value pilots for priority reporting streams. Qualifications Deep expertise in Databricks architecture, including Delta Lake (versioning and time travel), Unity Catalog (RBAC and lineage), Workflows, and Spark / PySpark optimization. Proven experience in regulatory data management and governance aligned with BCBS 239, with emphasis on accuracy, completeness, and adaptability. Strong experience designing front to back data lineage and controls across trading, operations, and finance systems. Ability to design deterministic, explainable, testable, and scalable reconciliation and data quality rules. Experience supporting Broker Dealer regulatory reporting under heightened supervisory expectations (e.g. Federal Reserve, OCC). Strong stakeholder leadership across Risk & Compliance, Data Office, IT / DevOps, and Business Line Owners. Equal Opportunity & Compliance Huron is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace. All employment decisions are made without regard to race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. Position Level Senior Associate Country United KingdomAt Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work together. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues. Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements. Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
Apr 18, 2026
Full time
Job Posting Title Technical Analyst - Databricks, Data Management page is loaded Job Posting Title Technical Analyst - Databricks, Data Managementremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We're helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we're developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you'll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron's collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. The Senior Technical Analyst will lead the design and delivery of a regulatory grade data foundation supporting Broker Dealer and CUSO reporting obligations. The role focuses on establishing a governed Data to Capital value chain that reduces data opacity, enables regulator defensible reporting, and delivers audit ready lineage, reconciliation, and controls across capital, liquidity, and market activities. The Analyst will design and implement a Databricks Medallion Architecture (Bronze / Silver / Gold) to create a trusted Golden Source, supporting requirements such as Reg YY, 2052a (5G), Basel III Endgame / SA CCR, and BCBS 239, while enabling explainable, governed use of AI for anomaly detection and remediation. Key Job Duties Define the target state architecture for a regulatory grade CUSO Data Fabric using Databricks (Delta Lake, Unity Catalog, Workflows). Design and implement pipelines: + Raw ingestion with full lineage preservation + Validated and reconciled datasets with T+1 controls + Curated regulatory data marts for Reg YY, 2052a, capital/RWA, and management analytics Build end to end lineage, metadata standards, and audit evidence outputs so every reported figure is traceable to raw source data and transformation logic. Engineer explainable reconciliation controls between front office trade feeds and finance / GL sources, including break classification and decision logs. Implement automated regulatory controls for identifier integrity (LEI/UTI/UPI), timeliness SLAs, error correction workflows, and regulatory "clock" concepts. Enable AI assisted anomaly detection and remediation in a governed, human in the loop framework with no black box regulatory outputs. Support phased modernization delivery through diagnostics, target architecture blueprints, and proof of value pilots for priority reporting streams. Qualifications Deep expertise in Databricks architecture, including Delta Lake (versioning and time travel), Unity Catalog (RBAC and lineage), Workflows, and Spark / PySpark optimization. Proven experience in regulatory data management and governance aligned with BCBS 239, with emphasis on accuracy, completeness, and adaptability. Strong experience designing front to back data lineage and controls across trading, operations, and finance systems. Ability to design deterministic, explainable, testable, and scalable reconciliation and data quality rules. Experience supporting Broker Dealer regulatory reporting under heightened supervisory expectations (e.g. Federal Reserve, OCC). Strong stakeholder leadership across Risk & Compliance, Data Office, IT / DevOps, and Business Line Owners. Equal Opportunity & Compliance Huron is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace. All employment decisions are made without regard to race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. Position Level Senior Associate Country United KingdomAt Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work together. Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues. Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements. Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
About Octopus Electroverse We're making electric vehicle ownership as smart and as simple as possible by building the giant, virtual charging platform of the future. In just four years, Octopus Electroverse has grown to become one of the largest eMobility players globally, with over 1 million connected electric vehicle chargers and a customer ecosystem spanning web, iOS, Android, CarPlay, Android Auto & Automotive OS, and more. But it's just the start: we're busy expanding internationally, working with more automotive and tech partners, building exciting new features at scale, and creating the integrated charging experiences of the future - all in the name of making public EV charging super simple for customers. Electroverse is a multifunctional team made up of product, development, commercial, operations, marketing, partnerships and more - all focused together on making Octopus the go to name in EV charging. This Role We are seeking a passionate data professional to drive the electrification of transport by transforming complex information into strategic assets. You will work with a rich variety of datasets, including charge point telemetry, user behaviour, marketing campaigns, sales figures, and operational metrics. Your mission will be to present data with the aim of uncovering actionable insights that enhance efficiency and guide decision making across the entire business. This role offers end to end ownership of the data pipeline. As a key member of a small, high growth team, you will do more than just manage data; you will be instrumental in building our data function. This includes establishing best practices, creating automated pipelines, and shaping the foundational framework for how we leverage data to succeed. What you'll do You'll create SQL data models with dbt to power dashboards and applications You'll develop and maintain data pipelines and automated processes in Airflow and Python You'll integrate third party APIs and databases into our data flows You'll perform in depth analysis and data transformations with SQL, Python, and Jupyter Notebooks You'll prototype internal data applications and tools (Streamlit, Lightdash, Jupyter) You'll ensure data quality and reliability throughout the lifecycle You'll collaborate with product, technology, commercial and strategy teams to deliver high impact insights and tools What you'll have Data Modelling Experience: Proficiency in using dbt (ideally) for data modelling Dashboard and Data Product Development: Experience in creating data dashboards and developing data products. Collaborative Projects: Experience working on collaborative projects with business teams and familiarity with agile or similar methodologies. Autonomous Problem Solving: Ability to work independently, scope problems, and deliver pragmatic solutions. Data Lifecycle Expertise: Versatility in handling the entire data lifecycle, from ingestion to visualisation and presentation. Tool Building: Passion for creating robust and usable tools to enhance team efficiency. Data Analysis Skills: Proficiency in SQL, python, pandas/numpy, Databricks/Jupyter Notebooks, and experience with large datasets in production environments. GenAI: Experience implementing agentic workflows (nice to have) Curiosity and Drive: Self motivated with a strong desire to learn and improve without lots of help and support. Growth mindset: Learns fast and is enthusiastic about learning new technologies Time Management: Ability to manage multiple projects simultaneously in a fast paced environment. Passion for Net Zero: You don't need to be deeply familiar with the EV market and products (we can teach that), but a passion for the transition to net zero is an excellent start. What we work with dbt for data modelling Lightdash and Databricks AI/BI Dashboards as business intelligence tools Databricks Delta Lake for data lake and warehouse storage and querying python as our main programming language Jupyter and Jupyter Hub for notebook analytics and collaboration Circle CI for continuous deployment AWS cloud infrastructure Kubernetes for data services and task orchestration Airflow for job scheduling and tracking Parquet and Delta file formats on S3 for data lake storage Streamlit for data applications The projects will be varied and we're looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions. Why else you'll love it here • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! • Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership • Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you. P.S. Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Apr 17, 2026
Full time
About Octopus Electroverse We're making electric vehicle ownership as smart and as simple as possible by building the giant, virtual charging platform of the future. In just four years, Octopus Electroverse has grown to become one of the largest eMobility players globally, with over 1 million connected electric vehicle chargers and a customer ecosystem spanning web, iOS, Android, CarPlay, Android Auto & Automotive OS, and more. But it's just the start: we're busy expanding internationally, working with more automotive and tech partners, building exciting new features at scale, and creating the integrated charging experiences of the future - all in the name of making public EV charging super simple for customers. Electroverse is a multifunctional team made up of product, development, commercial, operations, marketing, partnerships and more - all focused together on making Octopus the go to name in EV charging. This Role We are seeking a passionate data professional to drive the electrification of transport by transforming complex information into strategic assets. You will work with a rich variety of datasets, including charge point telemetry, user behaviour, marketing campaigns, sales figures, and operational metrics. Your mission will be to present data with the aim of uncovering actionable insights that enhance efficiency and guide decision making across the entire business. This role offers end to end ownership of the data pipeline. As a key member of a small, high growth team, you will do more than just manage data; you will be instrumental in building our data function. This includes establishing best practices, creating automated pipelines, and shaping the foundational framework for how we leverage data to succeed. What you'll do You'll create SQL data models with dbt to power dashboards and applications You'll develop and maintain data pipelines and automated processes in Airflow and Python You'll integrate third party APIs and databases into our data flows You'll perform in depth analysis and data transformations with SQL, Python, and Jupyter Notebooks You'll prototype internal data applications and tools (Streamlit, Lightdash, Jupyter) You'll ensure data quality and reliability throughout the lifecycle You'll collaborate with product, technology, commercial and strategy teams to deliver high impact insights and tools What you'll have Data Modelling Experience: Proficiency in using dbt (ideally) for data modelling Dashboard and Data Product Development: Experience in creating data dashboards and developing data products. Collaborative Projects: Experience working on collaborative projects with business teams and familiarity with agile or similar methodologies. Autonomous Problem Solving: Ability to work independently, scope problems, and deliver pragmatic solutions. Data Lifecycle Expertise: Versatility in handling the entire data lifecycle, from ingestion to visualisation and presentation. Tool Building: Passion for creating robust and usable tools to enhance team efficiency. Data Analysis Skills: Proficiency in SQL, python, pandas/numpy, Databricks/Jupyter Notebooks, and experience with large datasets in production environments. GenAI: Experience implementing agentic workflows (nice to have) Curiosity and Drive: Self motivated with a strong desire to learn and improve without lots of help and support. Growth mindset: Learns fast and is enthusiastic about learning new technologies Time Management: Ability to manage multiple projects simultaneously in a fast paced environment. Passion for Net Zero: You don't need to be deeply familiar with the EV market and products (we can teach that), but a passion for the transition to net zero is an excellent start. What we work with dbt for data modelling Lightdash and Databricks AI/BI Dashboards as business intelligence tools Databricks Delta Lake for data lake and warehouse storage and querying python as our main programming language Jupyter and Jupyter Hub for notebook analytics and collaboration Circle CI for continuous deployment AWS cloud infrastructure Kubernetes for data services and task orchestration Airflow for job scheduling and tracking Parquet and Delta file formats on S3 for data lake storage Streamlit for data applications The projects will be varied and we're looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions. Why else you'll love it here • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit! • Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership • Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you. P.S. Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Partnered with a UK wide Digital Transformation Consultancy who are going through an intense ramp up in the Data Engineering space with a wealth of new ground-breaking projects across the Public and Private sectors looking for multiple Senior Data Engineering Consultants across the Bristol and London regions. Role Requirements Act as SME specifically in leading, designing and implementing data solutions that meet key business requirements. Support Architects in realising Data system design such as Meshes, Warehouses and event based systems. Implement Data flows to connect operational systems and Data Analytics for business intelligence systems. Re Engineer, develop and optimise code ensuring processes run optimally. Communicate and ensure best Data Engineering practises internally and with clients. Provide support where applicable to consultants in their professional development. Experience required Proven track record in Snowflake, Python, AWS, DBT and Terraform. Broad knowledge across cloud architectures, networking and distributed computing systems. Data system design such as Data Lakes, Data Meshes and Data Warehouses. Proven track record working directly with Clients or Consulting experience. Infrastructure delivery on any Data platform including Snowflake, Elastic, Databricks, Splunk. If you are open to exploring new opportunities and would like to know more information feel free to reach out with your latest CV and availability for a call to
Apr 17, 2026
Full time
Partnered with a UK wide Digital Transformation Consultancy who are going through an intense ramp up in the Data Engineering space with a wealth of new ground-breaking projects across the Public and Private sectors looking for multiple Senior Data Engineering Consultants across the Bristol and London regions. Role Requirements Act as SME specifically in leading, designing and implementing data solutions that meet key business requirements. Support Architects in realising Data system design such as Meshes, Warehouses and event based systems. Implement Data flows to connect operational systems and Data Analytics for business intelligence systems. Re Engineer, develop and optimise code ensuring processes run optimally. Communicate and ensure best Data Engineering practises internally and with clients. Provide support where applicable to consultants in their professional development. Experience required Proven track record in Snowflake, Python, AWS, DBT and Terraform. Broad knowledge across cloud architectures, networking and distributed computing systems. Data system design such as Data Lakes, Data Meshes and Data Warehouses. Proven track record working directly with Clients or Consulting experience. Infrastructure delivery on any Data platform including Snowflake, Elastic, Databricks, Splunk. If you are open to exploring new opportunities and would like to know more information feel free to reach out with your latest CV and availability for a call to
A leading software organization in London seeks a Senior Data Engineer to design and implement a modern cloud-based data platform. The role involves architecting data pipelines, ensuring data security, and collaborating with data teams. Candidates should have at least 5 years' experience in data engineering, with a strong background in Azure Databricks, Python, and data troubleshooting. This position offers a competitive salary, 25 days annual leave, and additional benefits in a hybrid work environment.
Apr 17, 2026
Full time
A leading software organization in London seeks a Senior Data Engineer to design and implement a modern cloud-based data platform. The role involves architecting data pipelines, ensuring data security, and collaborating with data teams. Candidates should have at least 5 years' experience in data engineering, with a strong background in Azure Databricks, Python, and data troubleshooting. This position offers a competitive salary, 25 days annual leave, and additional benefits in a hybrid work environment.
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Apr 16, 2026
Full time
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Strategic Enterprise Lakebase Account Executive London, United Kingdom Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas - including platform teams and developers, data teams, and central IT- articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase's benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our competitive assets, benchmarks, and customer references. Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co selling motions with key ISVs and GSIs. Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation. What we look for: Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. Executive presence with the ability to whiteboard architectures, lead C level conversations, and build trust with senior decision makers. Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. Bachelor's degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Apr 16, 2026
Full time
Strategic Enterprise Lakebase Account Executive London, United Kingdom Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas - including platform teams and developers, data teams, and central IT- articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase's benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our competitive assets, benchmarks, and customer references. Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co selling motions with key ISVs and GSIs. Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation. What we look for: Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. Executive presence with the ability to whiteboard architectures, lead C level conversations, and build trust with senior decision makers. Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. Bachelor's degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
