21 jobs found

MACHINE LEARNING ENGINEERING LEAD UP TO £125,000 LONDON This is an excellent opportunity for an experienced ML Engineering Manager or technical leader to join a high-growth fintech and take ownership of a growing machine learning engineering function. You'll combine hands-on technical contribution with people leadership, helping scale production ML systems while shaping the future direction of the team. THE COMPANY Our client is a growing fintech with a strong engineering culture and investment in data. Machine learning forms a critical part of their technology strategy, creating an environment where engineering teams have a direct impact on business outcomes. As the company continues to scale, they are investing in maturing their ML platform and expanding their engineering capabilities. THE ROLE Responsibilities include but are not limited to: Lead and develop a team of ML and MLOps engineers Own delivery, operational performance, and technical execution across the ML Engineering function Drive the evolution of machine learning infrastructure, deployment pipelines, and MLOps capabilities Contribute hands-on to architecture, platform development, and production ML initiatives Help shape the long-term strategy, growth, and maturity of the ML Engineering function YOUR SKILLS AND EXPERIENCE : Previous people management or engineering leadership experience Strong commercial experience in Software Engineering, ML Engineering, or MLOps environments Experience building, deploying, and supporting machine learning solutions at scale Experience working with AWS and ML tooling such as MLflow, Airflow, Metaflow, or Snowflake Ability to balance technical leadership, strategic thinking, and hands-on engineering contribution SALARY AND BENEFITS Up to £125,000 base salary Contributory pension scheme HOW TO APPLY Please register your interest to Mia Randhawa by sending your CV through the 'Apply' link

Key Responsibilities Design scalable, secure, and efficient data architectures Develop data platforms, data lakes/lakehouses, and ETL/ELT solutions Translate business requirements into technical solutions Create data roadmaps aligned to business objectives and regulatory requirements Collaborate with stakeholders across business and technology teams Essential Experience Proven Data Architect experience, ideally within Financial Services or a regulated industry Strong knowledge of data architecture, data modelling, and data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data quality, and data security Excellent stakeholder management and communication skills Desirable Skills Data strategy development Python or similar programming languages Experience with Power BI, Tableau, or other reporting tools Data governance and data quality tooling Agile delivery experience Leadership or mentoring experience This is an excellent opportunity to work on enterprise-scale data transformation programmes, leveraging modern cloud and AI-enabled technologies while helping organisations maximise the value of their data.

Data Architect Bristol / Hybrid - £65,000 - £80,000 A fantastic opportunity for a Data Architect / Senior Data Engineer to join a growing SaaS company in Bristol, with an initial responsibility of owning the architecture of two data platforms. The initial priority will be a brand new internal BI Snowflake based platform. Snowflake is new to the company, so you will help to build Snowflake knowledge and capabilities across the data team. The second is a SQL based customer facing platform which needs evolving - you will have the chance to shape its architecture from the ground up, and help it support AI capabilities. It would suit a technical individual with excellent communication and stakeholder management skills. The role offers the chance to not just own the architecture of two data platforms, but to help shape the growing architecture function. You will likely have the following skills / experience: Data architecture on Snowflake Strong SQL and ELT / ETL knowledge Strong understanding of data governance Stakeholder management, and communicating technical ideas to non-technical people Currently working as a Data Architect, or a Data Engineer looking to step up The company are based in central Bristol and work on a hybrid basis, with two days a week in the office. Other benefits include: 27 days holiday Private health insurance Annual bonus Ongoing training and development Flexible working

The Team & Focus of the Role We are seeking a highly motivated and detail-oriented Data Quality Engineer to establish, maintain, and enhance the organisation's data architecture, governance, and quality frameworks. This role will be responsible for overseeing and ensuring that business-critical data is trusted, well-documented, traceable, and fit for purpose across all systems and platforms. The successful candidate will act as the primary owner of key data management artefacts including authoritative source registers, data lineage documentation, data dictionaries, reference data standards, integration registers, and data quality controls. They will work closely with business stakeholders, system owners, application teams, and data consumers to drive consistency, transparency, and confidence in enterprise data assets. They will also need to align commonly accepted industry data quality practices to the diverse property management operations of the organisation, requiring a flexible approach and ability to work with the business. In return, beyond your base salary you will be included in: A discretionary bonus scheme A generous holiday scheme which commences at 25 days with a sliding scale up to 30 days plus an additional day for your birthday, and additional days to cover the festive period! Enhanced maternity, paternity, adoption and shared parental leave An online money saving portal Death In Service cover, alongside access to an Employee Assistance Programme which includes health appoints for you and your family Volunteering Leave equating to 2 days per year (pro rata if you're part-time) Duties will include: Own and maintain the Authoritative (Golden) Source Register, ensuring trusted sources of business data are clearly identified and governed. Develop and maintain system and application mapping documentation showing how data is created, consumed, and managed across the organisation. Create and maintain end-to-end data lineage documentation to provide transparency of data movement, transformation, and consumption. Create and maintain enterprise Data Dictionaries containing technical and business definitions for key data elements. Define data quality rules and set precise metrics for accuracy, completeness, consistency, uniqueness, and timeliness. Define and implement data quality rules, validation controls, and quality thresholds for critical data assets. Profile and cleanse data analyse data structures to spot anomalies, missing fields, or format errors, and design sanitation processes Develop automated monitoring and reporting processes to measure data quality performance. Partner with business data owners, system owners, and operational teams to improve enterprise data management practices. Support data governance initiatives and compliance requirements through the maintenance of accurate data artefacts and controls. Provide guidance and training to colleagues on data standards, lineage, quality management, and governance processes. The successful candidate will have Experience in Data Governance, Data Management, Data Engineering or related disciplines. Strong understanding of data architecture, data modelling, and integration concepts. Experience documenting data lineage, data flows, and system relationships. Knowledge of data quality frameworks, controls, and monitoring techniques. Experience developing and maintaining data dictionaries and metadata repositories. Strong SQL and data analysis skills. Experience working with data warehouses, ETL/ELT processes, and cloud-based data platforms. Excellent stakeholder management and communication skills. Strong analytical and problem-solving capabilities. Desirable Experience with data cataloguing or lineage tools. Knowledge of Snowflake, AWS Glue and Power BI. Knowledge of different database management systems and strategies. Understanding of data governance frameworks such as DAMA-DMBOK. Experience supporting regulatory and compliance requirements relating to data management. Familiarity with master data management and reference data management principles. Why Fisher German? We've been around for a while, but it doesn't mean we are behind the times! Across our office network we offer a hybrid working approach to help our colleagues design their working day to suit their diaries. Some days you might be in the office enjoying a collaborative team day, and other days might see you focussing on project work at home. Wherever you choose to work, you'll be part of a social and digitally connected workforce with the chance to get involved in a variety of activities, like sports events, pop-up bars, BBQs, CPD days, live leadership updates on Zoom, picnics in the park and lots more. What's not to love? We work hard but we also have lots of fun! If that sounds like something you would enjoy, then please get in touch. We have a history going back as far as 1830 but have been Fisher German since 2000. We operate UK wide advising and managing a range of client portfolios with national visibility across all the 6-property market sectors; rural, commercial, development, residential, infrastructure services and sustainable energy. Bring Yourself to Work It's simple really, we are passionate about what we do, and we want you to be driven to succeed with us. For this to happen, you need to feel supported and included which is why we're proud to be an Equal Opportunities Employer.

Data Engineer - Data Modelling Sector: Automotive / Financial Services Programme: NextGen DevOps Rate: £470 per day Location: UK Remote IR35 status: Inside IR35 Your new company You'll be supporting a major transformation programme within a complex automotive and financial services environment.The programme will deliver both Operations and Development services and support several significant transformation initiatives, including mainframe modernisation, integration of financial services platforms with SaaS products, and transformation of the wider data landscape. Your new role As a Data Engineer / Data Modelling Specialist, you'll work closely with business and technical stakeholders to understand existing processes and data requirements and translate these into effective enterprise data solutions.A key focus will be designing and maintaining conceptual, logical and physical data models, alongside database schemas and data structures that support scalable, reliable enterprise solutions.You'll also contribute to data integration, legacy modernisation and database optimisation while working alongside architecture, engineering and development teams across the wider transformation programme. Key responsibilities Work with business and technical stakeholders to understand business processes and data requirements. Translate business requirements into enterprise data solutions and database designs. Design and maintain conceptual, logical and physical data models. Design and develop enterprise database schemas and data structures. Build and maintain enterprise data solutions and integrations. Optimise databases and data solutions for performance, scalability and reliability. Support the transformation and modernisation of legacy data environments. Contribute to data integration between enterprise applications, SaaS platforms and other systems. Maintain appropriate standards across data quality, governance and performance. Work alongside architecture, engineering and development teams across the wider programme. What you'll need to succeed Essential skills and experience You'll need strong commercial experience across: Enterprise data modelling and database design Conceptual, logical and physical data modelling Database schema design and development Understanding complex business processes and translating requirements into data models and technical solutions SQL Relational database technologies, such as: PostgreSQL DB2 SQL Server Oracle Building and maintaining enterprise data solutions Data integration and transformation Database performance and optimisation Data quality and governance Working directly with business stakeholders to gather and translate data requirements Desirable skills and experience Additional experience across the following would be advantageous: AWS and cloud data AWS Aurora PostgreSQL AWS Database Migration Service (DMS) Snowflake Azure Google Cloud Platform (GCP) Data integration and engineering Informatica Talend Apache Airflow Python for data processing and automation Data warehouse design and optimisation APIs and event-driven architecture REST APIs GraphQL Apache Kafka Event-driven architectures DevOps / infrastructure Terraform Docker Kubernetes Experience working within regulated or complex enterprise environments, including Financial Services, Government, Healthcare or Logistics, would also be beneficial.Experience supporting legacy modernisation or large-scale data transformation programmes would be particularly relevant. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Salary £47,389 - £63,306 fixed-term contract until December 2027, 40 days leave inclusive of bank holidays and university closure days, hybrid working, generous pension scheme and many other generous benefits Hays Technology are recruiting for a Technical Business Analyst to join a leading higher education establishment in Birmingham.This is an excellent opportunity to join a major data and reporting transformation programme, supporting the transition from legacy reporting solutions to a modern Power BI-based reporting environment. Working closely with data engineers, analysts, IT teams and senior business stakeholders, you will take ownership of requirements gathering and analysis, translating complex business and reporting needs into clear technical requirements and data solutions. Key responsibilities: Lead requirements gathering workshops with technical and non-technical stakeholders. Translate business requirements into technical specifications for data, reporting and analytics solutions. Analyse existing reporting and business processes, identifying opportunities to improve, consolidate or replace legacy solutions. Work closely with data engineers and analysts to ensure business requirements are accurately reflected in technical solutions. Support the design and implementation of data models and Power BI semantic models. Produce process maps, data models, data lineage and technical documentation. Support User Acceptance Testing, defining acceptance criteria and ensuring solutions meet business requirements. Help drive adoption of new reporting and analytics capabilities across the organisation. We are looking for an experienced Technical Business Analyst with a strong background in data, BI or reporting transformation. You should have: Strong experience of business analysis, requirements gathering and process mapping. Experience working on projects delivering Kimball-style semantic/data models, including facts and dimensions. Strong understanding of data architecture and data modelling. Experience using SQL to interrogate relational or cloud-based data. Experience with BI and data visualisation technologies, ideally Power BI. The ability to translate complex technical and data requirements into clear business language. Strong stakeholder management skills, including working with senior stakeholders and technical teams. Understanding of data quality, governance and GDPR. Strong analytical and problem-solving skills Experience of Snowflake, dbt, Azure, Power BI semantic models, Agile delivery or working within the higher education sector would be advantageous. If you have the relevant experience and would like to apply, please submit your CV. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Our client is the Leader in their field and have ambitious plans supported by strong business pipeline to double the revenue of their business by the end of 2028. To enable this, they are embarking on a bold and significant business transformation reviewing and improving operational processes across the Group and modernising their technology stack. The Software Engineering team is close to being complete with Engineers, DevOps, Architect and Automation Testers hired. Now attention it turning to Data where we are looking for a Data Engineer. Currently the Data Team use SAS and MicroStrategy and Power BI for internal reporting. The Data team provide data analysis and insights on sales figures to their clients across the UK with one system providing one million lines of sales data every morning detailing how many units, where, when. A lot of legacy systems need migrating and moving from on-premise to Cloud. The new data platform will be Snowflake, but any experience of that, Fabric or Databricks or another Enterprise Data Platform is all good relevant experience. The role will be a mixture of improving legacy and building new pipelines for data ingestion. For example, new winning bids on projects will require extracting data from their EPOS, creating pipelines for upstream and downstream of data. Manual processes need to be automated. Experience Seeking: Data Engineering creating data pipelines for legacy and Cloud systems Awareness and experience of deploying Data systems via DevOps (DevSecOps desirable) Snowflake, Databricks or Fabric (Snowflake here) Strong SQL skills Extensive ETL Azure Cloud Python for scripting SAS Programming a bonus Tuesday/Wednesday in Peterborough, rest remote This is an exciting time to join this business at the beginning of their transformation to a modern Data Engineering practice

Robert Half Technology are assisting a market-leading threat intelligence organisation to recruit a Privacy & Data Security Engineer on a 2-year temporary contract basis. Hybrid working - London, 2-3 days per week. Role The Privacy & Data Security Engineer will lead the technical implementation of the organisation's global privacy and data security strategy, embedding Privacy by Design principles across data processing environments and customer-facing systems. Design and implement a comprehensive Data Ring-Fencing control framework, ensuring sensitive data is appropriately partitioned, protected and governed. Define and enforce logical and physical separation controls for high-sensitivity data, including PII, PCI and intellectual property. Establish secure data-sharing mechanisms, including Data Clean Rooms and controlled data pathways, enabling analysis while minimising privacy and exposure risks. Work closely with Engineering, DevOps, Cloud and Data teams to implement micro-segmentation, IAM and granular access controls across technical environments. Embed automated privacy and security controls into system architecture, CI/CD pipelines and data processing workflows. Implement and manage privacy-preserving technologies including tokenisation, hashing, salting, de-identification and differential privacy. Develop technical controls and safeguards to support compliance with GDPR, CCPA/CPRA and emerging data residency and data sovereignty requirements. Establish appropriate monitoring, control testing and evidence mechanisms to demonstrate ongoing adherence to privacy and security requirements. Develop enforcement blueprints, audit templates, evidence logs and control documentation to support internal audits and external certifications, including SOC 2 and ISO 27001. Maintain a Control Rationale framework, documenting how technical configurations and security controls map to applicable privacy and regulatory requirements. Work closely with Legal, Privacy, Product, Engineering and Security stakeholders to translate regulatory and privacy requirements into practical technical controls. Support the governance and management of exceptions to ring-fencing and data protection controls. Develop and deliver role-specific guidance and training for developers, data scientists and other technical teams on secure data handling and privacy protocols. Keep abreast of developments in privacy engineering, data security, cloud security, threat intelligence and data sovereignty, continuously improving the organisation's control environment. Profile The Privacy & Data Security Engineer will have 3+ years' experience in Privacy Engineering, Data Security, Cloud Infrastructure Security or a closely related discipline. Strong understanding of privacy-by-design principles and the technical implementation of data protection controls. Good knowledge of GDPR, CCPA/CPRA, data residency and data sovereignty, with the ability to translate regulatory requirements into technical solutions. Experience with IAM, micro-segmentation, Zero Trust Architecture (ZTA) and Data Loss Prevention (DLP) technologies. Practical experience with privacy-preserving technologies such as tokenisation, hashing, salting, de-identification and differential privacy. Experience working with AWS, Azure and/or GCP, including native identity, access control and network segmentation capabilities. Familiarity with modern data platforms and orchestration technologies such as Snowflake, Databricks and Airflow. Experience working within cybersecurity, threat intelligence or security-focused environments would be highly advantageous. Understanding of Data Clean Rooms and secure data-sharing architectures would be beneficial. Experience producing technical control documentation, audit evidence and compliance artefacts for frameworks such as ISO 27001 and SOC 2. Relevant qualifications such as CIPT, CIPM, CISSP or CISM would be advantageous. Excellent written and verbal communication skills, with the ability to explain complex privacy and security concepts clearly to Legal, Privacy, Product, Engineering and Security stakeholders. Strong analytical and problem-solving skills, with excellent attention to detail and the ability to operate effectively across technical and governance functions. Company Market-leading threat intelligence organisation with offices in London 2-year temporary contract Hybrid working - London, 2-3 days per week Opportunity to work within a highly security-focused environment at the intersection of privacy engineering, data security and threat intelligence Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training. 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:

We're looking for an AI Engineer to help build the data foundations powering the next generation of AI applications, agents and copilots. Key Responsibilities: Design and develop semantic layers, knowledge graphs and AI-ready data models Build RAG and Agentic AI solutions using modern LLM frameworks Work with Data Engineering teams to create business context across complex datasets Develop scalable retrieval, search and reasoning capabilities for AI applications Contribute to AI governance, data quality and platform architecture Required Experience: Strong Python and SQL skills Experience with AI/ML, LLMs or GenAI applications Knowledge of semantic modelling, knowledge graphs or metadata-driven architectures Experience with RAG, vector databases and modern AI frameworks Exposure to AWS, Azure or GCP Desirable: Neo4j or graph database experience LangChain, LangGraph or LlamaIndex Databricks, Snowflake or modern data platforms Agentic AI and AI platform engineering

After clicking Apply, you'll be invited to create a profile on the Via website to complete your application. This doesn't guarantee you'll be matched to this specific role - Via reviews every application (AI first, then a human checks the fit) and shortlists the right candidates. Your profile also stays active for other relevant roles on the platform, and stays anonymous until you match. It takes just a few minutes. Salary: Up to £125,000 per year Car allowance: £6,000 per year Bonus: Up to 25% discretionary bonus Location: London or Leicester Working arrangement: Hybrid - 2 days per week in the office Start date: Flexible Full-time Permanent About the opportunity Via is partnering with a major UK consumer business looking for a Principal Data Engineer to provide technical and people leadership across its data engineering capability. This is a senior role combining data architecture, engineering leadership, people development and hands-on technical problem solving. You'll act as a key technical authority for a modern cloud-first data platform, helping shape its architecture while ensuring the business can deliver trusted, scalable and cost-effective data products. The environment includes Snowflake, AWS and dbt, and you'll work closely with Data Engineering, Product, Enterprise Architecture and Technology leadership. What you'll be doing Provide technical leadership across the data engineering function Shape the architecture and evolution of a modern cloud-first enterprise data platform Design scalable, reliable and cost-effective data solutions Lead technical solution design across complex data initiatives Work extensively with Snowflake, AWS and dbt Guide the development of data pipelines and enterprise data products Establish strong data modelling and engineering standards Work across conceptual, logical and physical data modelling Ensure technical solutions align with wider data and technology strategy Identify and address technical debt across core data platforms Monitor cloud and platform consumption and identify opportunities to optimise costs Own technical risks and issues across projects and programmes Support the resolution of service and production issues across the data ecosystem Provide estimates and technical input into engineering and product planning Mentor and develop Lead Data Engineers Support the development of the wider Data Engineering team Contribute to recruitment, onboarding, performance and career development Work closely with Product, Architecture and Technology teams Evaluate emerging technologies and introduce relevant engineering practices What we're looking for Significant experience in senior or principal-level data engineering Strong technical leadership experience Extensive experience designing and developing modern cloud data platforms Strong Snowflake experience, or significant experience with comparable modern cloud data platforms Strong AWS experience Experience with services such as S3, Lambda, SQS, Kinesis or Firehose Strong dbt experience Excellent SQL skills Programming experience with Python, Node or another relevant language Extensive data modelling experience Strong understanding of dimensional modelling Experience designing scalable data pipelines and data products Infrastructure-as-code experience, ideally Terraform Good understanding of CI/CD and modern engineering practices Experience with GitHub, GitLab or similar development tooling Strong understanding of cloud architecture and platform design Experience managing technical risk and making complex engineering decisions Strong stakeholder management and communication skills Experience coaching and mentoring technical colleagues Experience developing senior engineers and engineering capability Useful additional experience Power BI or ThoughtSpot Automated testing and data quality practices Cloud consumption and cost optimisation Vendor management Enterprise-scale data environments Technical recruitment and talent development You don't need experience with every individual technology listed. We're particularly interested in experienced Data Engineering leaders who combine strong cloud architecture and modern data stack knowledge with the ability to develop engineers and influence technical strategy. Why apply? Salary up to £125,000 £6,000 annual car allowance Up to 25% discretionary bonus ShareSave scheme Hybrid working with 2 days per week in London or Leicester Private healthcare Pension Annual leave Principal-level technical ownership and influence Work with Snowflake, AWS and dbt at enterprise scale Shape the future architecture of a major cloud data platform Significant technical leadership responsibility Opportunity to develop and mentor experienced Data Engineers Strong learning and development opportunities With the £6,000 car allowance and maximum discretionary bonus, the total potential annual cash package can exceed £160,000, alongside the ShareSave scheme and wider benefits.

Data Analyst - Product Lead Up to £80,000 We are partnering with a leading technology and transformation consultancy that delivers large-scale data, cloud and digital transformation programmes for clients across both the public and private sectors. With a strong reputation for helping organisations unlock value from their data, the business is continuing to expand its Data & Analytics practice and is looking to appoint an experienced Data Analyst. This is an opportunity to join a high-performing consultancy environment, working on complex enterprise programmes that combine business transformation, data modernisation and advanced analytics. The role sits at the intersection of business, data and technology, requiring someone who can shape analytical strategy while leading the delivery of data-driven outcomes. Working closely with client stakeholders, architects, engineers and analytics teams, you will be responsible for leading analytical workstreams, defining delivery approaches and ensuring data products and services are aligned to business objectives. You will play a key role in helping organisations modernise their data capabilities using cloud, analytics and AI technologies. Key Responsibilities Lead the delivery of analytical outcomes within wider data and transformation programmes. Own and oversee analytics delivery plans, ensuring alignment with business objectives. Facilitate workshops to gather requirements, define success measures and align stakeholders. Establish best practices across analytics delivery, documentation, governance and quality assurance. Support the implementation of modern cloud-based analytics, data and AI solutions. Contribute to bids, proposals and pre-sales activities. Act as a trusted advisor to senior stakeholders, providing strategic guidance on data and analytics initiatives. Skills & Experience Significant experience leading analytics, reporting or data product delivery within complex enterprise environments. Proven track record delivering data transformation, analytics modernisation or cloud data platform programmes. Strong SQL and Python skills with advanced analytical capabilities. Experience working with modern data platforms such as Databricks, Snowflake, Microsoft Fabric or similar technologies. Strong understanding of data modelling principles including dimensional modelling. Strong BI and data visualisation experience using tools such as Power BI, Tableau or Looker. Excellent stakeholder management skills with the ability to communicate effectively across technical and business audiences. Consulting experience and the ability to lead client-facing engagements would be advantageous. What's on Offer Salary of up to £80,000 Opportunity to join a growing and highly regarded Data & Analytics consulting practice. Work on large-scale cloud, data and AI transformation programmes. Exposure to enterprise clients across a variety of industries and sectors. Strong career progression opportunities within a rapidly growing business. Access to industry-leading training, certifications and professional development. Performance-related bonus and comprehensive benefits package. Flexible and hybrid working arrangements.

Data Analyst - Product Lead Up to £80,000 We are partnering with a leading technology and transformation consultancy that delivers large-scale data, cloud and digital transformation programmes for clients across both the public and private sectors. With a strong reputation for helping organisations unlock value from their data, the business is continuing to expand its Data & Analytics practice and is looking to appoint an experienced Data Analyst. This is an opportunity to join a high-performing consultancy environment, working on complex enterprise programmes that combine business transformation, data modernisation and advanced analytics. The role sits at the intersection of business, data and technology, requiring someone who can shape analytical strategy while leading the delivery of data-driven outcomes. Working closely with client stakeholders, architects, engineers and analytics teams, you will be responsible for leading analytical workstreams, defining delivery approaches and ensuring data products and services are aligned to business objectives. You will play a key role in helping organisations modernise their data capabilities using cloud, analytics and AI technologies. Key Responsibilities Lead the delivery of analytical outcomes within wider data and transformation programmes. Own and oversee analytics delivery plans, ensuring alignment with business objectives. Facilitate workshops to gather requirements, define success measures and align stakeholders. Establish best practices across analytics delivery, documentation, governance and quality assurance. Support the implementation of modern cloud-based analytics, data and AI solutions. Contribute to bids, proposals and pre-sales activities. Act as a trusted advisor to senior stakeholders, providing strategic guidance on data and analytics initiatives. Skills & Experience Significant experience leading analytics, reporting or data product delivery within complex enterprise environments. Proven track record delivering data transformation, analytics modernisation or cloud data platform programmes. Strong SQL and Python skills with advanced analytical capabilities. Experience working with modern data platforms such as Databricks, Snowflake, Microsoft Fabric or similar technologies. Strong understanding of data modelling principles including dimensional modelling. Strong BI and data visualisation experience using tools such as Power BI, Tableau or Looker. Excellent stakeholder management skills with the ability to communicate effectively across technical and business audiences. Consulting experience and the ability to lead client-facing engagements would be advantageous. What's on Offer Salary of up to £80,000 Opportunity to join a growing and highly regarded Data & Analytics consulting practice. Work on large-scale cloud, data and AI transformation programmes. Exposure to enterprise clients across a variety of industries and sectors. Strong career progression opportunities within a rapidly growing business. Access to industry-leading training, certifications and professional development. Performance-related bonus and comprehensive benefits package. Flexible and hybrid working arrangements.

Data Analyst - Product Lead Up to £80,000 We are partnering with a leading technology and transformation consultancy that delivers large-scale data, cloud and digital transformation programmes for clients across both the public and private sectors. With a strong reputation for helping organisations unlock value from their data, the business is continuing to expand its Data & Analytics practice and is looking to appoint an experienced Data Analyst. This is an opportunity to join a high-performing consultancy environment, working on complex enterprise programmes that combine business transformation, data modernisation and advanced analytics. The role sits at the intersection of business, data and technology, requiring someone who can shape analytical strategy while leading the delivery of data-driven outcomes. Working closely with client stakeholders, architects, engineers and analytics teams, you will be responsible for leading analytical workstreams, defining delivery approaches and ensuring data products and services are aligned to business objectives. You will play a key role in helping organisations modernise their data capabilities using cloud, analytics and AI technologies. Key Responsibilities Lead the delivery of analytical outcomes within wider data and transformation programmes. Own and oversee analytics delivery plans, ensuring alignment with business objectives. Facilitate workshops to gather requirements, define success measures and align stakeholders. Establish best practices across analytics delivery, documentation, governance and quality assurance. Support the implementation of modern cloud-based analytics, data and AI solutions. Contribute to bids, proposals and pre-sales activities. Act as a trusted advisor to senior stakeholders, providing strategic guidance on data and analytics initiatives. Skills & Experience Significant experience leading analytics, reporting or data product delivery within complex enterprise environments. Proven track record delivering data transformation, analytics modernisation or cloud data platform programmes. Strong SQL and Python skills with advanced analytical capabilities. Experience working with modern data platforms such as Databricks, Snowflake, Microsoft Fabric or similar technologies. Strong understanding of data modelling principles including dimensional modelling. Strong BI and data visualisation experience using tools such as Power BI, Tableau or Looker. Excellent stakeholder management skills with the ability to communicate effectively across technical and business audiences. Consulting experience and the ability to lead client-facing engagements would be advantageous. What's on Offer Salary of up to £80,000 Opportunity to join a growing and highly regarded Data & Analytics consulting practice. Work on large-scale cloud, data and AI transformation programmes. Exposure to enterprise clients across a variety of industries and sectors. Strong career progression opportunities within a rapidly growing business. Access to industry-leading training, certifications and professional development. Performance-related bonus and comprehensive benefits package. Flexible and hybrid working arrangements.

After clicking Apply, you'll be invited to create a profile on the Via website to complete your application. This doesn't guarantee you'll be matched to this specific role - Via reviews every application (AI first, then a human checks the fit) and shortlists the right candidates. Your profile also stays active for other relevant roles on the platform, and stays anonymous until you match. It takes just a few minutes. Salary: Up to £125,000 per year Car allowance: £6,000 per year Bonus: Up to 25% discretionary bonus Location: London or Leicester Working arrangement: Hybrid - 2 days per week in the office Start date: Flexible Full-time Permanent About the opportunity Via is partnering with a major UK consumer business looking for a Principal Data Engineer to provide technical and people leadership across its data engineering capability. This is a senior role combining data architecture, engineering leadership, people development and hands-on technical problem solving. You'll act as a key technical authority for a modern cloud-first data platform, helping shape its architecture while ensuring the business can deliver trusted, scalable and cost-effective data products. The environment includes Snowflake, AWS and dbt, and you'll work closely with Data Engineering, Product, Enterprise Architecture and Technology leadership. What you'll be doing Provide technical leadership across the data engineering function Shape the architecture and evolution of a modern cloud-first enterprise data platform Design scalable, reliable and cost-effective data solutions Lead technical solution design across complex data initiatives Work extensively with Snowflake, AWS and dbt Guide the development of data pipelines and enterprise data products Establish strong data modelling and engineering standards Work across conceptual, logical and physical data modelling Ensure technical solutions align with wider data and technology strategy Identify and address technical debt across core data platforms Monitor cloud and platform consumption and identify opportunities to optimise costs Own technical risks and issues across projects and programmes Support the resolution of service and production issues across the data ecosystem Provide estimates and technical input into engineering and product planning Mentor and develop Lead Data Engineers Support the development of the wider Data Engineering team Contribute to recruitment, onboarding, performance and career development Work closely with Product, Architecture and Technology teams Evaluate emerging technologies and introduce relevant engineering practices What we're looking for Significant experience in senior or principal-level data engineering Strong technical leadership experience Extensive experience designing and developing modern cloud data platforms Strong Snowflake experience, or significant experience with comparable modern cloud data platforms Strong AWS experience Experience with services such as S3, Lambda, SQS, Kinesis or Firehose Strong dbt experience Excellent SQL skills Programming experience with Python, Node or another relevant language Extensive data modelling experience Strong understanding of dimensional modelling Experience designing scalable data pipelines and data products Infrastructure-as-code experience, ideally Terraform Good understanding of CI/CD and modern engineering practices Experience with GitHub, GitLab or similar development tooling Strong understanding of cloud architecture and platform design Experience managing technical risk and making complex engineering decisions Strong stakeholder management and communication skills Experience coaching and mentoring technical colleagues Experience developing senior engineers and engineering capability Useful additional experience Power BI or ThoughtSpot Automated testing and data quality practices Cloud consumption and cost optimisation Vendor management Enterprise-scale data environments Technical recruitment and talent development You don't need experience with every individual technology listed. We're particularly interested in experienced Data Engineering leaders who combine strong cloud architecture and modern data stack knowledge with the ability to develop engineers and influence technical strategy. Why apply? Salary up to £125,000 £6,000 annual car allowance Up to 25% discretionary bonus ShareSave scheme Hybrid working with 2 days per week in London or Leicester Private healthcare Pension Annual leave Principal-level technical ownership and influence Work with Snowflake, AWS and dbt at enterprise scale Shape the future architecture of a major cloud data platform Significant technical leadership responsibility Opportunity to develop and mentor experienced Data Engineers Strong learning and development opportunities With the £6,000 car allowance and maximum discretionary bonus, the total potential annual cash package can exceed £160,000, alongside the ShareSave scheme and wider benefits.

Senior Data Engineer - Python, Databricks & Counterparty Credit Risk Location: London - Hybrid We are recruiting for an experienced Senior Data Engineer to join a leading global banking organisation, working across a highly technical data environment supporting Counterparty Credit Risk (CCR), Credit Risk and wider risk data . This is a hands-on engineering position requiring strong expertise across Python, PySpark, SQL and Databricks , alongside experience designing, building and optimising scalable data pipelines and Lakehouse solutions. Candidates should ideally have previously worked with Counterparty Credit Risk or Credit Risk data , including areas such as counterparty/exposure data, risk analytics, regulatory risk or associated banking risk datasets. Key Responsibilities Design, develop and maintain scalable data pipelines using Python, PySpark and Databricks Build and optimise ETL/ELT workflows using Spark and Delta Lake Engineer and transform data supporting Counterparty Credit Risk, Credit Risk and wider risk functions Work with datasets relating to areas such as counterparties, credit exposures, limits, collateral and risk analytics Design robust data models and architectures across Lakehouse / Medallion environments Develop and manage Databricks notebooks, jobs and workflows Optimise large-scale distributed data processing and troubleshoot Spark performance Implement strong data quality, reconciliation, governance and monitoring controls Build reliable logging and alerting across production data pipelines Integrate data platforms with Power BI dashboards and wider applications Support CI/CD and engineering best practices across development, testing and production environments Work closely with Risk, Technology, Analytics and other senior stakeholders Required Experience 10+ years' experience across Data Engineering or closely related data disciplines Strong hands-on Python development experience Strong PySpark / Apache Spark engineering experience Extensive hands-on experience with Databricks , including notebooks, jobs/workflows and Delta Lake Advanced SQL and relational database experience Strong track record designing and building scalable ETL/ELT data pipelines Experience with Delta Lake, Lakehouse and/or Medallion architectures Experience handling banking risk data , ideally within Counterparty Credit Risk (CCR), Credit Risk, counterparty exposure or closely related risk domains Strong understanding of data modelling, data quality and production data engineering Cloud experience across Azure, AWS and/or GCP Experience with modern data platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data for Counterparty Credit Risk , including exposure/counterparty datasets Knowledge of areas such as PFE, EPE, EAD, CVA/XVA, SA-CCR, collateral, netting or counterparty limits Previous experience within an investment bank, global bank or capital-markets environment Databricks Data Engineer certification Kafka / Structured Streaming experience Delta Lake CDC, Time Travel and optimisation CI/CD, Git and DevOps experience Docker / Kubernetes experience Experience exposing data through APIs or supporting React-based front-end applications Experience supporting analytics or ML workloads within Databricks We are particularly interested in genuinely hands-on Senior Data Engineers who can demonstrate the Databricks and Python solutions they have personally designed, built, optimised and supported in production. If you have strong Databricks, Python and PySpark engineering experience alongside exposure to Counterparty Credit Risk, Credit Risk or banking risk data , please apply for further information.

Lead Data Architect / Modeller - Fintech £700-750/day outside IR35 London-based Short-term initial engagement - 3-months Working with a Fintech who are looking for a Lead Data Architect / Modeller to ensure the platform's data is structured correctly from the outset and can scale with business demand - this will be for someone to own the long-term data architecture and modelling between the engineering team who are focused on building and the analytics team who are consuming data. Lead Data Architect / Modeller, responsibilities: Define business-led conceptual data model across operational processes Design / shape the operational data architecture Ensure enterprise data models are scalable, consistent and reusable Help define the semantic layer Work closely with business stakeholders to understand how processes operate Challenge requirements Review existing direction and identify architectural or modelling issues Lead Data Architect / Modeller, key skills: Strong Data Architecture and Data Modelling background Fintech background Excellent conceptual and logical data modelling experience Experience designing data structures supporting operational workflows / case management Strong understanding of business requirements and the ability to translate them into scalable data models Modern event-driven architecture experience Strong stakeholder engagement and the confidence to challenge the business and engineering teams where appropriate Able to operate at both business/conceptual level and technical architecture level Lead Data Architect / Modeller, FinTech, Snowflake, outside IR35 Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Data Engineer London/ Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Solid understanding of data modelling , ETL/ELT processes, and performance optimization. Programming & Engineering Skills Proficiency in Python for data engineering tasks and automation. Ability to design and implement scalable, maintainable data pipelines . Experience with version control systems (e.g., Git) and collaborative development workflows. Leadership & Mentorship Ability to lead technical initiatives within the team and drive best practices. Experience in mentoring junior engineers , providing guidance on coding standards, design patterns, and career development. Comfortable with code reviews and fostering a culture of continuous improvement. Best Practices & Mindset Strong grasp of data quality principles , including validation and monitoring. Ability to read, understand, and refactor existing code effectively. Familiarity with CI/CD practices for data pipeline deployment. Comfortable working in cloud-native environments and following security/compliance standards. Nice-to-Have Exposure to streaming data architectures and event-driven systems. Knowledge of Snowflake performance tuning and cost optimization. If you find this opportunity intriguing and aligning with your skill set, we welcome the submission of your CV without delay. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

We're looking for an experienced Data Engineer to join our client's growing team, with a particular focus on Snowflake, data quality and data pipeline development. This is a permanent opportunity, paying up to £75,000 with hybrid working, and bonus of up to 15%. You will have the chance to make a lasting contribution to the data engineering capability as the client goes through a pivotal growth period. Please note, this is a hybrid role where you will need to be in the office at least two days a week. The Role Our data environment is currently undergoing an exciting period of change. We are consolidating a number of existing Azure Functions and data processes into a more streamlined, scalable Snowflake-based data platform. As a Data Engineer, you'll play a key role in this transition, helping to migrate existing pipelines and processes into Snowflake while ensuring the quality, reliability and usability of our data. You'll also work closely with our Data Scientists, supporting feature engineering and helping to make sure the data they need is accurate, accessible and fit for purpose. Key Responsibilities Support the migration and consolidation of existing data pipelines and processes into Snowflake. Develop and maintain robust, scalable data pipelines within the Snowflake environment. Work with existing Azure Functions and help identify opportunities to consolidate and improve the current architecture. Implement and improve data quality and validation processes using dbt. Develop data models and transformation processes to support analytical and data science requirements. Work closely with Data Scientists to support feature engineering and the development of data-driven solutions. Troubleshoot data pipeline and quality issues and ensure reliable data delivery. Contribute to the ongoing development of our data engineering practices, standards and architecture. About You We're looking for someone with a strong background in data engineering who enjoys working in an environment where there is an opportunity to shape and improve the way data is managed. You'll ideally have experience with: Snowflake and cloud-based data platforms. Building and maintaining data pipelines. dbt and data quality/testing frameworks. Azure, particularly Azure Functions or similar cloud-based services. SQL and data transformation. Data modelling and engineering for analytical use cases. Working collaboratively with Data Scientists, Analysts and wider technology teams. Experience supporting data migration or platform consolidation projects would be highly advantageous. On Offer Salary - up to £75,000 Hybrid working - minimum of 2 days a week in Windsor Up to 10% employer pension contribution PMI 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:

Data Engineering Manager London (3 Days a week) £90,000 + 20%-40% Bonus This is an exciting opportunity to lead a critical Data Engineering function during a major cloud transformation programme. You'll combine technical leadership with people management, helping shape the future of a modern enterprise data platform. The Company They are a large, data-driven aviation organisation investing heavily in modern technology and cloud infrastructure. Data plays a central role in business decision-making, and significant investment is being made to modernise platforms, processes, and engineering capabilities. This role will have meaningful influence on both technology direction and team development. The Role Lead the design, development, and deployment of scalable data pipelines Manage and develop a team of Data Engineers Drive cloud adoption and modern engineering practices Oversee data operations, reliability, and platform performance Work closely with Analytics, Architecture, and Technology teams Establish engineering standards, governance, and delivery processes Prioritise workloads and support successful project delivery Contribute to a major migration from legacy systems to a cloud-native environment Ensure compliance with data governance requirements Your Skills & Experience Strong experience leading Data Engineering functions or teams Advanced SQL expertise and database optimisation knowledge Hands-on experience with AWS technologies including S3, Glue, Lambda, and EC2 Strong understanding of data warehousing and data modelling principles Experience with Snowflake and modern cloud data platforms Python development skills Experience with workflow orchestration tools such as Airflow Knowledge of streaming technologies and real-time data processing Experience implementing CI/CD and engineering best practices What They Offer Competitive salary and comprehensive benefits package Hybrid working arrangement in London Opportunity to lead a strategic cloud transformation Significant influence across data and technology initiatives Leadership and career progression opportunities Collaborative and innovation-focused environment How to Apply Apply now to discuss this Data Engineering Manager opportunity in confidence.