13 jobs found

Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineer Senior Consultant - Job Specification Position Overview We are seeking a highly skilled Data Engineer Senior Consultant with hands on experience designing, building, and optimizing data solutions that enable advanced analytics and AI driven business transformation. This role requires expertise in modern data engineering practices, cloud platforms, and the ability to deliver robust, scalable data pipelines for diverse business domains such as finance, supply chain, energy, and commercial operations. Your Client Impact Design, develop, and deploy end to end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources. Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value. Ensure data quality, integrity, and governance throughout the data lifecycle. Optimize data storage, retrieval, and processing for performance and scalability on cloud platforms (Azure, AWS, GCP, Databricks, Snowflake). Translate business requirements into technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions. Essential Qualifications Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Proven experience building and maintaining large scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar. Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow, Prefect). Soft Skills Strong analytical and problem solving mindset with attention to detail. Good team player with effective communication and storytelling with data and insights. Consulting skills, including development of presentation decks and client facing documentation. Preferred Criteria Experience with real time data processing (Kafka, Kinesis, Azure Event Hub). Knowledge of big data storage solutions (Delta Lake, Parquet, Avro). Experience with data visualization tools (Power BI, Tableau, Looker). Understanding of AI/ML concepts and collaboration with AI teams. Preferred Qualifications Certifications such as: AWS Certified Data Analytics - Specialty SnowPro Advanced: Data Engineer EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We are seeking a Principal AI Engineer with expertise in Agentic AI systems and Large Language Models to lead the design, development, and deployment of advanced AI solutions. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities for our clients. As an influential hire in a growing organisation, your impact will be substantial, shaping technical strategy, cultivating our AI focused culture, and setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM driven solutions. Architect and implement robust AI systems, including end to end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud native AI infrastructure. Mentor and develop team expertise, positioning Hypercube as a leader in AI engineering excellence. Key responsibilities Technical leadership & strategy Act as the AI and LLM subject matter expert for internal teams and client engagements. Drive the strategic design and implementation of sophisticated AI solutions leveraging cutting edge Agentic AI architectures and LLM frameworks. Design, build, and maintain scalable AI and LLM based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Coordinate with cross functional teams (data engineers, data scientists, DevOps, stakeholders) to define and deliver client focused AI solutions. Communicate complex AI and LLM methodologies clearly to both technical peers and non technical stakeholders. Thought leadership & evangelism Advocate for best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD). Engage with the AI community through blogs, speaking engagements, and open source contributions. Support business development through demos, proposals, and technical pre sales activities. Foster strong client relationships, advising on AI and LLM strategic directions. Mentor colleagues, enhancing the team's collective capabilities. Technical skills Please apply even if you meet only some criteria - we value potential alongside experience. Core skills Agentic AI & LLMs: Hands on experience building, deploying, and managing large language models and agent based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (nice to have) skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration with complex external or hybrid cloud systems. Excellent communication across diverse technical audiences. What's in it for you? High Impact: Drive innovation in energy sector AI solutions, directly influencing client outcomes. Career Growth: Benefit from senior mentorship, dedicated training budgets, and clear growth pathways. Flexible Environment: Open to various flexible working arrangements to suit your lifestyle. Start up Culture: Contribute significantly to shaping our culture, processes, and technologies. Personal Branding: Encouraged and supported in building your public professional profile. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly - even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. We are currently not able to sponsor visas. Apply to work at Hypercube We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer.

Senior Software Engineer- Energy & Resources Analytics Platform London, United Kingdom We set out to build the world's most trusted consulting firm - creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector. You'll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk, or bring their purpose and sustainability goals to life. Our clients love how we get to know what makes their organisations tick - slotting seamlessly into their teams and being proudly geeky about solving their challenges. We have hubs in Europe, the US, Asia and Australia, and we work all around the world - from a wind farm in Wyoming to a boardroom in Berlin." Our Market, Advisory and Analytics practice are looking for experienced Senior Platform Software Engineers to join the team. Baringa are world leaders in modelling energy markets and using the insights these models provide to drive change in a decarbonising energy industry. We deal with highly varied modelling, data, and processing - everything from kilobytes of academic papers to terabytes of hourly scenario projections for 50+ years. Our staff come from diverse backgrounds, based across multiple geographies, and utilise a variety of technologies, tools and analytical modelling approaches. They need rapid access to data, analytics outputs, and processing through GUIs, APIs and other systems, whilst being given the confidence that everything is compliant, licenced and well-governed. Our scale and model complexity has now reached a point that to continue to achieve our business vision, we are building a dedicated global Platform team. We are looking for experienced software engineers to join as core members of this team to help architect, implement and support the tools that will be fundamental to Baringa's ongoing growth and success. This will be a high calibre team, where curiosity and a thirst to understand the problem space is not just encouraged, but prioritised. There will be a range of engineering challenges to solve at all levels, requiring the flexibility to adopt the right technology for a given problem space. Our next generation platform will be core to driving significant improvements to the lives and capabilities of our Baringa colleagues in the energy modelling space. Successful candidates will be given responsibility and freedom from day one, trusted to challenge and be challenged in turn, in an environment that rewards creativity and entrepreneurship as we build the foundations for Baringa's future. Come and join us to be part of the energy transition, the defining challenge of our lifetimes, where your technical skills and experience can have real impact. What you will be doing We are looking for an experienced software engineer to be a core member of the new Platform team, working closely with the Engineering Lead. You will be working within our Energy and Resources group to: Work closely with the Engineering Lead to engage tool developers, energy system modellers, client facing energy experts and users across the business to build a platform and supporting toolchain that fulfils the needs of your Baringa colleagues. Be a driving force in the development, automated testing and deployment of the new platform, utilising best-practices to ensure quality, reliability and monitoring is built-in from inception. Work with the team to build a DevOps pipeline with robust CI and CD practices, with a focus on evolving our processes to improve our team's engineering experience. Be an active part of the team's agile development approach, from refinement through to demonstration and feedback, helping drive the continuous improvement of team processes as we grow and mature. Your skills and experience We're looking for people to join the team who will be committed to designing and building high quality and fit-for-purpose systems, enabling our staff to maximise the creation, utilisation and management of the various models, tools and data frameworks that enable market-leading insights for our clients. You are passionate about building the 'right' solution to problems, and understanding the 'why' behind what you're building to support Baringa's work in the energy sector. You have practical experience as a senior engineer in highly motivated engineering team(s), collaborating closely with colleagues and taking pride in what you create. You are great at problem solving and see all technologies/engineering as a means to achieve this. You have advanced working knowledge of a general programming language (e.g. Scala, Python, Java, C# etc.) and understand both domain modelling and application programming. You have working knowledge of data management platforms (SQL, NoSQL, Spark/Databricks etc.) You have working knowledge of modern software engineering tools (Git, CI/CD pipelines), cloud technologies (Azure, AWS) and IaC (e.g. Terraform, Pulumi) You have worked with different frameworks throughout technology stacks (e.g. React/Angular/Vue/Blazor frontends etc., FastAPI/Spring Boot/Django/.NET backends etc.) You have experience building and working across different architectural approaches, and are confident in justifying your technology and architectural choices. You are passionate about communicating complex concepts succinctly to both technical and non-technical colleagues and clients to reach a common understanding. You have experience working with agile methodologies (e.g. Scrum/Kanban), with an understanding of the key principles that underpin its effective use. We've seen the research that says that some candidates will not apply to a role if they don't meet every requirement, so don't let this put you off. If you think you are a good overall match please do get in touch - we look carefully at all applications and you may well be our ideal candidate. What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the 'ideal' work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We've introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company's success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. You can be a part of our 'Great Place to Work' - with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we've achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process . click apply for full job details

Hi, we're Smoove, part of the PEXA Group. Our vision is to simplify and revolutionise the home moving and ownership experience for everyone. We are on a mission to deliver products and services that remove the pain, frustration, uncertainty, frictionand stress that the current process creates. We are a leading provider of tech in the property sector - founded in 2003, our product focus has been our conveyancer two sided marketplace, connecting consumers with a range of quality conveyancers to choose from at competitive prices via our easy to use tech platform. We are now building out our ecosystem so consumers can benefit from our services either via their Estate Agent or their Mortgage Broker, through smarter conveyancing platforms, making the home buying or selling process easier, quicker, safer and more transparent. Why join Smoove? Great question! We pride ourselves on attracting, developing and retaining a diverse range of people in an equally diverse range of roles and specialisms - who together achieve outstanding results. Our transparent approach and open door policy make Smoove a great place to work and as our business expands, we are looking for ambitious, talented people to join us. We are seeking an experienced Principal Data Engineer to define, lead, and scale the technical strategy of our data platform. This is a senior, hands on leadership role at the intersection of architecture, governance, and engineering excellence, where you will shape how data is collected, processed, and delivered across the organisation. You will own the end to end quality, performance, and scalability of our data systems - from raw ingestion through to trusted datasets powering business critical analytics and reporting. This includes setting standards and influencing the strategic roadmap for data infrastructure. Our stack is built on both AWS and Azure, using Databricks across data domains and you will lead the evolution of this ecosystem to meet future business needs. You'll ensure that data is secure, compliant, discoverable, and business ready, enabling analysts, data scientists, and stakeholders to make confident, data driven decisions. This role is ideal for a highly technical leader who thrives at both the strategic and execution levels: someone equally comfortable defining architecture with executives, mentoring senior engineers, and optimising distributed pipelines at scale. Role Responsibilities Design and oversee scalable, performant, and secure architectures on Databricks and distributed systems. Anticipate scaling challenges and ensure platforms are future proof. Lead the design and development of robust, high performance data pipelines using PySpark and Databricks. Define and ensure testing frameworks for data workflows. Ensure end to end data quality from raw ingestion to curated, trusted datasets powering analytics. Establish and enforce best practices for data governance, lineage, metadata, and security controls. Ensure compliance with GDPR and other regulatory frameworks. Act as a technical authority and mentor, guiding data engineers. Influence cross functional teams to align on data strategy, standards, and practices. Partner with product, engineering, and business leaders to prioritise and deliver high impact data initiatives. Build a culture of data trust, ensuring downstream analytics and reporting are always accurate and consistent. Evaluate and recommend emerging technologies where they add value to the ecosystem. Skills & Experience Required Broad experience as a Data Engineer including technical leadership. Broad cloud experience, ideally both Azure and AWS. Deep expertise in PySpark and distributed data processing at scale. Extensive experience designing and optimising in Databricks. Advanced SQL optimisation and schema design for analytical workloads. Strong understanding of data security, privacy, and GDPR/PII compliance. Experience implementing and leading data governance frameworks. Proven experience leading the design and operation of a complex data platform. Track record of mentoring engineers and raising technical standards. Ability to influence senior stakeholders and align data initiatives with wider business goals. Strategic mindset with a holistic view of data reliability, scalability, and business value. £80,000 - £100,000 a year Sound like you? We at Smoove are ready so if this role sounds like you, apply today.

Select how often (in days) to receive an alert: (INV) Senior Consultant, AI Engineer, AI&Data, UKI Northern Ireland Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Location : Belfast or Derry/Londonderry Position Overview We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply chain planning, and commercial transformation, leveraging modern cloud-based AI platforms. Develop, and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains Build and fine tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue Translate business requirements into technical AI/ML features, model selection, architecture decisions Conduct exploratory data analysis and communicate insights Collaborate with data engineers, architects, and business analysts on integrated solutions Build feature engineering pipelines and automated data preparation workflows Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms Contribute to proposals and technical assessments for new opportunities and internal knowledge transfer Essential Qualifications Degree or equivalent certification in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field Proven experience building and implementing LLM-based solutions (GPT, Claude, Llama, Mistral, or similar) Hands on experience with at least one of: Databricks (MLflow, AutoML), Azure Machine Learning, or Snowflake (Snowpark ML, Cortex) Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (scikit learn, pandas, NumPy, XGBoost, LightGBM) Strong analytical and problem solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements Story telling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Desired Criteria Experience or knowledge covering at least one of the following areas: Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load forecasting, grid optimization, demand response, renewable energy prediction Predictive Maintenance: Equipment failure prediction, anomaly detection, remaining useful life estimation Supply Chain Planning: Demand forecasting, inventory optimization, logistics planning, procurement analytics Commercial Transformation: Price optimization, customer lifetime value, churn prediction, marketing mix modelling Preferred Qualifications Certifications such as: Azure AI Engineer Associate or Data Scientist Associate EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

Senior Data Analytics Consultant (London) About Us Abylon Consulting is a rapidly growing and innovative IT solutions provider with a strong focus on delivering advanced BI solutions and consulting services. We specialize in Microsoft and Azure data analytics and BI products, which form the foundation of many of our solutions. Our dynamic growth is recognized internationally: Abylon Consulting has been featured on the Financial Times' annual list of Europe's 1000 fastest-growing companies for three consecutive years (2024 ,2023 ,2022 ) and was also included in theDeloitte Technology Fast 50 ranking in 2022. Building on our proven track record of success in Hungary, we expanded our expertise and solutions to the UK market, establishing a subsidiary and opening our London office in March 2024. The Role We are looking for a highly skilled and business-savvy Data Analytics Consultant based in London. This role is ideal for someone who thrives at the intersection of data visualization, user experience, and strategic consulting. The successful candidate will not only be an expert Power BI developer but also a trusted advisor, someone who can guide clients, translate business needs into impactful solutions, and help shape the future of data-driven decision-making. Key Responsibilities Develop advanced Power BI dashboards and reports with strong business impact. Translate business requirements into technical specifications and data models. Deliver scalable reporting solutions using Power BI Embedded. Collaborate with backend engineers on seamless data integration. Present insights and solutions to stakeholders with clarity. Support CI/CD, DevOps practices, and financial reporting initiatives. Act as a consultant, advising on best practices, optimization, and business value. Required Skills & Qualifications Expert proficiency in Power BI (DAX, Power Query, advanced visualization). Strong knowledge of Power BI Embedded, licensing, and integration. Solid understanding of data pipelines and modern data architectures. Excellent communication and client-facing presentation skills. Proven ability to turn business needs into effective technical solutions. SQL proficiency and experience with Azure/DevOps tools. Background in business or financial data analysis is a plus. Consulting mindset: proactive, strategic, and impact-oriented. Nice to Have Experience with Databricks, Azure Data Factory, or Python. Previous experience in BI service delivery or engagement management. Why Join Us? Dedicated time for learning, paid certifications: We encourage continuous development by providing dedicated learning hours. Are you interested in the latest technologies or certifications? We cover the full cost. Flexible working hours: We trust you to manage your time in a way that suits your productivity and personal life. Hybrid work model: Work remotely with only one required office day per week, offering the best of both worlds. Knowledge sharing & collaboration: Join regular skill-sharing sessions and knowledge circles to exchange ideas and grow together as a team. Annual performance bonus: Your contributions are recognized and rewarded with a yearly bonus. How to Apply? If you feel like you would like to join us based on the description, all you have to do is send your CV to our email address: If you would like to find out more about us, visit our About us page or our LinkedIn page . For more information on Abylon and other open positions follow our social media channels!

Our Principal Data Engineers are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and subject matter expertise, excellent leadership and a clear vision of lasting and effective change in a public sector environment. We expect our Principal Data Engineers to bring all of that and enthuse our delivery teams with the same passion. The successful candidate will lead the Data Engineering aspects of our client engagements while overseeing the wider delivery within the account (or industry) when appropriate. They will coach and develop team members on their engagements providing them with detailed performance feedback, as well as monitoring overall delivery to achieve the highest levels of client satisfaction. In addition, our Principal Data Engineers are responsible for engaging with our clients to understand their challenges and build lasting, trusted advisor relationships. They will also oversee multiple, concurrent client deliveries to help ensure quality and drive the sharing of best practice across our engagements and industries. Key responsibilities Our Principal Data Engineers are members of the Data & AI Practice leadership team with the responsibility to develop the capability of the practice to meet business needs and to accelerate the growth of the practice, their account and the wider business. You will be responsible for the practice and service line-specific delivery elements of your engagement/account as well as a shared ownership for the overall delivery of client outcomes. You will leverage your client and delivery insight to support the account and industry teams to identify opportunities and develop client solutions. The right person for this role will do this by combining their technical discipline/craft experience, leadership skills and industry network with Made Tech's unparalleled experience of delivering digital services and digital transformation for the Public Sector. Responsibilities Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events Skills, knowledge and expertise Clients Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients Experience building trusted advisor relationships with senior client stakeholders within the public sector. Leadership Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients. Practice Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity Experience of working with sales professionals and commercial responsibility for strategic organisational goals. While this is not a hands-on coding technical role, the importance of credibility in approach to digital, data and technology in the public sector cannot be understated. You will be expected to maintain a broad technical knowledge of modern data practices, be able to shape data strategy and roadmaps, and hold others to account for technical quality. Experience working directly with customers and users within a technology consultancy Expertise in shaping data strategy and approaches to quality, ethics and governance. Experience in developing a data capability or function Combining data science, analytics and engineering Strong understanding of various architectures including data warehouses, data lakes, data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL Up-to-date understanding of cloud platforms including AWS and/or Azure and their data offerings Evidence of self-development - we value keen learners Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ️ 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Our hiring process is designed to be thorough, transparent, and supportive, guiding candidates through each step. The exact process may vary slightly depending on the role but these are the typical steps candidates can expect. We'll keep you updated throughout the process and provide helpful feedback at each stage. No matter the outcome, we make sure the feedback is useful and supportive, so you feel informed and can learn from the experience. Register your interest to be notified of any roles that come along that meet your criteria.

Senior Databricks Engineer - Banbury Hybrid - Salary £65-75K + Benefits Bibby Financial Services have an exciting opportunity available for a reliableSenior Databricks Engineer to join our team. You will join us on afull time, permanent basis and in return, you will receive a competitive salary of £65,000 - £75,000 per annum. About the role: As ourSenior Databricks Engineer, you will operate within an Agile delivery environment, working closely with the Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from our wide-ranging dataset to support executive and operational decision making that will underpin sustained growth of BFS business units domestically and internationally. You will have an active leadership role in determining and developing the shape of your teams solution delivery against business requirements, as well as helping to inform and input into the wider technical architecture and strategy. This is very much a hands on role, where the majority of your time will be spent actively developing solutions. You will also have management responsibilities for a small team of Data Engineers, who you will coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business / product strategy and supporting goals with the purpose of ensuring data interpretation aligns Provide technical leadership on how to break down initiatives into appropriately sized features, epics and stories that balance value and risk. Take a leadership role on setting standards, driving quality and consistency in solution delivery Work closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques Collaborate with the BI Product Owner, analysts, and other business stakeholders to understand data requirements and deliver solutions that meet business needs Optimize and tune data processing systems for performance, reliability, and scalability Implement data quality and validation processes to ensure the accuracy and integrity of data throughout the pipelines Operate an agile CI/CD environment within Azure DevOps, collaborating on Sprint cycles, code deployment, version control, and development practices Develop and maintain data models, schemas, and documentation Monitor and troubleshoot data pipeline issues, ensuring timely resolution Stay up-to-date with the latest industry trends and technologies in data engineering and recommend improvements to existing systems or processes as appropriate Ensure adherence to BFS Governance processes Provide line management and technical leadership to a small team of Data Engineers Work closely with the Data Architect to collaborate on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What we are looking for in our ideal Senior Databricks Engineer: Significant years of Databricks experience, including Unity Catalog Terraform, defining, deploying, and managing cloud infrastructure as code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent problem solving skills and attention to detail Inclusive and curious, continuously seeks to build knowledge and understanding Strong communication and collaboration skills. Experience of Waterfall and Agile delivery methodologies As our Senior Databricks Engineer, we will reward you and your hard work with: Private healthcare for you and your family Company car allowance Company pension scheme Wide range of flexible benefits, such as gym membership, technology, or health assessments Access to an online wellbeing centre Range of discounts from many businesses 25 days holiday, which increases with servic,e and options to buy or sell more Electric Vehicle/Plug-in Hybrid Vehicle (EV/PHEV) scheme Why us? We've supported small and medium size enterprises (SMEs) since 1982, and today we support more than 9000 businesses worldwide. We are proud to help businesses, both big and small to grow and thrive in domestic and international markets. We're in the business of relationships. Whether working together or supporting our clients, that's what makes us stand out from the crowd. We know our value lies in our brilliant people, It is fast paced and varied, and we can handle it. We trust each other, take ownership, work flexibly, have fun and deliver for our clients every time. We empower our colleagues to be themselves and grow in the way they want - we believe in them and celebrate their success. There's no place quite like BFS and we're proud of that. It's all down to our colleagues - they make us the business with which every SME wants to partner. If you would like to join us, please click'Apply' today to be considered as our Senior Databricks Engineer- we would love to hear from you! This role will be hybrid and can be based in any of our UK offices. We're absolutely committed to being a truly inclusive place to work, where everyone has an equal opportunity to reach their true potential. Let us know if you need adjustments to support you through any stage of the recruitment process. We reserve the right to close applications early. No agencies, please.

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data from sources such as Social, Reviews, Search, and broader marketing and sales data. These reveal fresh insights for our clients; helping them to build better products and brands, to deliver effective marketing to consumers. Our software, machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation and front-end platforms Software Engineering: full stack expertise to build, maintain and support internal and externally facing Software & Data as a Service solutions, in AWS, that accelerate delivery and unlock deeper insights for our clients As a start-up, we can move faster than most companies and do things differently. We have experienced rapid growth so far and we're looking for a Junior Data Engineer to join our growing team. ABOUT THE ROLE You will play a crucial role in designing, building and productionising innovative data pipelines, in the cloud, from scratch. You'll work on a mix of small analytics proof of concepts and larger projects, both of which push the boundaries of what we can do with data; finding and using novel data sources and APIs, and enriching them with leading analytics, data science and AI methods. Your role will be twofold. You'll be working directly with our London-based client-base, as well as helping to shape the future of our fast-growing start-up. We'll let you challenge yourself, from your core of data engineering to support our data science and dashboard visualisation work, to grow your cloud architecture and engineering knowledge, and to understand the business and strategic impact of your great engineering work - to whatever extent suits you. WHAT YOU'LL BE DOING Build innovative data solutions Support the development and rollout of an industry-first global analytics programme Develop and deploy automated code pipelines, from data acquisition through cleaning and preparing data for modelling, through to visualisation Help to productionise machine learning models Work closely with a great programme team - project lead, data scientists and analysts - and interface with client technology counterparts Identify ways to improve data reliability, processing efficiency and quality of our data output Deploy pipelines in cloud environments and develop as a cloud technologist, as our world becomes increasingly reliant on cloud technologies Produce detailed documentation and champion code quality Interrogate rich data sources such as social, search, surveys, reviews, clickstream, sales, connected devices and beyond Identify and explore opportunities to acquire new data sources that deliver innovative perspectives to our clients WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Strong Python and other programming skills (Java and/or Scala desirable) Strong SQL background Some exposure to big data technologies (Hadoop, spark, presto, etc.) NICE TO HAVES OR EXCITED TO LEARN: Some experience designing, building and maintaining SQL databases (and/or NoSQL) Some experience with designing efficient physical data models/schemas and developing ETL/ELT scripts Some experience developing data solutions in cloud environments such as Azure, AWS or GCP - Azure Databricks experience a bonus 30 minute video interview with the People & Operations Team 45 minute technical video interview with one of our Senior Data Engineers Final interview with our Partner, Head of Technology Get to know Curve's journey and meet some of the minds fuelling our passion

Job Sector: TransportInfrastructureDefenceEnergyCross Sector At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity - We do the right thing, always. Drive - We push boundaries and strive for excellence. Empathy - We care deeply about our people and clients. Adaptability - We embrace change and thrive in it. Loyalty - We stand by each other and our mission. Job Summary About the Role: Movar is seeking a Senior Data Analyst with strong analytical skills and a builder's mindset. You will transform raw data into insights that inform strategic decisions across major infrastructure projects in rail, water, nuclear, and defence. Working closely with our Data Engineering and AI teams, you will translate complex datasets into clear business value and help clients modernise their operations through data-driven decision making. Core Responsibilities Design and maintain Power BI dashboards and interactive visualisations for enterprise clients. Extract, clean, and model data using Azure Data Factory, Databricks, and SQL Server. Collaborate with engineering and innovation teams to define KPIs, automate reporting, and enhance data quality. Support the integration of AI-powered insights, including predictive analytics and natural language summaries. Engage directly with clients to understand requirements and deliver clear, actionable outputs. Mentor junior team members and contribute to capability development. Technical Stack Core: Python (Pandas, NumPy) Advanced Excel Azure Logic Apps AI integration for BI (Copilot, GPT-based summarisation) What You'll Bring Professional experience in data analytics or business intelligence. Strong communication and storytelling skills, with the ability to translate data into meaningful narratives. Proficiency in Microsoft's data ecosystem and an eagerness to explore Azure Fabric, AI-driven analytics, and emerging Copilot tools. Demonstrated ability to work independently and lead analytical workstreams. A mindset that reflects Movar's IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB

Do you want to work to make Power for Good? We're the world's largest independent renewable energy company. We're driven by a simple yet powerful vision: to create a future where everyone has access to affordable, zero carbon energy. We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them. RES is a family with a diverse workforce, and we are dedicated to the personal professional growth of our people, no matter what stage of their career they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally. Our competitive package offers rewards and benefits including pension schemes, flexible working, and top-down emphasis on better work-life balance. We also offer private healthcare, discounted green travel, 25 days holiday with options to buy/sell days, enhanced family leave and four volunteering days per year so you can make a difference somewhere else. The Position We are looking for a Senior Data Engineer with advanced expertise in Databricks to lead the development of scalable data solutions across in our asset performance management software, within our Digital Solutions business. This role involves architecting complex data pipelines, mentoring junior engineers, and driving best practices in data engineering and cloud analytics. You will play a key role in shaping our data strategy which is the backbone of our software and enabling high-impact analytics and machine learning initiatives. Accountabilities Design and implement scalable, high-performance data pipelines. Work with the lead cloud architect on the design of data lakehouse solutions leveraging Delta Lake and Unity Catalog. Collaborate with cross-functional teams to define data requirements, governance standards, and integration strategies. Champion data quality, lineage, and observability through automated testing, monitoring, and documentation. Mentoring and guidance of junior data engineers. Using you passion for data engineering to foster a culture of technical excellence and continuous learning. Driving the adoption of CI/CD and DevOps practices for data engineering workflows. Stay ahead of emerging technologies and Databricks platform updates, evaluating their relevance and impact. Knowledge Deep understanding of distributed data processing, data lakehouse architecture, and cloud-native data platforms. Optimization of data workflows for performance, reliability, and cost-efficiency on cloud platforms (particularly Azure but experience with AWS and/or GCP would be beneficial). Strong knowledge of data modelling, warehousing, and governance principles. Knowledge of data privacy and compliance standards (e.g., GDPR, HIPAA). Understanding of OLTP and OLAP and what scenarios to deploy them in. Understanding of incremental processing patterns. Skills Strong proficiency in Python and SQL. Experience of working with Scala would be beneficial. Proven ability to design and optimize large-scale ETL/ELT pipelines. Building and managing orchestrations. Excellent oral and written communication, both within the team and with our stakeholders. Experience 5+ years of experience in data engineering, with at least 2 years working extensively with Databricks and orchestrated pipelines" such as DBT, DLT, or workflows using jobs. Experience with Delta Lake and Unity Catalog in production environments. Experience with CI/CD tools and version control systems (e.g., Git, GitHub Actions, Azure DevOps , Databricks Asset Bundles). Experience with real-time data processing, both batch and streaming. Experience of working on machine learning workflows and integration with data pipelines. Experience leading data engineering projects with distributed teams, ideally in a cross functional environment. Qualifications Databricks Certified Data Engineer Professional or equivalent certification. At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.

Senior Databricks Data Engineer (DPP) London Based (Hybrid) 6 months initial contract + ext Outside IR35 We're looking for a Senior Databricks Data Engineer who has DPP Status (Databricks Partner Program). You'll design and build scalable data platforms, develop pipelines, and help deliver high-performance analytics solutions across cloud environments. Key Responsibilities Develop and optimise data pipelines and lakehouse solutions using Databricks. Work across AWS, Azure, or GCP environments. Implement best practices in data engineering, CI/CD, and testing. Collaborate with partner and client teams on solution design and delivery. Mentor junior engineers and contribute to reusable frameworks and accelerators. Skills & Experience Strong hands-on experience with Databricks, Python, SQL, and PySpark. Solid understanding of Delta Lake, Unity Catalog, and MLflow. Experience with DevOps tools (Git, CI/CD, IaC). Excellent communication and stakeholder skills. Databricks certification and partner or consulting experience are a plus About Korn Ferry Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at