276 to 300 of 1,240 Permanent Data Engineering Jobs

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth … to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. Working on asset … revenue forecasting, power dispatch modelling, or power markets data, the analyst will focus on automating workflows, ensuring data quality, and delivering actionable insights through close collaboration with research, engineering, and product teams. This role contributes directly to improving forecasting accuracy and enhancing the company's global asset performance and revenue strategies. Responsibilities Knowledge Structures poorly defined problems More ❯

Job Description: Your Impact As a Software Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the data operations infrastructure, manage and optimise performance, reliability, and scalability of the system to meeting growing demands on ingestion and processing pipelines. To … succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. Key areas of responsibility. Orchestration ingestion and storage of raw data into structured or unstructured solutions. Design, Develop, Deploy and Support data infrastructure, pipelines and architecture. Implement reliable, scalable, and tested solutions to automate data ingestion. Development of systems to manage batch processing and real-time streaming of data Evaluate business needs and objectives. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Combine raw information from More ❯

Job Title: Data Engineer - Azure Local Government Inside IR35 Location: Central London (Hybrid - 1-2 days on-site per week) Rate: £500/day (Inside IR35) Contract: 6 months (initial) Start: ASAP/on notice Salt's Public Sector team is proud to be partnered with a forward-thinking Local Government organisation in Central London, currently delivering a large … scale corporate data programme. We're seeking an experienced Data Engineer with a strong background in Microsoft Azure and Power BI to play a key role in leading the council's Modern Data Platform and supporting improved data-driven decision-making across services. The Role: As a Data Engineer, you'll be embedded within the … Technology and Digital Services function and take ownership of the core Azure data stack used to deliver reporting and insight across the organisation. Working closely with stakeholders across council departments-as well as external partners like the NHS and voluntary sector-you'll lead the integration of datasets, development of data pipelines, and optimisation of Power BI-based More ❯

A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in … order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data … cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client More ❯

A small and rapidly growing Consultancy are looking for a Lead Data Scientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC Clearance in … order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and implementing various data … cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would be well-suited to someone who has experience (or is keen to get experience) in a client More ❯

ecosystem. Notabene is growing fast-and we're looking for people like you to help shape the future rails of the crypto industry! About The Role As a Lead Data Engineer at Notabene , you'll play a pivotal role in shaping how crypto transactions are settled globally. You'll collaborate with stakeholders across all levels of the business, turning … their BI requirements into accessible, accurate, real-time reporting. You will maintain and continuously improve Notabene's org-wide data management and analytics. In this role, you'll be responsible for building and maintaining our data pipelines, scaling our data warehouse architecture, and ensuring data insights are optimized and scalable across the organization. You'll also … be instrumental in driving forward a data-driven culture at Notabene and training/upskilling power-users across the organization. You'll be working closely with key stakeholders across the business to understand their BI/reporting needs and will enable providing insights to inform strategic decisions both at the Board/Executive level and at the business unit More ❯

IN Data Engineering & Analytics(IDEA) Team is looking to hire a rock star Data Engineer to build and manage the largest petabyte-scale data infrastructure in India for Amazon India businesses. IN Data Engineering & Analytics (IDEA) team is the central Data engineering and Analytics team for all A.in businesses. The team's … charter includes 1) Providing Unified Data and Analytics Infrastructure (UDAI) for all A.in teams which includes central Petabyte-scale Redshift data warehouse, analytics infrastructure and frameworks for visualizing and automating generation of reports & insights and self-service data applications for ingesting, storing, discovering, processing & querying of the data 2) Providing business specific data solutions for … various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in being a strong owner of our Data Platform. He/she will own and build data pipelines, automations and solutions to ensure the availability, system efficiency, IMR efficiency, scaling, expansion, operations and compliance of the data platform that More ❯

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 … 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 More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer … retention rates, and drive operating efficiencies across the business. The primary goals of the team are: To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets To … create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data More ❯

About Apexon: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team. This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context—from … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

project initiatives and activities. Demonstrates an understanding of users' needs and effectively participates in the development and implementation of business solutions. Required Qualifications: Master's degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Alternatively, a Bachelor of Science plus Master in Business Administration is acceptable. 8+ years of hands-on experience in software … engineering, DevOps, data science, IT and/or other relevant engineering domains 5+ years of successful Project Management experience in leading and managing devops/platform teams in a technology-driven company Expert understanding and knowledge of DevOps & SRE practices and Agile methodologies. Solid experience deploying SaaS solutions in multi-cloud (AWS, Azure, and/or GCP … teams effectively. Solid organizational and time-management skills, coupled with a keen eye for detail. Exceptional communication with a perfect command of English. Preferred Qualifications: PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience designing and deploying Infrastructure to support machine learning and data analytics solutions. Experience in data engineering More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate … the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: You will have the opportunity to work with a tremendous services, engineering, product, and sales … for self-improvement and possess great communication skills. Our customers' use cases extend across all the Elastic Solutions: Enterprise Search, Observability and Security, and beyond, and the scale of data in their environments ranges from gigabytes to petabytes. This diverse mix of a customer base means the challenges they face that Elastic consultants help them with can often require More ❯

to join our dynamic team. As a Solus Business Intelligence Developer, you will play a pivotal part in designing, developing, and maintaining end-to-end analytics solutions that enable data-driven decision-making across our organisation. If you have a passion for solving complex problems through innovative data solutions, this opportunity is for you. Responsibilities Extract, transform and … load data (ETL). Build and maintain relational data models. Develop and maintain reports with clear narratives. Adhere to the team's governance framework. Continuously monitor and optimise data workflows and reporting solutions for maximum efficiency. Championing a DevOps mindset when working with cross-functional teams and business stakeholders. Manage and prioritise your workload effectively while delivering … problems independently and propose creative solutions. Stay current with industry trends and best practices in Business Intelligence & analytics. You will work with the following tools and platforms: Microsoft Fabric (Data Factory, Data Engineering, Real-Time Intelligence, Power BI) Azure Services (DevOps, Data Factory, Logic Apps, Storage, SQL Server) Qualifications Desired qualifications and experience: Experience with Programming More ❯

Senior Data Engineering Consultant This leading boutique Data & Insights Consultancy are going from strength to strength and are seeking a Senior Data Engineering Consultant to join their high-performing team. This is a fantastic opportunity to apply your strong hands-on data engineering skills across a wide variety of challenging projects, and deliver … value-adding data and analytics solutions that make a true business impact. Role & Responsibilities This Data & Insights practice is made up of some of the most competent and highly skilled data professionals in the market, and you will get the opportunity to work with and learn from some of the best. As a Senior Data Engineering Consultant you will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups. You will get to work on and lead exciting and complex projects that vary in size and complexity, and you More ❯

Senior Data Engineering Consultant This leading boutique Data & Insights Consultancy are going from strength to strength and are seeking a Senior Data Engineering Consultant to join their high-performing team. This is a fantastic opportunity to apply your strong hands-on data engineering skills across a wide variety of challenging projects, and deliver … value-adding data and analytics solutions that make a true business impact. Role & Responsibilities This Data & Insights practice is made up of some of the most competent and highly skilled data professionals in the market, and you will get the opportunity to work with and learn from some of the best. As a Senior Data Engineering Consultant you will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups. You will get to work on and lead exciting and complex projects that vary in size and complexity, and you More ❯

Data Engineering Manager (GCP House) | Fully Remote | up to £130,000 basic +15 % Bonus My client is a global leader in turning Market Research into actionable insights. Their UK division is a buzzing hub of around 70 talented professionals – Data Engineers, Data Scientists, Product Owners, and Managers – all passionate about pushing the boundaries of what’s … possible with data, AI, and cloud-native platforms. They’re not just building data pipelines – they’re building the future of advertising using modern technologies like Google Cloud Platform (GCP), real-time streaming, and machine learning. They believe in a collaborative, supportive environment where everyone has a voice and the best ideas win. A lot of what they … do involves cutting-edge AI/ML workflows, so if that’s your thing, even better! About the Role I’m looking for a Data Engineering Manager to lead an exceptional team of around 30 Data Engineers. This is more than just a management role – it's about mentoring, inspiring, and empowering a team of cloud-savvy More ❯

You will be joining the Data Science and Engineering team to help get the most value out of our real-time data streams with a focus on elevating business decisions and ensuring genuine fans have the best opportunity to buy tickets. THE JOB We are seeking a skilled Data Engineering Manager to join and lead … our growing Data Engineering team and play a critical role in developing and maintaining our data infrastructure. As a member of the Data Science and Engineering leadership team, you will be key in driving the technical strategy and vision for data infrastructure, ensuring alignment with business objectives, and overseeing the delivery of complex data-related projects. The ideal candidate will have a deep understanding of data platforms and tools, as well as experience designing and implementing data pipelines and ETL processes. WHAT YOU WILL BE DOING Lead the Data Engineering team in delivering high-quality data solutions that meet business needs Collaborate with cross-functional teams, including Data More ❯

Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems … If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to … end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. Data Engineering • Develop, maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to More ❯

Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data and AI systems … If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. • Build and maintain end-to … end ML pipelines, including data preprocessing, model training, deployment, and monitoring. • Work closely with cross-functional teams to integrate ML models into our SaaS platform for PAI and OSINT investigations. Data Engineering • Develop, maintain, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of data. • Ensure data quality, consistency, and availability to More ❯

Opportunity to work on a major Data Transformation Programme Opportunity to join a rapidly growing organization About Our Client A rapidly expanding manufacturer and retailer. Job Description We are seeking a Data Engineering Lead/Data Architect to support the ongoing development of our Data Strategy and roadmap, focusing on leveraging advanced analytics and insights … to drive commercial growth. You will play a pivotal role, leading a small team of Data Engineers and BI Developers in our Cloud transformation. Knowledge of Data Architecture is highly desirable; however, a Senior Data Engineer eager to transition into this domain will also be considered. Key Responsibilities: Oversee and lead the design and implementation of ETL …/ELT processes to ingest data from the new ERP system into Snowflake. Architect and develop the Snowflake data warehouse to support reporting and analytics, incorporating existing SQL Server-based business logic, while optimizing for performance, scalability, and usability. Collaborate closely with business users to understand, qualify, design, build, test, and deliver their requirements. Coordinate with third-party More ❯

Lead Data Engineer | London hybrid | Insurance The Opportunity Are you passionate about building cutting-edge data platforms that drive business growth? Our client who is a prominent London Market insurer is looking for a skilled and motivated Lead Data Engineer to play a key role in the creation of a brand-new data platform within the … Azure ecosystem and Databricks. This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer. You’ll help shape the data strategy, improve data quality, and empower the business to make data-driven decisions. As a Lead Data Engineer, you'll work closely with both technical and business stakeholders, leveraging your expertise to design, develop, and optimize a high-performance data platform built on Databricks. This platform will be built to scale, incorporating the latest advancements in data intelligence while supporting strategic business objectives. Key Responsibilities Build & Develop – Design and maintain a robust Databricks Data More ❯

Lead Data Engineer | London hybrid | Insurance The Opportunity Are you passionate about building cutting-edge data platforms that drive business growth? Our client who is a prominent London Market insurer is looking for a skilled and motivated Lead Data Engineer to play a key role in the creation of a brand-new data platform within the … Azure ecosystem and Databricks. This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer. You’ll help shape the data strategy, improve data quality, and empower the business to make data-driven decisions. As a Lead Data Engineer, you'll work closely with both technical and business stakeholders, leveraging your expertise to design, develop, and optimize a high-performance data platform built on Databricks. This platform will be built to scale, incorporating the latest advancements in data intelligence while supporting strategic business objectives. Key Responsibilities Build & Develop – Design and maintain a robust Databricks Data More ❯

Senior/Lead Data Engineer (Edinburgh) Our Client is looking for a technical and strategic Data Engineer to take ownership of data engineering practices within a Data & AI team. You’ll play a central role in shaping modern data platforms, building production-grade AI solutions, and embedding best practices in data and AI … engineering. Key Responsibilities: Lead the design and delivery of scalable data architectures and pipelines to meet analytics and AI needs. Champion automation-first engineering practices across ingestion, transformation, and deployment. Design and deploy generative and predictive AI solutions using Azure and open-source frameworks. Implement modern DataOps and MLOps practices, including CI/CD pipelines and monitoring. Establish … and maintain reusable enterprise data models and semantic layers for self-service analytics. Mentor and develop a high-performing engineering team. Collaborate with stakeholders to embed insight and AI in product delivery and business decision-making. About You: Deep expertise in data engineering, data pipelines, and semantic models. Hands-on experience building data platforms More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits within … the organisation’s Wholesale Market Services and Trading division, a key area focused on enabling smarter, data-driven decision-making in fast-paced energy markets. You’ll play a pivotal role in designing and delivering complex, cloud-native data solutions that support trading operations, risk management, market forecasting, and AI-led optimisation initiatives. Key Responsibilities Design, build, and … maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering More ❯

Job Title: Data Engineer (with AI Engineering Experience) Location: Hybrid (UK-based) Outside IR35 Contract role - 6 months rolling Industry: Energy/Wholesale Markets & Trading We’re looking for a skilled Data Engineer with Artificial Intelligence (AI) experience to join a cutting-edge team within one of the UK’s leading energy companies. This role sits within … the organisation’s Wholesale Market Services and Trading division, a key area focused on enabling smarter, data-driven decision-making in fast-paced energy markets. You’ll play a pivotal role in designing and delivering complex, cloud-native data solutions that support trading operations, risk management, market forecasting, and AI-led optimisation initiatives. Key Responsibilities Design, build, and … maintain robust data pipelines and cloud-based infrastructure to support large-scale data processing and analytics workloads. Collaborate with data scientists and AI engineers to productionise machine learning models and support intelligent automation solutions. Contribute to the development and enhancement of the enterprise data platform with scalable, high-quality data assets. Champion data engineering More ❯