726 to 750 of 1,011 Data Engineering Jobs in the UK

Data Scientist – B2B SaaS (Price Optimisation for Retail Banks) A fast-growing, profitable B2B SaaS company is looking for an ambitious Data Scientist to help advance its price optimisation platform used by major retail banks. Their software guides mortgage and savings pricing decisions, delivering millions in additional revenue for clients. With a strong UK & Ireland client base and … company is bootstrapped (no VC or angel investment) and is already very profitable. The Role You’ll play a key part in improving and building machine learning models and data pipelines that power the platform. This is a hands-on, proactive role focused on continuous improvement across modelling, automation, and client-facing insights. You will work on: Enhancing ML … pipelines: validation, classification, clustering, predictive models, neural networks, optimisation. Automating and streamlining data refresh processes. Producing client presentations and providing pricing insights. R&D on new modelling and optimisation approaches. Supporting business development and pitch materials. What You’ll Bring Degree in a STEM field (Maths, CS, Engineering). Experience in data science or consulting. Strong Python More ❯

Senior Data Engineer - AWS - London - £70,000 - £85,000 To be considered for this role, you must be SC cleared or eligible to obtain SC clearance. My client are seeking a Senior AWS Data Engineer to join an agile engineering team with the focus of delivering cloud-based data solutions for clients in the financial services … days in London office) 25 days annual leave plus bank holidays Performance-related bonus Private medical care And many more Role and Responsibilities Develop and maintain AWS-based data pipelines using Python, PySpark, Spark SQL, AWS Glue, Step Functions, Lambda, EMR, and Redshift. Design, implement, and optimise data architecture for scalability, performance, and security. Work closely with business … technical stakeholders to understand requirements and translate them into robust solutions. Apply best practices for cloud security, governance, and cost management. Implement and maintain CI/CD pipelines for data engineering workflows within AWS. Document and maintain architecture, pipelines, and best practices for long-term maintainability. Contribute to planning, progress reporting, and delivery of project milestones. Engage in More ❯

Senior Data Engineer - AWS - London - £70,000 - £85,000 To be considered for this role, you must be SC cleared or eligible to obtain SC clearance. My client are seeking a Senior AWS Data Engineer to join an agile engineering team with the focus of delivering cloud-based data solutions for clients in the financial services … days in London office) 25 days annual leave plus bank holidays Performance-related bonus Private medical care And many more Role and Responsibilities Develop and maintain AWS-based data pipelines using Python, PySpark, Spark SQL, AWS Glue, Step Functions, Lambda, EMR, and Redshift. Design, implement, and optimise data architecture for scalability, performance, and security. Work closely with business … technical stakeholders to understand requirements and translate them into robust solutions. Apply best practices for cloud security, governance, and cost management. Implement and maintain CI/CD pipelines for data engineering workflows within AWS. Document and maintain architecture, pipelines, and best practices for long-term maintainability. Contribute to planning, progress reporting, and delivery of project milestones. Engage in More ❯

Data Engineer - Fabric £450/day outside IR35 6-month contract London-based - hybrid working Working with a FTSE 250 organisation who are looking for a Fabric Data/BI Engineer to help create and drive analytics solutions. BI/Data Engineer, key skills: Microsoft Fabric experience Proven data engineering experience - setting up complex ETL … processes with ADF pipelines Data visualisation and reporting using PowerBI Data modelling experience - conceptual, logical and physical Proficient in SQL Extensive experience with Microsoft cloud stack Data Engineer, BI Engineer, Fabric, ADF 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 More ❯

methodologies. Python Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in … Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives … Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage natural language understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end-to More ❯

Job Title: Senior Data Engineer (Contract) Salary Range: £500–£550 per day (Outside IR35) Location/Working model: London | Hybrid (3 days on-site) Join a forward-thinking data environment where innovation meets scale. You’ll take ownership of designing and delivering high-performing data pipelines that enable smarter decisions across the organization. This contract offers autonomy … modern tools, and a platform to make real impact, ideal for a seasoned engineer who enjoys solving end-to-end challenges in the cloud. The Senior Data Engineer (Contract) will architect, build, and maintain robust data solutions within a Google Cloud Platform ecosystem. Role Highlights – Design and deliver scalable ETL and ELT pipelines using SQL and Python – Build … and optimize data architectures in Google Cloud Platform (GCP) – Partner with analysts, product owners, and developers to ensure reliable data delivery – Champion best practices for governance, lineage, and performance – Enhance data observability and automate key workflows for efficiency You Will Need – Advanced hands-on experience with SQL, Python, and core GCP tools (BigQuery, Dataflow, Pub/Sub More ❯

Job Title: Senior Data Engineer (Contract) Salary Range: £500–£550 per day (Outside IR35) Location/Working model: London | Hybrid (3 days on-site) Join a forward-thinking data environment where innovation meets scale. You’ll take ownership of designing and delivering high-performing data pipelines that enable smarter decisions across the organization. This contract offers autonomy … modern tools, and a platform to make real impact, ideal for a seasoned engineer who enjoys solving end-to-end challenges in the cloud. The Senior Data Engineer (Contract) will architect, build, and maintain robust data solutions within a Google Cloud Platform ecosystem. Role Highlights – Design and deliver scalable ETL and ELT pipelines using SQL and Python – Build … and optimize data architectures in Google Cloud Platform (GCP) – Partner with analysts, product owners, and developers to ensure reliable data delivery – Champion best practices for governance, lineage, and performance – Enhance data observability and automate key workflows for efficiency You Will Need – Advanced hands-on experience with SQL, Python, and core GCP tools (BigQuery, Dataflow, Pub/Sub More ❯

SENIOR DATA ANALYST UP TO (£85,000) LONDON - Hybrid We’re looking for a Senior Data Analyst to work with a rapidly growing start up operating within the green tech space. THE ROLE AND RESPONSIBILITIES: This senior data role is focused on leading strategic, high-impact analytics initiatives that translate complex business challenges into data-driven … combines technical depth with commercial awareness, supporting decision-making across the organisation through forecasting, optimisation, and advanced analytics. You’ll also have line management responsibilities and work closely with data engineering and business stakeholders to ensure data is leveraged effectively to drive growth and operational performance. Lead forecasting and analytical projects: Develop and implement statistical and time … and operational trends. Support pricing and revenue initiatives: Use modelling and scenario analysis to assess price elasticity, optimise revenue, and inform dynamic pricing strategies. Deliver actionable insights: Translate complex data analysis into clear, compelling narratives and visualisations that influence business decisions. Experimentation and impact measurement: Design and evaluate A/B tests or uplift models to assess changes and More ❯

SENIOR DATA ANALYST UP TO (£85,000) LONDON - Hybrid We’re looking for a Senior Data Analyst to work with a rapidly growing start up operating within the green tech space. THE ROLE AND RESPONSIBILITIES: This senior data role is focused on leading strategic, high-impact analytics initiatives that translate complex business challenges into data-driven … combines technical depth with commercial awareness, supporting decision-making across the organisation through forecasting, optimisation, and advanced analytics. You’ll also have line management responsibilities and work closely with data engineering and business stakeholders to ensure data is leveraged effectively to drive growth and operational performance. Lead forecasting and analytical projects: Develop and implement statistical and time … and operational trends. Support pricing and revenue initiatives: Use modelling and scenario analysis to assess price elasticity, optimise revenue, and inform dynamic pricing strategies. Deliver actionable insights: Translate complex data analysis into clear, compelling narratives and visualisations that influence business decisions. Experimentation and impact measurement: Design and evaluate A/B tests or uplift models to assess changes and More ❯

About this Position: This role involves leading data-driven initiatives to address complex business challenges through advanced analytics and machine learning. The successful candidate will collaborate across multidisciplinary teams, providing technical leadership and ensuring the delivery of accurate, high-quality data insights. The position also offers the opportunity to engage directly with clients or stakeholders, translating technical outcomes … into actionable business solutions. Job Responsibilities: Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Provide technical mentorship and guidance to other data scientists. Design and implement algorithms, statistical models, and machine learning solutions to analyse complex data sets. Communicate analytical insights clearly to both technical and non-technical stakeholders. Engage with … clients to understand requirements and convert them into deliverable insights. Ensure the accuracy, integrity, and quality of all data outputs. Stay informed on emerging trends, technologies, and best practices in data science. Experience Required: Proven experience as a Data Scientist with proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and Plotly. Strong background More ❯

Job Title: Azure Data Engineer Location: Warwick, UK (Office Based) Job Type: Contract (Inside IR35) Duration: 6 months Job Summary: Join Tata Consultancy Services (TCS) as an Azure Data Engineer and play a key role in delivering innovative data solutions for some of the largest brands in the UK and worldwide. You will leverage your expertise in … Azure, ADF, and modern data platforms to support high-impact, data-driven projects that make a meaningful difference to our clients and communities. Key Responsibilities: Apply in-depth knowledge of Azure and SQL to develop and maintain robust data solutions. Utilize strong debugging skills to resolve issues efficiently. Design, build, and manage data pipelines using Azure … Data Factory (ADF) . Collaborate effectively with stakeholders, ensuring clear communication throughout project lifecycles. Skills, Experience, and Abilities Required: Essential: Expert-level experience with Azure Data Factory (ADF) Hands-on experience with Snowflake and Databricks Proficiency in Python programming Strong Azure and SQL knowledge Excellent debugging and troubleshooting abilities Good communication skills Desirable: 6 to 8 years of More ❯

shaping the market, through either public markets or alternative asset classes. About the Department At Aberdeen the Security, Resilience and Protection departments the security of our customer assets and data is of paramount importance, especially within our changing digital world. Within our department, an exciting and challenging opportunity has arisen for an experienced and ambitious Security Engineer. About the … Role This role represents a unique opportunity to contribute to the evolution of the cyber security engineering team and engage with teams across the enterprise to develop a best-in-class engineering function using emerging technologies and innovative working practices. Advancing a team culture that promotes learning, creativity and supportive collaboration provides an environment where new approaches, innovative … thinking and commitment will allow you to deliver high quality outputs. Reporting to the Cyber Security Engineering Manager, you will be responsible for designing, implementing and maintaining our next-generation detection and log management platforms. This role sits at the intersection of SIEM engineering, cloud security, and advanced log pipeline management, ensuring that our enterprise maintains world-class More ❯

environment. Preferred but not required: designing and delivering technology-related training programs Preferred but not required: industry experience across one or more areas, including Software Development/Programming, Test Engineering, Data Engineering, DevOps, Cloud What's in it for you? The opportunity to develop as a trainer and influence future cohorts of Associates careers Developer new technical More ❯

Job Description: Data Scientist Location: London/Hybrid – Office two days per week About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in … promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. Data Scientist We are looking for an exceptional Data Scientist to join us at this exciting time as we build on our growth. Our machine learning algorithms literally need … to be outstanding for our clients to use us. As an early joiner, the Data Scientist role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is improving the predictive power More ❯

Robert Half Technology are assisting a market-leading pharmaceuticals organisation to recruit a Data Engineer on a contract basis. Outside IR35. Hybrid working - London based (one day per week on site). Role * The Data Engineer will design, develop, and maintain data infrastructure to ensure reliability, scalability, and performance.* Collaborate with data scientists, analysts, and business … stakeholders to fulfil their data requirements and support their work.* Collect, process, and transform datasets from various sources, ensuring data quality and integrity.* Optimise and maintain the organisation's Snowflake infrastructure, providing performance tuning, enhancements, and regular "MOT" checks.* Develop and maintain DBT pipelines, mainly on Snowflake, to enable efficient transformation and modelling of data.* Implement efficient data models and schemes for storage and retrieval, optimising processes for improved performance.* Troubleshoot and resolve data pipeline and infrastructure issues swiftly and effectively.* Keep abreast of industry trends and emerging technologies in data engineering and cloud infrastructure, continuously improving skills and knowledge. Profile * The Data Engineer will have proven experience working with Snowflake infrastructure, including More ❯

Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite Im on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact. Youll be joining a … scaling B2B tech company based in Edinburgh city centre a team tackling complex systems that are ready for serious upgrades and innovation. The role: Design, build, and maintain scalable data pipelines within Databricks. Deploy, monitor, and support machine learning models in production. Take a hands-on approach to data science, analytics, and ML solutions. Continuously optimise data … and SQL. Machine learning experience in a cloud environment (AWS, Azure, or GCP). Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. Solid background in data modelling, ELT/ETL processes, and analytics best practices. If youre ready to make an impact in a growing tech company and bring your MLOps expertise to the table More ❯

Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite I’m on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact. You’ll be … scaling B2B tech company based in Edinburgh city centre — a team tackling complex systems that are ready for serious upgrades and innovation. The role: • Design, build, and maintain scalable data pipelines within Databricks. • Deploy, monitor, and support machine learning models in production. • Take a hands-on approach to data science, analytics, and ML solutions. • Continuously optimise data … and SQL. • Machine learning experience in a cloud environment (AWS, Azure, or GCP). • Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. • Solid background in data modelling, ELT/ETL processes, and analytics best practices. If you’re ready to make an impact in a growing tech company and bring your MLOps expertise to the More ❯

We are looking for a permanent Data Engineer to help implement Quantexa for a global brand based in The Midlands. Hybrid, up to £80k base + benefits. ABOUT THE ROLE We are looking for an experienced Senior Data Engineer with Quantexa expertise to join our growing team, which forms part of a larger, successful organisation working in partnership … our teams. YOUR RESPONSIBILITIES - Lead the design and implementation of enterprise solutions using Quantexa. - Collaborate with product teams and client stakeholders to define matching logic and ensure high quality data inputs. - Build and maintain data pipelines feeding into matching and analytics services. - Conduct data profiling and analysis to ensure high-quality inputs. - Optimise matching algorithms for performance … and work cross-functionally with engineers, analysts and business teams. WHAT YOU'LL BRING Essential Skills and Experience: - Hands-on experience with the Quantexa platform, particularly entity resolution. - Strong data engineering background, including data profiling and integration. - Familiarity with APIs for data access and integration. - Excellent client-facing and consultancy skills. - Experience working in Agile delivery More ❯

Job Title: Lead Data Engineer Duration: long-term contract Location: UK Based Hybrid (x2-3 days from Birmingham) Visa: No sponsorship available/No PSW Overview: We’re looking for a hands-on Lead Data Engineer to design, build, and optimize scalable data pipelines and infrastructure for global banking projects. You’ll lead a team, drive engineering best practices, and ensure data reliability, security, and compliance. Key Responsibilities: Lead and mentor a team of data engineers, establishing best practices in data engineering. Design, build, and maintain scalable, secure , and reliable data pipelines and architectures. Develop and optimize ETL processes, integrating diverse data sources into unified platforms. Ensure data quality, governance … and compliance with regulatory requirements. Collaborate with data scientists, analysts, and IT teams to support analytical and business goals. Monitor, troubleshoot , and enhance data performance and infrastructure. Key Skills & Experience: Strong experience with SQL/NoSQL databases, data warehousing, and big data (Hadoop, Spark). Proficient in Python, Java, or Scala with solid OOP and design More ❯

Senior AI & Data Consultant - Microsoft Fabric Permanent - Fulltime Homebased - Hybrid working in the UK (No sponsorship can be offered) - Must be SC Cleared or SC Clearable As a Senior Azure AI & Data Consultant you would be designing and delivering next-generation data solutions with Azure Synapse , Azure Databricks , and Microsoft Fabric . This is an opportunity to … work at the forefront of Microsoft’s evolving data ecosystem, collaborating with industry experts and global clients to turn complex data into actionable insights. Working on high-impact, enterprise-scale projects - cloud innovation, AI, and analytics. You will have continuous professional development, access to Microsoft certifications, and a genuine path for career progression. Flexible working culture with opportunities … to influence technology direction and solution design. What you’ll do Architect and implement scalable data platforms to ingest, store, and transform large, complex datasets across Azure services. Develop clean, efficient, and reusable Python code to enable advanced data engineering workflows. Design and build AI solutions Advise clients on AI strategy, best practices, and how to get More ❯

guide and shape the tech future of a global Legal organisation. Working as a Head of Technology you will be responsible for managing the project pipeline, architecture, software development, data engineering, testing and business analysis functions as well as being responsible for both technology delivery and shaping IT strategy. What’s in it for you? An opportunity to … a proven track record working at “Head of” or equivalent level within a mid to large IT department. Previous experience in setting and delivering strategic direction across software, cloud, data and AI. Strong experience in managing IT teams including software development functions as well as a solid background in program and project management, ensuring delivery within established governance frameworks. … Previous experience working in mid-large scale IT functions within professional services environments/highly regulated industries In-depth understanding and practical experience with software, SaaS, PaaS, IaaS, and Data Engineering/Business Intelligence technologies and their implementation. Demonstrable success in leading GenAI and Agentic AI solutions Exceptional stakeholder and vendor management skills Extensive experience of collaborating with More ❯

Job Title: BE/Data Engineer (AI/ML) Location: UK/Remote Position Type: Full-time/Permanent Our team is changing the way Travel Arrangers and Corporate Travelers book travel by offering a powerful, easy-to-use, full 360 solution that encompasses all aspects of the Traveler’s journey from initial search to final destination. We are … seeking a highly skilled data engineer with a strong foundation in Machine Learning (ML) and Artificial Intelligence (AI). This hybrid role is ideal for someone who is passionate about solving complex problems through building scalable global solutions that effectively leverage data pipelines combined with AI/ML technologies. About Us: CTM is an award-winning provider of … solutions to deliver a return on investment to our customers. Headquartered in Australia, we provide local services solutions to clients across the globe. How You Will Have an Impact Data Engineering/Analytics with a Machine Learning & AI Focus: Design, develop, and deploy ML models and data pipelines to solve business problems. Work with large datasets to More ❯

About the role As the world of data engineering becomes increasingly pivotal in driving modern digital ecosystems, The Coventry is looking to welcome a Senior DataOps Engineer who can inspire and coach our existing Data Engineering teams. This is more than just a technical role, were looking to build a culture of innovation, ownership, and continuous More ❯

About the role As the world of data engineering becomes increasingly pivotal in driving modern digital ecosystems, The Coventry is looking to welcome a Senior DataOps Engineer who can inspire and coach our existing Data Engineering teams. This is more than just a technical role, were looking to build a culture of innovation, ownership, and continuous More ❯

into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As aSenior Performance Marketing Analyst, you'll be part … performance across paid search, social, affiliates, display, and CRM to uncover growth opportunities. Build dashboards and reporting in Metabase to track spend, conversion, ROAS, CAC, and lifetime value. Provide data-led recommendations to optimise channel mix, creative performance, and audience targeting. Partner with marketing and product teams to embed analytics into campaign planning and decision-making. Write efficient SQL … be in the office at least two days per week. Key Requirements About You Proficient in SQL, with experience querying and transforming large datasets across marketing, sales, and customer data sources. Comfortable working with modern data stacks, ideally including Redshift, BigQuery, Matillion, Metabase, and Retool. Strong grasp of performance marketing metrics such as ROAS, CAC, CTR, CPM, and More ❯