776 to 800 of 1,354 Data Engineering Jobs in the UK

Senior Data/Consulting Engineer (Palantir Foundry) – London – Salary Up To £60,000 per annum Are you a seasoned engineer ready to lead in the AI era? A true Palantir expert? Then Morela has the opportunity for you. Morela are proud to be working with one of the UK’s leading Palantir partners, who are experiencing rapid growth and … now looking to bring on a Senior Data/Consulting Engineer to help drive complex, high impact projects forward. This role is about more than just technical proficiency it’s about leadership, strategy, and joining a team of exceptional individuals who are shaping transformative journeys on the Palantir Foundry platform. You’ll be joining a consultancy at the forefront … some of the most intricate digital environments. With experience across both public and private sectors, this team delivers end-to-end support from strategic advisory and programme design to engineering execution and long term enablement. Their collaborative ethos and deep technical acumen allow them to consistently deliver solutions that offer real-world impact and long term value. Core Responsibilities More ❯

Python Data Engineer | Outside IR35 | London | £700pd | 6 months Our client is a leading global cross asset management house, recently they have had a wider transformation initiative with their Japanese office and are launching several projects to streamline data access and automation. One of the key projects involves the development of a scraper tool that extracts the data … sources such as API's, PDF, Excel, HTML, CSV etc. In order to build this they are looking for a seasoned Python Engineer who has a good understanding of data engineering as well to help build this from scratch. You will be joining a small team with clearly defined scopes of what needs to be done, however you … involvement with the stakeholders across the business so being able to confidently hold technical conversations in meetings is essential. Requirements: Professional experience as a Python developer in a software engineering context Strong knowledge of web scraping techniques and tools (e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud More ❯

Python Data Engineer | Outside IR35 | London | £700pd | 6 months Our client is a leading global cross asset management house, recently they have had a wider transformation initiative with their Japanese office and are launching several projects to streamline data access and automation. One of the key projects involves the development of a scraper tool that extracts the data … sources such as API's, PDF, Excel, HTML, CSV etc. In order to build this they are looking for a seasoned Python Engineer who has a good understanding of data engineering as well to help build this from scratch. You will be joining a small team with clearly defined scopes of what needs to be done, however you … involvement with the stakeholders across the business so being able to confidently hold technical conversations in meetings is essential. Requirements: Professional experience as a Python developer in a software engineering context Strong knowledge of web scraping techniques and tools (e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud More ❯

Senior Software Engineer, Platform Engineering Join our Quant Strat Platform team within Commodities and Global Markets to engineer scalable solutions for our global trading desks. Our team applies specialist methods from mathematics, science, and engineering to generate revenue. We focus on data, models, and algorithms for derivative valuation, risk management, automated trading, and data-driven decision … are always seeking the best tools to tackle each challenge, whether that means embracing new technologies or revisiting familiar ones. You will deliver solutions for large-scale software and data engineering challenges. Working closely with business teams, you will have the autonomy to innovate and build solutions from scratch, bringing your ideas to life. With full ownership of … scalable, and pragmatic solutions with immediate impact Ability to work independently with exceptional proficiency, collaborating with diverse stakeholders to deliver comprehensive solutions from evolving requirements Experience with cloud and data/ML technologies such as AWS, Kubernetes, data lakes, and data pipeline orchestrators is advantageous We welcome applications from anyone inspired to build a better future with More ❯

Python Data Engineer | Outside IR35 | London | £700pd | 6 months Our client is a leading global cross asset management house, recently they have had a wider transformation initiative with their Japanese office and are launching several projects to streamline data access and automation. One of the key projects involves the development of a scraper tool that extracts the data … sources such as API's, PDF, Excel, HTML, CSV etc. In order to build this they are looking for a seasoned Python Engineer who has a good understanding of data engineering as well to help build this from scratch. You will be joining a small team with clearly defined scopes of what needs to be done, however you … involvement with the stakeholders across the business so being able to confidently hold technical conversations in meetings is essential. Requirements: Professional experience as a Python developer in a software engineering context Strong knowledge of web scraping techniques and tools (e.g. BeautifulSoup, Requests, Selenium, or Scrapy) Understanding of website structures, and how to extract data Knowledge of modern cloud More ❯

About the Role This is a hands-on role focused on applying AI techniques to both geospatial and non-geospatial data, 3D workflows, and internal datasets to drive automation, insights, and new product capabilities. This presents an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. … Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for training, validation, and inference, including geospatial data types. Design, test, and deploy predictive models and recommendation systems into production … environments. Identify and develop opportunities for AI-powered automation and decision-making tools. Contribute to the architecture of intelligent data pipelines that support both internal operations and customer-facing features. Continuously evaluate model performance and apply strategies for tuning, retraining, or improvement. Participate in product and project planning to help prioritize AI-driven initiatives. Mentor team members by sharing More ❯

About the Role This is a hands-on role focused on applying AI techniques to both geospatial and non-geospatial data, 3D workflows, and internal datasets to drive automation, insights, and new product capabilities. This presents an opportunity to contribute to novel research into developing spatial intelligence models, as well as the practical application of existing cutting edge techniques. … Responsibilities Collaborate with cross-functional teams including Product, Engineering, and Data Engineering to translate business challenges into scalable ML solutions. Collaborate with external AI specialists to deliver larger-scale projects. Explore, clean, and transform large datasets for training, validation, and inference, including geospatial data types. Design, test, and deploy predictive models and recommendation systems into production … environments. Identify and develop opportunities for AI-powered automation and decision-making tools. Contribute to the architecture of intelligent data pipelines that support both internal operations and customer-facing features. Continuously evaluate model performance and apply strategies for tuning, retraining, or improvement. Participate in product and project planning to help prioritize AI-driven initiatives. Mentor team members by sharing More ❯

Certifications That Can Boost Your Data Science Career in 2024 In today's data science landscape, how does one set themselves apart from the competition? Let's take a look at seven of the best certifications out there. In today's data science landscape, how does one set themselves apart from the competition? Certifications in data science can greatly enhance your career by proving your skills and creating new job opportunities in 2024. Data science certificates help to gain knowledge about data science. They also help to validate our skills in this field. Let's take a look at some of the best certifications out there. Certified Analytics Professional (CAP) Candidates passing the … to write this exam. A master's degree and three years of experience or seven years of non-analytics experience are also sufficient. The exam includes topics such as data preparation and model building. Cost: $375 for members, $575 for non-members Validity: 3 years Google Certified Professional Data Engineer The Google Certified Professional Data Engineer certification More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯

Data Lead | £110,000 per annum | Databricks, Azure, Python, PowerBI | London My client are seeking a hands-on Data Manager to join a fast-moving team and architect a scalable, efficient data environment using Azure Databricks , Python , and Power BI — with the ambition to integrate Microsoft Fabric . This is a technical leadership role , ideally suited to … someone who thrives on solving bottlenecks in data workflows, enabling self-serve analytics, and shaping the future of data architecture across the business. Location - London (Moorgate is the closest station) Salary - £110,000 Key Responsibilities: Architecting and delivering a modern, enterprise-level data platform. Leading a small but capable team of 2. Building and optimising pipelines in … Azure Databricks using Python . Collaborating with Data Analysts, BI teams, and business stakeholders to ensure data is accessible and actionable. Driving the transition toward more flexible and scalable reporting (Power BI, potentially Fabric). Reducing reliance on core data engineering for basic data access and analysis — removing bottlenecks and empowering users. Key Skills: Strong More ❯

Data Lead | £110,000 per annum | Databricks, Azure, Python, PowerBI | London My client are seeking a hands-on Data Manager to join a fast-moving team and architect a scalable, efficient data environment using Azure Databricks , Python , and Power BI — with the ambition to integrate Microsoft Fabric . This is a technical leadership role , ideally suited to … someone who thrives on solving bottlenecks in data workflows, enabling self-serve analytics, and shaping the future of data architecture across the business. Location - London (Moorgate is the closest station) Salary - £110,000 Key Responsibilities: Architecting and delivering a modern, enterprise-level data platform. Leading a small but capable team of 2. Building and optimising pipelines in … Azure Databricks using Python . Collaborating with Data Analysts, BI teams, and business stakeholders to ensure data is accessible and actionable. Driving the transition toward more flexible and scalable reporting (Power BI, potentially Fabric). Reducing reliance on core data engineering for basic data access and analysis — removing bottlenecks and empowering users. Key Skills: Strong More ❯

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative … workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team: Our Regulations team is responsible for acquiring and providing key regulatory data to our clients. We collect, analyse, process and publish the data which is the backbone of our iconic Bloomberg Terminal - the facts and figures which ultimately move the financial markets. … Reference data for regulatory reporting plays an ever-increasing role in our clients' workflows, and the Data team fulfills a meaningful function in supporting Bloomberg users with regulatory change. We analyze regulation, determine the reference data needs, and make this data available on the Terminal in order to support the regulatory reporting needs of our clients. More ❯

About The Team: The Data Engineering Team within the Data & Business Intelligence Team is at the heart of HelloFresh UK's operational success. We design and implement bespoke data processing workflows tailored to the unique needs of the UK marketplace, while ensuring alignment with global data engineering strategies. As a Data Engineer, you … will play a critical role in driving the UK data enablement function, with a focus on optimizing and scaling our data pipelines, improving the architecture of existing systems, and providing technical leadership to shape the future of our data landscape. What You Will Be Doing: Architectural Leadership: Provide architectural vision and technical leadership for the design, enhancement … and scalability of the UK's data processing workflows. Ensure solutions are aligned with the broader global data architecture, and ensure future-proofing of the data pipelines. ETL and Automation Excellence: Lead the development of specialized ETL workflows, ensuring they are fully automated and optimized for performance using tools like Apache Airflow, Snowflake, and other cloud-based More ❯

Senior Data Engineer – Up to £110,000 + Bonus – London (Hybrid) – Gaming Overview: A market leading Digital Marketing agency specializing within the online gaming sector are searching for a Senior Data Engineer to join one of their growing teams in London on a hybrid basis. Role & Responsibilities: Design, implement, and maintain robust ETL pipelines to integrate data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and create actionable insights to … enhance customer experiences and revenue streams. Collaborate with stakeholders to deliver visually compelling reports and dashboards using tools like Tableau. Oversee the administration, monitoring, and maintenance of data infrastructure and services. Ensure compliance with data security and governance best practices Technical Requirements: 5+ years of experience in data engineering roles, with a proven ability to lead More ❯

Senior Data Engineer – Up to £110,000 + Bonus – London (Hybrid) – Gaming Overview: A market leading Digital Marketing agency specializing within the online gaming sector are searching for a Senior Data Engineer to join one of their growing teams in London on a hybrid basis. Role & Responsibilities: Design, implement, and maintain robust ETL pipelines to integrate data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and create actionable insights to … enhance customer experiences and revenue streams. Collaborate with stakeholders to deliver visually compelling reports and dashboards using tools like Tableau. Oversee the administration, monitoring, and maintenance of data infrastructure and services. Ensure compliance with data security and governance best practices Technical Requirements: 5+ years of experience in data engineering roles, with a proven ability to lead More ❯

Senior Data Engineer – Up to £110,000 + Bonus – London (Hybrid) – Gaming Overview: A market leading Digital Marketing agency specializing within the online gaming sector are searching for a Senior Data Engineer to join one of their growing teams in London on a hybrid basis. Role & Responsibilities: Design, implement, and maintain robust ETL pipelines to integrate data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and create actionable insights to … enhance customer experiences and revenue streams. Collaborate with stakeholders to deliver visually compelling reports and dashboards using tools like Tableau. Oversee the administration, monitoring, and maintenance of data infrastructure and services. Ensure compliance with data security and governance best practices Technical Requirements: 5+ years of experience in data engineering roles, with a proven ability to lead More ❯

DATA ANALYST - LONDON (HYBRID) - SQL, AWS, £60k A growing fintech is seeking a Data Analyst to bridge business needs with technical solutions. You'll work with Commercial, Finance, Risk, and Operations teams, building reports in Tableau/QuickSight while picking up light data engineering tasks. The Role: Partner with stakeholders to understand reporting requirements Design data … Build dashboards and train users for self-service analytics Explore AI solutions to improve operational efficiency 2-3 days per week in London office for collaboration Essential Skills: Strong data analysis and SQL experience Data modelling knowledge with business application Clear communication with non-technical stakeholders Self-starter comfortable with ambiguous challenges Agile environment experience Desirable: AWS ecosystem … exposure DataOps/CI-CD experience Fintech or banking background This isn't just report generation - you'll help shape how a fast-growing company uses data strategically. They're at the point where analytics is becoming central to decision-making, making this an ideal time to join and influence their data maturity. Perfect for someone who enjoys More ❯

Head of Data Reading (Hybrid) £95k Permanent HL13523 Finatal are partnered with a leading technology business that works across the finance, health and education, and public services sectors. They have had private equity investment from a technology-focused fund and have been scaling through organic and inorganic growth. With a big focus on Data Governance, they are looking … for a head of data to join and scale out the team further. You will work with the c-suite to enhance and implement the end-to-end data strategy, optimising infrastructure, reporting and decision analytics. Role overview: In this hands-on role, you will develop and maintain a modern data infrastructure, including Snowflake data lake … Informatica for MDM & DQ and Power BI. Ensure infrastructure is scalable and data quality is maximised in line with DAMA’s framework Partner with the CFO and Director of Commercial Finance to develop the data strategy and guide them on roadmap implementation. You will have the opportunity to grow a small team across Data Engineering, Governance More ❯

here will be unlike any job you've had before. Things you'll do in this role: Author analyses and maintain high-level datasets to support business intelligence and data-driven decision-making. Use skills in areas like statistics, simulation and optimization to inform how carbon removal is verified and help build relevant product experiences. Collaborate with product engineering teams to design and implement data engineering and AI/ML infrastructure. Things we're looking for: Proficiency in data analysis, insights generation and using cloud-hosted tools (e.g., BigQuery, Metabase, Jupyter). Strong Python and SQL skills, with experience in data abstractions, pipeline management and integrating machine learning solutions. Adaptability to evolving priorities and More ❯

Team Overview: Client Onboarding Engineering is the key group focused on various key activities involving onboarding of clients of Goldman Sachs faster and better. We are committed to delivering projects involving process workflow for KYC Due Diligence (AML), Regulatory & Product Due Diligence, entity case assessment, Client outreaches, Contact Management, Agreement services, client account opening services, and Client Lifecycle Management … platform. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. We use both open-source industry standard and internal proprietary technologies to build strategic platforms for onboarding clients through proactive management of the f2b onboarding process. This also involves projects requiring document and data digitization through … and full automation of the various workflows and processes. Team members have the opportunity daily to work with various global stakeholders (Compliance, Business, Client Implementation, Quality Assurance, Firmwide Ref Data Engineering) to onboard new clients with a focus on efficiency, control, and excellent client service that is mandated per se AML Enhanced Due Diligence (EDD) Policy and select More ❯

maintaining our customers' trust and ensuring compliance with regulatory requirements. We work closely with the Operations team to investigate suspicious activities and collaborate cross-functionally with Compliance, Risk, Platform Engineering and product leaders to build and continuously improve the intelligence powering our detection and monitoring systems. Job responsibilities: Develop and refine the intelligence used to detect financial crime, balancing … reduce false positives, investigation time, and customer friction Deliver actionable insights that directly improve detection rates, uncover new risk patterns, and inform prevention strategies Act as a bridge between data and the business, collaborating closely with Operations, Compliance, Engineering, and Product teams to shape and prioritise analytical initiatives Identify opportunities to improve and automate monitoring, escalate emerging threats … and continuously evolve our understanding of risk Build and maintain clear and impactful dashboards, reports, and documentation to monitor key metrics, surface relevant trends, and drive data-informed decisions Partner with data engineering to design and maintain scalable, reliable data models and ETLs that underpin both operational and strategic use cases Help define and analyse fraud More ❯

Equities Quant Platform Engineering Lead - Python (Technology) - VP Overview Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking … with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. What We do/The Team Are you a passionate and experienced engineering leader eager to build high-impact front office quant tools? Citi's Equities Technology team is undergoing significant growth and investment, specifically within our high-priority systematic trading and … analytics systems. We are seeking a hands-on Engineering Lead to drive the development of our next-generation quantitative development platform serving the Equities Cash, Derivatives, and Prime businesses. This is a unique opportunity to make a significant impact as the platform enters its key growth phase. You will be instrumental in shaping critical capabilities including building an event More ❯

Interim GenAI and Data Specialist A unique opportunity for a commercially minded data specialist with expertise in Generative AI to join a fast-paced venture setting. This role offers the chance to work at the forefront of AI-driven product innovation, collaborating closely with product, growth, and leadership teams to shape and scale new propositions. The environment combines … established organisation. The focus is on building and growing new products and services in markets where customer needs are underserved. The Role This position will suit a hands-on data professional with a strong track record in delivering practical, commercially valuable AI and data solutions. You will play a leading role in identifying, testing, and scaling GenAI applications … within new and existing ventures, working alongside product managers, growth leads, and commercial teams. Key responsibilities include: Identifying opportunities where AI and data can deliver measurable customer and business outcomes. Rapidly developing and testing prototypes to validate AI use cases. Advising product and commercial teams on the practical application of GenAI and data-led insights. Staying ahead of More ❯