76 to 100 of 118 Data Engineering Jobs in Slough

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images, video … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. … You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt … KDB+, Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their More ❯

We're seeking a highly skilled and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate … across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and … reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They … combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small … high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all systems. More ❯

Job Title: Business Intelligence Data Analyst Location: Middlesex 12 Month Contract Salary up to £65k + Benefits Job Type: Full-time Department: Sales Operations/Business Analytics Job Overview Are you passionate about transforming data into strategic insights that drive business success? We are looking for a Business Intelligence Data Analyst to support our Global Virtual Sales … GVS) team across EMEA. This role is essential to enabling data-driven decision-making that maximizes sales effectiveness and enhances operational efficiency. As part of a dynamic and collaborative environment, you’ll work closely with cross-functional teams—including Sales, Finance, Operations, Strategy & Planning, and IT—to analyze complex datasets and deliver actionable insights. Your work will directly influence … how we execute our Sales Go-to-Market strategy and shape the future of virtual selling Key Responsibilities Enable and support data-driven decision-making across sales operations to enhance productivity and revenue growth. Conduct advanced analysis of complex datasets spanning sales, operations, marketing, and planning. Design and develop reports and dashboards to track performance, identify trends, and uncover More ❯

Miryco is working with a leading player in the Pension and Asset Management market. Job Specification: Business Intelligence Analyst/Data Engineer Department: Business Intelligence/Data Analytics Sector: Pensions & Asset Management About the Role: We are seeking a hybrid Business Intelligence Analyst/Data Engineer to join our data and analytics team within a leading … Pension & Asset Management organisation. This role will play a key part in unlocking the value of our data, driving insights that support investment decisions, client reporting, and operational efficiency. The ideal candidate will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop … maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations, and reports for business stakeholders. Ensure data accuracy, governance, and security across reporting processes. Work with large datasets from multiple sources (investment, risk, client More ❯

Data Engineer Location: London (4 days/week in office) We are working with a world leading E-commerce company who have a platform used by millions worldwide — and data is at the heart of it. Their systems already process thousands of messages per second, powering real-time learning, analytics, and reporting at global scale. We’re looking … for a Data Engineer to join the platform team. You’ll help design, build, and run pipelines and services on a modern data stack (Kafka, AWS, Iceberg, Kubernetes), collaborating with engineers, data scientists, and product teams across multiple regions. What you’ll do Build & maintain streaming and batch pipelines Develop our Lakehouse (AWS S3 + Iceberg) Ensure … data is trustworthy, accessible, and reusable Implement schemas, contracts, and observability Support compliance with global data regulations What you’ll bring Good working experience in data engineering Hands-on with Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity More ❯

Contract Data Analyst – 3 Months (Strong Likelihood to Extend/Convert) | Outside IR35 💻 Remote/London - Some Office requirements throughout 💸 £350 - £375 per day ⚙️ SQL, Python, Excel Burns Sheehan are working with a business looking for a Contract Data Analyst to work alongside a Data Scientist, helping turn data into actionable insights that inform product enhancements … and new data-led initiatives. This is an insight-focused role rather than a reporting-heavy position, so strong technical and analytical skills are essential. You’ll be responsible for: Assessing, profiling, and QA’ing datasets to identify patterns, gaps, and opportunities Partnering with the Data Scientist to surface actionable insights Translating business questions into analytical work and … presenting clear data “stories” to stakeholders Collaborating with BI, Product, and Data Engineering teams to influence product and business decisions What we’re looking for: Excellent SQL and strong Excel skills Intermediate Python experience; exposure to MS BI stack is a plus Ability to communicate complex analysis clearly and manage stakeholders effectively Broad analytical experience, comfortable bridging More ❯

Forward Deployed Engineer – London – Up to £100,000 per annum Are you a data-driven professional with a passion for delivering impactful solutions using Palantir Foundry? Do you excel in translating complex data challenges into actionable insights? If so, Morela has an exciting opportunity for you. Morela is proud to partner one of the fasted growing consultancies in … Europe, renowned for their innovative approach to data integration and analytics. As they continue to expand, they're seeking a skilled Forward Deployed Engineer to join their dynamic team. This role is perfect for someone who combines technical expertise with a consultative mindset, aiming to drive value across diverse projects. You'll be part of a forward-thinking consultancy … that operates at the intersection of advanced technology and real-world impact. Serving both public and private sectors, their services encompass strategic advisory, digital transformation, and end-to-end data engineering. As a Forward Deployed Engineer, you'll play a crucial role in designing and implementing data solutions that empower clients to make informed decisions. Core Responsibilities Data More ❯

approaches Pioneer developments in multi-modal AI systems and next-generation language understanding Technical Leadership & Implementation Build and optimise large-scale training infrastructures for foundation model development Design robust data engineering solutions for complex multi-modal datasets Lead end-to-end model deployment from research prototype to production-ready systems Implement distributed training frameworks and inference optimisation pipelines … Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a collaborative research environment that prioritises innovation and professional More ❯

Senior Data Integration Engineer 📍 Location: London, UK 💼 Team: Data & Technology Ready to help shape the future of aviation through data? We are looking for a hands-on Senior Data Integration Engineer to join a fast-paced technical programme. This is a delivery-focused role — not a consultancy or leadership position — ideal for someone who thrives on … solving complex data challenges and building robust, scalable integrations across cloud-native platforms. 🔧 What You’ll Be Doing Analyse and understand system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). Ensure data … clarify requirements and deliver solutions. Troubleshoot integration issues end-to-end and drive continuous improvement. Champion standardisation of integration patterns and documentation. 🧠 What You’ll Bring Proven experience in data engineering or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex More ❯

Senior Data Engineer (AWS Kafka Python) London/WFH to £85k Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data Engineer you will design and build end-to-end real-time data pipelines using AWS native tools, Kafka and modern data architectures, applying AWS Well-Architected Principles to ensure scalability, security and resilience. You’ll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and … fault tolerant data engineering solutions. Location/WFH: There’s a hybrid work from home model with two days a week in the London, City office (or at client site in London). About you: You are an experienced Data Engineer within financial services environments You have expertise with AWS including Lake formation and transformation layers You More ❯

properly and seeing your work make a visible impact, you’ll like this one. You’ll join a growing consumer app that helps millions of people each month, where data actually drives every product decision. The team moves fast, values ownership, and is looking for someone who wants to build clean, scalable data systems that others rely on … daily. You’ll take charge of the data platform - designing pipelines, connecting systems, and making sure everyone across the company can trust and use the data with confidence. You won’t be stuck doing endless ad hoc reports. You’ll build the foundations that make analysis and experimentation effortless for everyone else. What you’ll do Design, build … and maintain data pipelines and orchestration (Airflow, dbt, BigQuery) Integrate and manage data from multiple SaaS platforms (e.g. GA4, AppsFlyer, Stripe, PostHog) Build reliable infrastructure for analytics, growth, and product teams Improve data quality, observability, and scalability across the platform Enable self-serve insights through well-structured models and documentation What you’ll bring 4+ years’ experience More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will … work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. Key Responsibilities: Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather … requirements and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

options , ensuring you’re rewarded as the business grows. The Role This is an exciting opportunity for a Software Engineer looking to make an impact within a high-performance data and analytics environment . Working in the Data Distribution team , you’ll help design and develop systems that distribute vast amounts of financial data efficiently, securely, and … at scale. You’ll play a critical role in developing APIs, workflow automation, and CI/CD pipelines — ensuring the reliability, performance, and scalability of the company’s data delivery systems. What You’ll Do Design and build systems to distribute large datasets to global clients. Develop API and system solutions that follow best engineering practices. Implement workflow … CI/CD pipelines for continuous testing and deployment. Collaborate closely with product and operations teams to deliver seamless solutions. Evaluate and integrate emerging tools and technologies in the data engineering space. What We’re Looking For Essential: Degree in Computer Science, Engineering, or a related STEM subject. 2+ years’ experience as a Software Engineer (or Data More ❯

Snowflake Centre of Excellence Lead - London Who we are: We deliver powerful data and AI solutions that minimise operational cost, strengthen resilience against risk, and uncover revenue opportunity. Our clients can retain our people to drive lasting adoption while futureproofing their workforce with exceptional talent. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake … and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI. Role Purpose: As part of our Core Practice, you will be joining a tight knit team of motivated technology professionals where ongoing learning and development are central to our ethos and internal culture. You … developing Snowflake-focused intellectual property, including best practices, accelerators, reusable frameworks, and reference architectures Strengthen our Snowflake partnership by leveraging technical credibility to build trusted relationships with architecture and engineering stakeholders at Snowflake Provide technical assurance on delivery projects, ensuring that all solutions adhere to established Snowflake implementation best practices Contribute to pre-sales activities by shaping proposals, supporting More ❯

core technology crucial to Ki's success – allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach. We … re looking for a Staff Software Engineer to join our Engineering team. You will provide technical leadership for both delivery squads and the wider engineering organisation. Along with our engineering leadership, you’ll champion engineering excellence and high standards of quality through an environment of continuous improvement. You will be hands-on, directly delivering new impactful … for growth and improvement - Build mock-ups or prototypes to explore and troubleshoot new initiatives - Explore new ideas and emerging technologies, develop prototypes quickly - Uphold and advance the wider engineering team’s principles and ways of working - Promote a culture of continuous improvement, positively influence current ways of working, leading by example - Serve as a domain expert in many More ❯

to be partnering with a leading force in the UK Government & Defence space to help build a high-impact team delivering one of the most sensitive and strategically important data programmes in the country. We’re seeking SC/DV Cleared Palantir Engineers who are driven by purpose, thrive in secure environments, and want to work on real-world … Doing You’ll be embedded in a fast-paced, mission-led programme where your work directly supports UK Government operations. Day-to-day, you’ll: ⚙️ Build and maintain scalable data pipelines within Palantir Foundry or Gotham 🔄 Ingest, transform, and integrate both structured and unstructured sensitive data sources 🔐 Enable secure access control, data modelling, and operational logic within … highly classified environments 🤝 Collaborate with multidisciplinary teams of analysts, engineers, and delivery experts to design secure, data-driven solutions 🚀 Contribute to a long-term agile delivery roadmap for mission-critical national programmes 🧠 What We're Looking For We're interested in engineers who are motivated by impact , not just tech for tech's sake. You should have: ✅ Proven hands More ❯

options About the Role 🧠 A fast-growing UK tech group is looking for a hands-on AI Infrastructure Engineer to design and build the systems connecting core platforms (CRM, data lake, business tools) into a unified, AI-ready architecture. This is a greenfield build role — you’ll wire together SaaS tools, automate data flows, and shape the internal … AI Infrastructure/AI Platform Lead Hybrid London office: minimum 3 days onsite, hands-on role, fast-paced environment What You’ll Do 🔧 Design and implement end-to-end data pipelines linking core platforms (CRM → data lake → AI systems) Architect schemas and transformation layers optimized for analytics, automation, and AI workflows (RAG/internal copilots) Build Python and … to streamline operations and M&A integration processes Monitor, ensure reliability, and scale integrations and pipelines Document and modularize infrastructure for future AI engineers ✅ Must-Haves: Python & SQL experience Data engineering skills : pipeline design, data modeling, schema development Experience with API integrations, webhooks , and low/no-code automation tools (Zapier, Make, Matillion) Comfortable in AWS or More ❯

Engineer Rate - £850 Hybrid working - London What you'll do Design and build AI prototypes using LLMs, agentic workflows, and vector-based knowledge retrieval Collaborate with investment teams and data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt … engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio analysis The knowledge, experience and qualifications you need Strong proficiency in Python, particularly for AI/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or … commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or exploratory environment Strong collaboration skills and ability to work with investment stakeholders The knowledge, experience and qualifications that will More ❯

Principal Python Engineer Salary: Up to £130k + bonus Location: London (3x per week) I’m working with a global financial organisation that’s investing heavily in its data and cloud technology platform, and they’re looking for a Python Engineer to join their growing Investment Technology team. You’ll be: Building clean, scalable Python back-end systems Designing … cloud-first solutions in AWS (Lambda, AppSync, DynamoDB) Collaborating with data, investment, and engineering teams Shaping best practices across CI/CD, DevOps, and agile development What we’re looking for: 5+ years’ experience in software engineering (3+ in Python) Needs to have experience within financial services, fintech, or investment tech! Strong AWS and data engineering … of APIs, SQL/NoSQL, and modern software design A problem-solver who enjoys working closely with the business If you’re a Python engineer who loves solving complex data challenges in a collaborative, cloud-first environment — drop me a message: daniel.wexler@sourcegroupinternational.com THIS ROLE DOES NOT PROVIDE SPONSORSHIP More ❯

Tick Data Engineer – London (Buy-Side) Our client, a leading London buy-side firm, is looking for a Tick Data Engineer to build and maintain the data infrastructure that powers their trading and research teams. You’ll be responsible for: Handling billions of ticks per day efficiently Building low-latency, scalable pipelines Delivering reliable, query-ready datasets … to quants and researchers What they are looking for: Experience in distributed data engineering at scale Strong coding skills in Python, C++ or Java Familiarity with kdb+, ClickHouse, Kafka, Parquet/Arrow Previous experience with tick-level financial data is a strong advantage More ❯