101 to 125 of 134 Data Engineering Jobs in Berkshire

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 Analyst - SQL & Python Location: West Berkshire - Hybrid working 2 days in the office Reference: J12993 Salary : Neg up to £60,000 DOE Note: Full and current UK working rights required for this role Join a supportive, collaborative team where your inquisitive nature is valued and encouraged. We’re working with a valued and respected client who is … looking to grow their analytical team. You’ll be responsible for leading the strategic analysis and interpretation of complex datasets. Your work will directly inform the development of data products that influence key business and research outcomes. This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non … technical. About the Role Key Responsibilities Skills Translate complex business requirements into robust data solutions and modelling frameworks. Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights. Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle. Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and 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 ❯

We make equipment, software, and systems that help to plan, deploy, certify, monitor, and optimize all kinds of networks - like those for mobile phones, service providers, large businesses, and data centers. And we are also at the forefront of optical security - we bend light to develop and deliver optical solutions that provide security to the world's currencies and … and monitor AI workloads in containerized cloud environments (Docker, Kubernetes, AWS/GCP/Azure) Participate in code reviews, architecture discussions, and mentor junior engineers Collaborate cross-functionally with data science, product, and operations teams Champion responsible AI practices and safety mechanisms in all development work Pre-Requisites/Skills/Experience Requirements: Bachelor's degree in Computer Science … Software Engineering, or related field (Master's a plus) Extensive experience in professional software development Strong Python skills and a track record of delivering maintainable, well-tested code Experience with LLM APIs (OpenAI, Hugging Face, Anthropic) or ML frameworks (PyTorch, TensorFlow) Solid understanding of CI/CD, Git, testing, and agile methodologies Hands-on experience with Linux, Docker, and 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 ❯

ML workflows. Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices … MLOps, and infrastructure engineering. Document infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker … Kubernetes). Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. Ability to design scalable, secure, and observable systems in fast-moving environments. Strong debugging and More ❯

Our client is a leading hedge fund in London, leveraging cutting-edge technology and data to drive investment decisions across diverse asset classes. They're looking for a skilled Data Engineer to play a crucial role in building and optimizing the firm's data infrastructure. Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. … Collaborate with data scientists and analysts to support data-driven strategies. Ensure data accuracy, consistency, and security across various data sources. Drive innovation by exploring new technologies and best practices in data engineering. Requirements: Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 1+ years of experience in data engineering. Proficiency in SQL, Python, and big data tools like Spark. Excellent problem-solving skills and a collaborative mindset. More ❯

and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision-making. 📍 6 month rolling contract (strong likelihood of multi-year renewals) 💸 Rate … Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/CD, containerisation and monitoring … of services. Help maintain documentation, tests and runbooks for production systems. Technical/professional skills (essential) Strong production Python experience (3+ years at senior level). Proven experience with data engineering/ETL and time-series or market data. Experience building dashboards/visualisations — Grafana highly preferable . Solid SQL skills and working knowledge of databases (Postgres, TimescaleDB More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

About Us: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services … AI Platforms company, has seen 2.5x growth YoY since its inception in 2013 Headquartered in Boston, with 3300+ data science professionals across 11 global offices Winner of 3X NVIDIA AI Partner of the year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI … Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms. Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next 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 … and UX designers to review designs, implement new features, and ensure user experience is top level • Explore new ideas and emerging technologies, develop prototypes quickly • Uphold and advance the engineering team’s principles and ways of working • Serve as a domain expert for one or more of Ki’s core technologies • Mentor and coach colleagues in both engineering and business domain subjects Required Skills and Experience: • Experience as a mid-senior level engineer working across a modern web stack • Strong software engineering principles (SOLID, DRY, ER modelling) • Professional experience with a server-side language, ideally JVM based • Professional experience building web-based single page applications, using React/Typescript or an equivalent • Knowledge of front-end More ❯

are working with a global Oil, Gas and Energy firm in London seeking an experienced Contract Python Developer for a high-impact engagement. You’ll be contributing to scalable, data-driven platforms and back-end systems in a complex and fast-moving environment, collaborating across teams to deliver cutting-edge solutions in the energy sector. Responsibilities of the Contract … Python Developer (Commodities) Lead the design, development and optimisation of robust Python-based applications and services Build scalable, secure APIs and data pipelines using modern frameworks and tools Work closely with DevOps and data teams to deploy and maintain microservices in cloud environments (e.g., AWS, Azure) Write clean, maintainable code with strong testing coverage using tools such as … through code reviews, automation, and performance tuning Ensure best practices around security, scalability, and maintainability are applied throughout Requirements for the Contract Python Developer (Commodities) 8+ years of software engineering experience, with 4-6 years of professional Python development Strong experience building RESTful APIs and working with frameworks such as Django, Flask, or FastAPI Familiarity with containerisation (Docker), CI More ❯

seeking a Senior Engineer with strong software experience and ambition to grow and develop their career. Responsibilities: Design and implement scalable, secure backend services to support a high-availability, data-driven SaaS platform operating in a regulated industry. Work primarily with Python to build microservices, automation tools, and backend logic, leveraging its rich ecosystem for data processing, compliance … workflows, and API development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated … testing, and peer code reviews, to ensure code quality, reliability, and auditability. Mentor and guide junior engineers, providing technical leadership and helping shape the team’s engineering culture and standards. Experience: Minimum 5 years’ experience working as a software developer in a commercial environment. Strong python programming experience. Experience of managing teams. Ability to effectively share knowledge of development More ❯

Business Analyst – Power BI | Outside IR35 Location: London once a week | | 6 month contract Why this role matters If you’re a hands-on Technical BA who thrives in data-heavy environments and wants to make a visible impact fast, this one’s for you. You’ll join a global insurance group that’s on a mission to transform … how it reports, visualises and uses data across its portfolio, bringing clarity to senior stakeholders and driving smarter business decisions. What you’ll be doing You’ll take the lead on gathering, defining and refining business requirements for Power BI dashboard projects within their Underwriting Programme. Working with teams across the UK, EU, and US, you’ll bridge the … gap between business needs and data engineering, shaping how group-level reporting comes to life. Expect to: Collaborate with PMs, architects, and data engineers (Power BI & Databricks stack) Translate complex data and business logic into clear, actionable user stories Design and validate visual concepts that help senior stakeholders see the bigger picture Bring structure, speed and More ❯