151 to 175 of 184 Data Engineering Jobs in the South East

transform how clients in nuclear, defence, water and beyond manage critical infrastructure. Work with the Best: Collaborate daily with a vibrant, multi-disciplinary team of consultants including geospatial experts, data scientists and engineers, sharing ideas and driving innovation across the globe. Cutting-Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure … Learning, thrive in dynamic teams and want to make a real-world impact with geospatial technology, we want to hear from you. The role will involve contributions across Geospatial & Data Engineering, AI & Innovation, and Collaboration & Leadership: Collaborating with Tetra Techs digital solutions teams across the globe. Leverage and fine-tune foundation models and AI/ML techniques to … Management Business Unit. Mentor colleagues in best practices and support them in identifying opportunities to apply technology for automation and workflow optimisation. Develop user-friendly tools and analyses, automating data ingestion, transformation, and loading using Python. Build reproducible workflows and apply software engineering best practices, including CI/CD and version control. Design, implement and optimise business Extract More ❯

We’re seeking a Lead Data Engineer to design and deliver scalable data and AI solutions across internal and client projects. You’ll own the full data lifecycle — from ingestion and processing to deployment and monitoring of machine learning models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines … cloud infrastructure (AWS/GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive innovation through proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We’re … Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or More ❯

is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium … Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform. Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are … people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview We're looking for a Senior Full Stack Developer who thrives on solving complex problems and building scalable, high-performance solutions. This is a hands-on role covering multiple layers of the stack—from More ❯

Active SC Candidate only Experience 10 Years with relevant 6-8+ Years Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks . Good proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data More ❯

Data Engineer - Azure Databricks/SC Clearance - Contract Active SC Clearance is required for this position Hybrid working - 3 days/week on site required Up to £520/day - Inside IR35 We are currently recruiting for a well experienced Data Engineer, required for a leading global transformation consultancy, based in London. The Lead Technical Developer will be … be well experienced in collaborating with cross-functional teams to deliver digital products. Key skills and responsibilities: Design, build, and maintain scalable ETL pipelines to ingest, transform, and load data from diverse sources (APIs, databases, files) into Azure Databricks. Implement data cleaning, validation, and enrichment using Spark (PySpark/Scala) and related tools to ensure quality and consistency. … Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines, resolve issues, and enhance data quality processes. More ❯

for the right candidate. A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability. This role … suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices. What you'll be doing: MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high … tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost. Knowledge Transfer: Act as the technical lead to embed MLOps standards More ❯

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content … do it all right here at Sky. As a Machine Learning Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists and Engineers to follow best practises … suite to enable automated re-training and scoring, making sure our business partners have a robust system to access scores for targeting. What you'll do Collaborate with our Data Scientists to enable them to also work within the Framework and prepare their models for production using various components. Act as a bridge between Data Science and Data 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 ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support … financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting … models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial More ❯

Simple Machines is a global technology consultancy that helps the world's leading enterprises engineer data, AI, and software to life. From designing intelligent data platforms to enabling enterprise-scale AI solutions, we combine technical depth with real-world execution to deliver measurable business impact. We operate across the UK, Poland, Australia, New Zealand, and the US, with … experience in full-cycle Technical Recruitment within Recruitment Agency, Technology Consulting and/or Professional Services. (must have proven tenure within technical recruitment) Must have extensive experience in Software Engineering (Java, JVM, Kotlin, Full stack/Backend/Frontend Engineers), Data Engineering and Delivery and Product Delivery roles. Proven success in identifying, engaging, and converting passive candidates … can manage 10+ pipelines and multiple interview schedules simultaneously without dropping detail. Highly autonomous — able to self-prioritise and deliver outcomes without constant direction. Deep understanding of technology roles (Data, Cloud, Software Engineering, Delivery, Product Management, DevOps, AI, etc.) Strong stakeholder communication — able to influence, push back, and manage expectations confidently. Proficiency in ATS/CRM systems (Workable More ❯

know why an ad works or doesn't work. We want to get under the skin of what engages and audience and moves them to action. We believe that data is key to the creative process and enables us to really celebrate excellence in advertising. Something not working is still a valuable data point, which we embrace, bringing … Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ability to collaborate effectively with cross-functional teams and manage project timelines. Exceptional … problem-solving skills and meticulous attention to detail. Deep understanding of data science fundamentals and experience with statistical analysis. Demonstrated experience in leading and mentoring technical teams. Preferred Skills (Bonuses) Experience with cloud computing platforms (GCP) and their AI services. Familiarity with front-end technologies for AI-driven application development. Advanced understanding of data engineering and the More ❯

of Privacy & AI Governance for the organisation. As the Global Head of Privacy & AI Governance, you will be responsible for overseeing and managing all aspects of privacy compliance and data protection within Keywords Studios, and for working with the business to continue building its responsible AI framework and strategy. You will provide strategic guidance and ensure adherence to global … regulations, working closely with cross-functional teams to establish and maintain robust privacy and AI programmes in a global setting. The ideal candidate will have a deep understanding of data privacy and AI laws and regulations, strong leadership skills, and experience working in a large multinational. Joining our team as the Global Head of Privacy & AI Governance offers an … exciting opportunity to be part of a globally recognised video games company at the forefront of innovation. If you have a passion for privacy, data protection, AI, and the gaming or technology industries, and you thrive in a dynamic and creative environment, we would love to hear from you. This role can be based out of any of these More ❯

Title: Data Scientist - AI Client: Home Office Rate: Up to £520 Contract: Inside IR35 Clearance: Active SC Clearance required (minimum 5 years' UK residency) We're seeking a skilled Data Scientist with AI experience to join a high-profile rogramme within a Central Government agency, working on advanced data and AI-driven solutions to support a mission … opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit … generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI services). Ability to handle, process, and analyse large, complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and 5 years' continuous UK residency . Desirable: Experience with MLOps or deploying ML models into production. Familiarity with More ❯

Join Savanta's Technology Team and Shape the Future We're looking for a talented AI/ML professional who lives and breathes data, models, and code. Savanta is a data, market research and advisory company with teams in the UK, Americas, and APAC. Working with high-profile organizations and some of the world's best-known brands … we Inform & Inspire our clients to Make Better Decisions through powerful data, empowering technology and high-impact consulting. Savanta is on a bold journey - transforming from a traditional market research firm into a tech-first, insights-driven leader. About the Role: You'll work at the intersection of research, engineering, and applied innovation, transforming ideas into intelligent systems … that deliver real business or research value. Lead model experimentation, evaluation, and creative prototyping. Implement and extend recent AI/ML research into functional systems. Operate across the stack: data pipelines, model training, API development, and intuitive interfaces. Introduce new tools, frameworks, and research directions to the team. Foster a culture of speed, curiosity, and experimentation. Enjoy autonomy, ownership More ❯

AI workflows integrated with Microsoft 365, Teams, SharePoint, Power Platform and Dynamics (or relevant practice management systems) Create custom Copilot plugins, AI prompts, knowledge connectors and RAG-driven intelligence Data & Fabric Integration Partner with data engineering teams to leverage Microsoft Fabric and OneLake for high-quality, governed data sources Ensure Copilot solutions integrate with organisational data … Microsoft 365 and Teams integrations Power Platform (Power Automate, Power Apps, Dataverse) Azure AI Services and Azure OpenAI Strong understanding of RAG architectures, knowledge search, document intelligence and enterprise data patterns Experience integrating AI solutions with CRM/ERP or case/practice management systems Soft Skills Excellent communication skills with the ability to simplify technical concepts Strong stakeholder More ❯

experienced Backend Software Engineer to join us permanently. Within this role, you'll be working in the cross-functional team in partnership with mobile, web and machine learning/data science teams to drive the team to success. Responsibilities: As a Backend Engineer within this team, you can expect to: Work closely with Product Managers, Designers, Data Scientists … mortems, architecture reviews etc. Collaborate on a daily basis with fellow engineers in the cross functional environment to solve problems and write code You'll own , code, workflows and data, through their entire lifecycle Documenting any feature development Desired experience: Writing high quality code in Scala, Java, Kotlin or another JVM language Experience building scalable applications serving 10,000s … complex problems independently, but also know when to seek guidance or help from your peers. Product-oriented mindset with a focus on solving real business problems rather than over-engineering solutions. Experience with iterative development using A/B testing Must haves: Solid software engineering experience. Strong evidence that you can learn our TypeScript and Scala stack effectively More ❯

and people with lived experience. Want to help a billion minds? Read on... And want to get a real feel for JAAQ? Look no further... Role Overview As an Engineering Leader you will be shaping the architecture, culture, and future of a platform designed to scale to millions of users, and to redefine how humanity interacts with knowledge and … a PR, review a design doc, or jump into a debugging session, but you lead through technical clarity, simplicity, and conviction. Key Responsibilities Lead and grow a multi-disciplinary engineering organisation across Experience, AI/ML, Data, and Cloud platforms, each designed to operate as part of a cohesive architecture. Set the engineering vision: define what "world … class" means in reliability, scalability, and developer experience. Build engineering as a craft: review design documents, inspect PRs, challenge assumptions, and elevate technical decision-making. Collaborate closely with Product, Design, and Clinical to ensure our technology is not just beautiful and fast, but clinically safe and ethically sound. Establish strong architectural and operational patterns: testing automation, observability, continuous delivery More ❯

retail execution At Neurolabs, we're helping the world's leading CPG brands unlock real-time visibility across the supply chain. Our Image Recognition technology is powered by synthetic data and digital twins, giving customers scalable, accurate insights — fast. No manual audits. No delays. No retraining. Just immediate visibility into what's actually happening in-store. We've built … teams to connect strategy with shelf reality. With easy integration and the fastest time to value in the category, we're not just digitizing audits - we're powering smarter, data-backed execution for global CPGs. We're looking for an Implementation Engineer to join our team and help bring our Visual AI product to life in real-world environments. … You'll play a key role in turning customer needs into scalable, reliable solutions — bridging product, engineering, and delivery. This is a role for someone who thrives on problem-solving, enjoys working hands-on with complex systems, and takes pride in making things work seamlessly for users and partners. Why this role matters Our technology only creates impact when More ❯

development. A robust understanding of relational databases and SQL is crucial, alongside expertise in traditional web application and API development. Skills and experience with agile, event-based architectures and data streaming technologies is also welcome. The candidate will be joining a team working on a greenfield project that will be used globally by UMG staff. It will involve use … end and shipping them successfully to production Nice to Have: Experience with NoSQL systems (e.g. mongodb, dynamodb, elasticsearch) Experience with front-end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience/awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong More ❯

Responsibilities: Own the day-to-day stability and performance of our Azure data platform (Synapse, Databricks, ADF, Power BI). Act as the primary point of contact for incidents and outages — driving resolution, root cause analysis, and clear stakeholder communication. Define, implement, and enforce SLAs for critical pipelines, datasets, and reporting assets. Run FinOps forums with business stakeholders to … improve cost transparency, accountability, and efficiency across the platform. Oversee CI/CD pipelines and deployments, ensuring reliable, safe, and compliant delivery of data platform changes. Champion monitoring, observability, and automation to detect and resolve issues proactively while reducing manual intervention. Develop and maintain operational runbooks, escalation protocols, and incident playbooks to strengthen resilience. Partner with data engineering and analytics teams to align operational strategy with business goals and future platform roadmap. Skills Required: Operational Leadership: Proven track record in leading operations for large-scale data platforms, ensuring stability, performance, and stakeholder trust. Incident & SLA Management: Skilled in incident triage, root cause analysis, escalation handling, and defining/enforcing SLAs with cross-functional teams. Azure Data More ❯

on varied, high-impact projects in a collaborative environment where your ideas and growth truly matter. Why this role? Be part of a growing, innovative consultancy combining business change, data, and software expertise. Work on a variety of projects - from building web apps to exploring low-code and automation platforms . Hybrid working: 3 days per week in a … RESTful APIs . Understanding of software testing principles , performance, and security best practices. Strong communication and problem-solving skills, and a willingness to learn. A degree in Computer Science, Engineering, or a related field. Nice-to-haves: Exposure to data engineering concepts such as ETL processes or integration pipelines. Experience with low-code development (Power Platform, Outsystems … Mendix). Interest in automation, data visualization, or digital transformation projects. Package & Benefits: Salary up to £55,000 , depending on experience. Hybrid working - 3 days per week in the London office , 2 from home. Private medical insurance. More ❯

and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting. Build scalable ML pipelines to process large volumes of financial data efficiently. Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data. Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods … risk analytics contexts. Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM. Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and cloud platforms (AWS, GCP, Azure). Able to build scalable ML … Works effectively with quants and stakeholders to translate financial requirements into ML solutions. Communicates insights clearly and aligns models with strategic business goals. Innovative & Analytical Mindset - Capable of developing data-driven approaches that complement traditional quantitative models and drive measurable impact in pricing and risk analytics. Job Offer A competitive daily rate up to £1200 per day (inside IR35 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 Requirements • 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 development, able to More ❯

A rapidly growing B2B SaaS company is looking for a Forward Deployed Data Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their vibrant Soho office). logy and delivery - adapting and deploying the platform for new clients, building custom data pipelines, and creating scalable AI workflows that bring real business … impact. What you'll do: Deploy and customise a powerful data platform for global clients Build and optimise pipelines using PySpark, Python, and SQL Design scalable AI workflows with tools like Palantir Collaborate with client teams to deliver data-driven outcomes What we're looking for: 2-4 years' experience in data engineering or analytics Hands More ❯

Job Post: Data & Analytics - Gen AI Engineer (Contract) A Leading Technology Consulting Firm Job Title: Data & Analytics - Gen AI Engineer Contract Duration: 6 Months+ Location: Primarily remote, with pre-agreed, company-covered travel if needed) IR35 Status: Inside IR35 Start Date (Approx.): November 2025 The Project: AI Transformation Initiative We are seeking a highly skilled and specialized Generative … Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants. Advanced Techniques: Apply sophisticated techniques like Prompt Engineering , Retrieval-Augmented Generation (RAG) , and context-aware pipelines to maximize model accuracy and relevance. Integration: Seamlessly integrate deployed AI models with existing enterprise systems, APIs, and data stores … Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on optimizing inference performance and cost (e.g., model compression, quantization, API optimization). Data Engineering for Generative AI: Experience in preparing and curating diverse training datasets (structured/unstructured text, images, code). Deep knowledge of data preprocessing, tokenization, and embedding More ❯