Average Data Engineer salary in South West London

Join a world-leading cybercrime SaaS organisation in an urgent, vital Data Engineer role to help build, improve and maintain their vast data estate which leveraging the data for problem-solving. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces amongst others, they are very much in 'scale up’ mode and are looking to advance their capabilities, increase the quality of their offering and evolve their platform. Required experience for the Data Engineer role: Strong background as a Data Engineer / Data Architect / DataOps Engineer with a strong focus on automation, security, performance and observabilityExperience using OpenSearch or Elasticsearch based search engines to design and deploy webscale SaaS solutions in high-volume environmentsExperience managing MongoDB clusters for high-availability and scalabilityAWS managed data service experience and experience with AWS cost management and optimisation The package offered to the Data Engineer will consist of a salary of up to circa £90,000 with a fully remote working set up (expenses paid for when occasional travel to one of their offices is required), and benefits including a generous holiday allowance as well as additional paid days off for volunteering, private healthcare, enhanced parenting leave and more. Franklin Bates is a leading IT recruitment consultancy specialising in Software Development, AI, Cybersecurity, Cloud, & Data. We provide high quality contract, interim and permanent IT professionals to a broad range of technology companies within the UK.

Principal Data Engineer£95,000 - £105,000 + BonusPermanent - London / Bristol or Leeds (Hybrid) A top-tier global consultancy is in search of a Data Engineer (Principal Consultant) to drive the delivery of cloud-native data platforms across complex, high-impact environments. This is a standout opportunity to join a fast-growing consulting team where you’ll lead technically, shape strategy, and support business development efforts across public and private sector clients. If you’re passionate about data engineering, experienced in building practices and winning new work (RFI/RFP), and want to work in an organisation that values creativity, autonomy, and technical excellence — this could be the one. What you’ll do as a Principal Data Engineer: Lead the architecture and build of modern data platforms using AWS-native tools (S3, Redshift, Lambda, Glue, DynamoDB, Matillion, etc.).Drive best practices in CI/CD, Infrastructure-as-Code, and data ops methodologies.Liaise directly with clients to define requirements, shape technical solutions, and oversee successful delivery.Contribute to practice growth through recruitment, coaching, and mentoring.Lead business development activities including RFI/RFP responses and proposal development.Ensure solutions are secure, scalable, and production-ready.Be an advocate of clean code, DevOps, and hands-on engineering leadership. Skills you’ll bring as a Principal Data Engineer: Extensive experience with AWS data services (Redshift, Glue, S3, etc.).Hands-on with ETL/ELT using Matillion or similar tools.Strong Python and SQL skills, with a good understanding of data formatsDemonstrated experience in designing data lakes, data pipelines, and metadata management.Solid understanding of CI/CD pipelines, infrastructure automation, and agile delivery.Background in consulting, including stakeholder engagement and client-facing delivery.Proven success in responding to RFI/RFPs and shaping go-to-market propositions.Must be SC Clearable (or currently hold SC Clearance).Experience in practice/team building is essential. The Package: £95,000 - £105,000 base salaryCompany bonus schemePension contributionPrivate healthcare and medical insurance Contact Connor Smyth at Anson McCade or hit apply below to find out more.

You must have to ability to lead by example and grow a talented team, build a world-class engineering culture, and work hand-in-hand with our commercial and product teams to deliver ML/AI-powered tools that solve real-world problems in capital markets. Required Experience: 5 years+Been part of tech start-up or worked for known technology companyHas scaled up teams from small to largeBuilt production ready pipelines and productStrong all-rounder across technology fields (e.g. model deployment across cloud, API, AWS architecture, model fine-tuning / creation) What You Will Be Doing Always a key tech contributorOffering leadership to current teamWorking in a technical team of 6Taken responsibility for product quality and deliveryDeep technical fluency across Python, distributed systems, cloud infrastructure (AWS preferred), and scalable architectures.Strong understanding of Agile development, continuous delivery, and lean team dynamics. Tech We Work With: Python, React, JSAirflow, Docker, Kubernetes, Postgres, Slurm, Glue, ECS, AWS BatchTransformers, LLMs, Fine-Tuning, Prompt PipelinesReal-time data pipelines & scalable APIs