Data Engineering Jobs

Tenth Revolution Group · London · £80,000 – £110,000 pa

Design and build scalable cloud-based data platforms on AWS, creating robust ETL/ELT pipelines and data services to support enterprise clients and AI initiatives. Develop analytical datasets, dashboards, and trusted data products while establishing data governance, quality, and observability standards. Collaborate with Product, Engineering, and Data Science teams to shape long-term data architecture and influence strategic decisions in a high-growth environment.

Tenth Revolution Group · London · £50,000 – £60,000 pa

Builds and evolves a modern cloud-based data platform, designing scalable Snowflake pipelines and ETL/ELT processes in SQL and Python. Creates data models supporting reporting, analytics and emerging AI use cases, while optimising workloads for performance and cost. Works in a collaborative engineering team with AWS, Azure or GCP, integrating data from multiple source systems.

Databricks · London

Customer-facing engineering role owning architecture and design decisions while building production-grade data, AI and application systems on the Databricks platform. Works embedded with client teams from technical ICs to executives, spanning data engineering, ML/AI integration, distributed Spark workloads and cloud ecosystems, with roughly 20% travel.

Databricks · London

Founding backend engineer role building the Lakebase managed Postgres transactional layer, spanning control plane, proxy data path, and platform reliability. Work covers large-scale distributed systems, high-throughput connection handling, and AI-powered automation to meet SLIs and SLOs across AWS, GCS, and Azure storage.

Snowflake · London

Customer-facing pre-sales role partnering with account sales teams and channel partners to run demos, proofs of concept and technical evaluations of Snowflake's data cloud platform. You'll present to executives and technical audiences, build technical champions, and collaborate with product, engineering and partners, with SQL required and Python, dbt and Spark preferred.

Snowflake · London

Customer-facing technical role partnering with account sales teams and channel partners to run demos, proofs of concept and implementations of a cloud data platform. You translate features into business solutions for technical and executive audiences, build technical champions, and collaborate with product, engineering and marketing. Hands-on SQL work with data architecture and analytics.

eFinancialCareers · Edinburgh

Hands-on engineering role building and running multi-cloud AI and data platforms, delivering production services, APIs, automation and infrastructure as code. Applies AI and agentic capabilities to platform operations, provisioning, access management and remediation, with responsibility for resilience, observability, governance and measurable outcomes alongside product, security and business teams.

eFinancialCareers · Stirling

Hands-on engineering role building and running multi-cloud AI and data platforms, delivering production services, APIs, automation and infrastructure as code. Applies AI and agentic capabilities to platform operations, provisioning, access management and remediation, while owning resilience, observability, governance and measurable outcomes alongside product, security and business teams.

Adecco · London · £600 – £650 pd

Designs, builds and supports end-to-end ETL integrations from source systems into Oracle ERP, primarily General Ledger, using IBM DataStage and Azure Data Factory. Leads technical architecture for an on-prem to cloud migration and cloud consolidation, building large-scale batch and real-time pipelines with Databricks, ADLS and Azure SQL. Works in an Agile team alongside architects, analysts and business stakeholders.

Randstad Technologies Recruitment · Basildon · £75,000 – £80,000 pa

Designs and builds end-to-end ETL/ELT pipelines and data models on Snowflake, covering staging, integration layers and data marts. Develops production-ready dbt models, maps source data to target structures and tunes query performance, materialization and clustering. Works on-site with analytics, engineering and platform teams across the EMEA Data Solutions domain.

Exalto Consulting · Surbiton · £95,000 – £100,000 pa

Hands-on role designing, building and optimising scalable data pipelines and modern architectures on Google Cloud Platform, working with BigQuery, Dataflow, Cloud Composer/Airflow, Pub/Sub and Cloud Storage. Joins a growing in-house data engineering function at an early stage, shaping engineering best practice and collaborating with analysts, engineers and business stakeholders on large-scale datasets.

ZENZO DIGITAL · Peterborough · £55,000 – £62,000 pa

You will maintain and optimise on-prem SQL Server and Oracle databases while leading the migration of workloads to a Snowflake cloud platform. The role blends DBA-style support, advanced SQL tuning, and building scalable ETL/ELT pipelines, acting as the go-to technical specialist across Data & Tech, operations and suppliers.

Palantir Technologies · New York, United States · US$135,000 – US$200,000 pa

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates like a hands-on AI startup CTO in small teams, delivering high-stakes projects and feeding field learnings back into the AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.

Datatech · Berkshire · £55,000 – £67,000 pa

Owns the end-to-end data journey for a financial services business, building Azure Databricks pipelines with PySpark, SQL, ADF and ADLS Gen2, and governed lakehouse solutions using Delta Lake, medallion architecture and Unity Catalog. Also owns Power BI semantic models, DAX measures and row-level security, translating marketing and contact-centre requirements into trusted metrics while mentoring colleagues and improving engineering standards.

Harnham - Data and Analytics Recruitment · London · £60,000 – £65,000 pa

Lead client-facing analytics engagements, translating business challenges into analytical solutions and presenting insights to technical and non-technical audiences. Work with large complex datasets, developing SQL-based solutions and scalable reporting frameworks, and building dashboards in Tableau, Looker or similar BI platforms. Collaborate with data, engineering and consulting teams while managing project timelines, risks and governance.