Data Engineering Jobs

Palantir Technologies · New York, United States

Builds the lowest layers of Palantir's Foundry and Gotham platforms, working on database technologies, distributed systems, large-scale data, security and application infrastructure. Engineers design opinionated APIs, automate systems like Cassandra, Kafka and Kubernetes, and may join a short-term Frontline rotation embedded with customers.

Palantir Technologies · Washington, United States · US$145,000 – US$155,000 pa

New-grad engineers join Palantir's Production Infrastructure org, contributing code to Kubernetes-based platforms like Apollo, Rubix and Signals, spanning hundreds of production clusters. You own the full product lifecycle with a dedicated mentor, working alongside product and deployment teams on mission-critical government and defense workloads.

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.

Harnham - Data and Analytics Recruitment · London · £100,000 – £120,000 pa

Hands-on data engineering lead designing scalable, AI-ready data platforms and architectures across an investment firm's portfolio. Combines building end-to-end infrastructure in SQL and Python with advising C-suite teams on data strategy, prioritisation and commercial impact, working tech-agnostically across varied environments.

Harnham - Data and Analytics Recruitment · Leeds · £50,000 pa

First dedicated data engineering hire in a growing data function, designing and maintaining scalable ETL/ELT pipelines and integrating internal and external sources including APIs. Builds and optimises data models for analytics and customer insight, working in cloud environments and helping evolve Microsoft Fabric capabilities alongside data science and analytics teams.

Tenth Revolution Group · Cambridge · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

Tenth Revolution Group · Reading · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

Reperio Human Capital · Dublin, Ireland · £431 – £474 pd

Lead a combined data and analytics engineering function, owning technical strategy, architecture and delivery on a Microsoft Fabric platform from ingestion through to semantic layers. Set modelling and documentation standards in the data catalogue, manage platform reliability, scalability and cost, and work with BI, Reporting and Data Governance teams. Initial six-month contract with hybrid working.

Opus Recruitment Solutions · London · £600 – £650 pd

Design and build scalable Snowflake data pipelines and cloud-native platforms on AWS, including resilient document ingestion for unstructured healthcare records. Develop ETL frameworks to transform clinical data into analytics-ready datasets while meeting GDPR and healthcare governance standards, using Snowflake Cortex, Python, SQL, dbt, Airflow and Terraform.

Datatech · London · £80,000 – £90,000 pa

Build and lead a new data engineering function at a scaling AI-powered SaaS business, owning engineering standards, tooling and delivery practices. Stay hands-on with SQL transformation pipelines, Python orchestration, data modelling, CI/CD and production reliability, while line-managing and developing engineers and integrating AI outputs into production pipelines.

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.

AECOM · Manchester

Lead the UK workstream of a regional digital advisory and consulting practice, growing the business and managing a team delivering data strategy, governance and transformation engagements. Work spans data maturity assessments, architecture evaluations, cloud data platforms and bid leadership across water, energy, defence and transport clients.

Corriculo · Birmingham · £35,000 – £45,000 pa

AI and Automation Engineer, Power Automate, Python, REST APIsAn AI and Automation Engineer opportunity has emerged with a well-regarded UK business, sitting within a collaborative Data and Analytics team and playing a central part in how the organisation harnesses technology...

Forsyth Barnes · Nottingham · £60,000 – £65,000 pa

Designs and delivers Power BI dashboards, semantic models and ETL/ELT pipelines across a Snowflake, SQL and Python environment, supporting operational and commercial decisions in vehicle rental and automotive services. Combines hands-on engineering with stakeholder engagement, data governance and exploration of automation and AI-enabled analysis.