Data Engineering Jobs

• Birmingham
• Remote
• £90,000 – £110,000 pa
• Lead

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 and observability, plus shaping data strategy and growing into a leadership position.

AWS

• Cambridge
• Remote
• £90,000 – £110,000 pa
• Lead

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.

AWS

• Birmingham
• Hybrid · 2–3 days in office
• Director · manages people

Build an entire Data & AI function from scratch for a growing technology business, starting with data foundations, governance and reporting before moving into AI initiatives such as agentic AI and embedding AI into a customer-facing platform. Lead a new team of data architects and analysts, own the existing data migration team, and work with Product, Architecture and senior leadership to commercialise data and drive adoption.

Salesforce · Excel

• Newcastle upon Tyne
• Hybrid · 2 days in office
• £84,000 pa
• Senior

Own and oversee a business-critical enterprise data platform built on Microsoft Azure, acting as technical lead for architecture, scalability, governance and operational excellence. Work with Infrastructure, Security and Architecture teams on CI/CD, automation, monitoring and Infrastructure-as-Code, supporting production and incident management while enabling Data Engineers and shaping platform strategy across Data and AI initiatives.

Microsoft Azure · Azure Data Factory · Microsoft Fabric +5

• Edinburgh
• Senior · manages people

Designs, builds and optimises scalable data pipelines in Azure Databricks, Spark and Python to support actuarial modelling and assumption setting. Applies machine learning and advanced analytics, drives process reengineering and embeds controls for audit and risk assurance, while guiding and reviewing the work of junior team members.

Azure Databricks · Spark · PySpark +1

• Stirling
• Senior · manages people

Designs, builds and optimises scalable data pipelines that validate and transform policyholder data for actuarial modelling and assumption setting. Applies machine learning and advanced analytics where they add measurable value, using Azure Databricks, Spark, Spark SQL and Python/pyspark, while embedding governance and audit controls. Also guides and reviews the work of junior team members.

Azure Databricks · Spark · Spark SQL +1

• Australia
• Remote
• Mid-level

Customer-embedded delivery role deploying and optimising the Maia Foundation platform for enterprise clients, architecting production-grade integrations and distributed data systems in Python, SQL and APIs. Involves modernising legacy ETL/ELT workflows across AWS/Azure/GCP and Kubernetes, integrating AI APIs, and delivering solutions within 8-12 week Accelerator windows while working directly with customer executives.

AWS · Azure · GCP +5

• Newcastle upon Tyne
• Hybrid
• £50,000 – £65,000 pa
• Senior
• Permanent

Day-to-day you act as the SQL Server and T-SQL subject matter expert, tuning queries, managing indexes and schemas, and running backups, patching and disaster recovery. The role sits in a Support and System Reliability Engineering team focused on uptime, automation and security across Azure SQL and on-prem database infrastructure.

SQL Server · Microsoft Azure · Azure SQL Managed Instance +6

• London
• Entry level

New-grad engineers join a cohort to build infrastructure and products across backend, full stack, infrastructure, databases, systems, cloud and customer-facing teams. You own the full development lifecycle from design and testing to running services in production, with a dedicated mentor supporting your onboarding.

Databricks · Unity Catalog · Lakehouse +4

• London
• Hybrid
• £75,500 pa
• Senior

Designs, builds and optimises scalable data pipelines and processing systems for large volumes of clinical and genomic data, covering acquisition, transformation, lineage, metadata and de-identification. Works cloud-first in AWS using Python, Prefect, Tableau, Semarchy, Aspera and Globus, within the Generate Research Data service supporting the National Genomic Research Library.

AWS · Prefect · Tableau +7

• Bristol
• Hybrid · 3 days in office
• £80,000 – £85,000 pa
• Lead · manages people

Lead a team of data engineers while staying hands-on with complex data challenges, providing technical direction and coaching. Drive the migration and modernisation of legacy platforms into a Databricks lakehouse environment, building pipelines, models and curated datasets, and championing engineering best practice within Agile delivery.

Databricks · Spark · Tableau

• Sheffield
• Hybrid · 2 days in office
• £400 – £495 pd
• Contract

Lead technical delivery of governed data foundations for an Operational Resilience programme at a major banking group, building scalable pipelines and reusable data products on GCP/BigQuery. The role covers data quality, lineage, metadata and modelling to support MI, service dependency mapping and resilience scenario analysis, working in Agile teams with architects and business stakeholders.

GCP · BigQuery · JIRA +2

• Surbiton
• Hybrid · 1 day in office
• £95,000 – £100,000 pa
• Senior
• Permanent

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.

GCP · BigQuery · Dataflow +4

• United Kingdom
• £50,000 – £80,000 pa
• Senior

Lead the development of scalable data pipelines and integrate complex data sources into a modern cloud-based SaaS platform for commercial asset management. Work with Python, PySpark, Airflow, Kubernetes and Azure, with responsibilities spanning data platform management, stakeholder collaboration and technical mentorship. The role sits within a growing technology business consolidating financial, operational and leasing data.

Apache Airflow · Apache Spark · PySpark +5

• York
• Hybrid
• £350 – £450 pd
• Mid-level
• Contract

Builds and maintains data pipelines that collect, process and store data from Network Rail routes, applying validation, cleaning and governance so data is accurate and available. Works with the visualisation team to supply well-structured data, using FME, Microsoft Power Platform, SQL, Python and cloud services in an agile rail-sector team.

FME · Microsoft Power Platform · Azure +1