Cloud Computing Jobs

Nigel Wright Group · Sunderland · £55,000 – £65,000 pa

Migrate and transform data from M&A and legacy systems into a proprietary Gateway SQL database, building and optimising ETL/ELT pipelines with SQL and Python. Work with ADF, Azure Databricks or Microsoft Fabric, handling data mapping, quality validation, troubleshooting and performance tuning. Collaborate with BAs, DBAs and developers in a regulated financial services environment, with DevOps and CI/CD involvement.

Nebius · Germany; Israel; Netherlands; Prague, Czech Republic; Remote - Europe; United Kingdom

Owns the design, delivery and operation of complex data pipelines, datasets and platform components, turning ambiguous business needs into scalable data models and reliable data products. Improves data quality, observability, lineage and incident response, and mentors other engineers while participating in on-call. Works with Python, SQL and orchestration tools like Airflow, Prefect or Dagster.

Reperio Human Capital · Galway, Ireland · £388 – £431 pd

Designs data models and builds cloud data pipelines on Snowflake and AWS, collaborating with technical and business stakeholders to modernise a large analytics platform used for reporting, forecasting and planning. Requires strong dimensional modelling, SQL and production pipeline experience, with Git, CI/CD and automated testing; streaming, Terraform and financial services experience are desirable.

GCS · London · £600 – £850 pd

Hands-on contract role building and optimising enterprise-scale data pipelines with Python, Databricks, PySpark and SQL. You'll design ETL/ELT solutions, support Lakehouse architectures with Delta Lake, and work in Agile teams alongside architects and business stakeholders. Hybrid, three days a week in a Liverpool Street office.

TRIA · United Kingdom · £50,000 – £80,000 pa

Lead the development of scalable data pipelines and integrate complex data sources into a modern cloud-based SaaS platform. 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 commercial asset data.

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

Designs and develops scalable data pipelines within Snowflake, building ETL/ELT processes with SQL and Python and creating data models for reporting, analytics and AI use cases. Also migrates and integrates data from multiple source systems and tunes Snowflake workloads for performance and cost. Sits in a collaborative data team on a modern cloud platform.

Harnham - Data and Analytics Recruitment · Hounslow · £100,000 – £110,000 pa

Lead enterprise-scale data engineering initiatives, combining hands-on technical leadership with mentoring Data and Senior Data Engineers. Own the design, build and operation of secure, scalable data pipelines and products, drive best practice in automation, CI/CD and observability, and participate in an on-call rota supporting business-critical data products.

Harnham - Data and Analytics Recruitment · London · £110,000 pa

Lead technical direction across a modern cloud data platform built on AWS, Snowflake and dbt, staying hands-on while unblocking engineers on complex issues. Combine people leadership with stakeholder influence, coaching a team of engineers and shaping standards across a federated data function in a large global travel organisation.

SR2 · London · £600 – £625 pd

Lead a Central Government data engineering programme, building and maintaining scalable pipelines that stream data into downstream products. Split between hands-on development in Java or Python and technical leadership, setting engineering standards, guiding architecture and mentoring junior engineers. Stack centres on Kafka, Kubernetes, AWS, Terraform and CI/CD, with occasional onsite meetings.

CV-Library · Fleet

Hands-on technical leadership of an AWS-based data platform, setting strategy while designing solutions, reviewing architecture and code, and building batch and real-time pipelines. Owns data architecture, data quality and observability, drives IaC, CI/CD and automation, and mentors a team of data engineers alongside analysts and data scientists.

eFinancialCareers · London · £72,000 pa

Design, build and maintain data pipelines and ETL processes on AWS, using Python and SQL, while leading engineering teams from a technical perspective. Work with data architects, scientists and analysts on National Security and public sector programmes, translating client requirements into scalable data platforms and DataOps practices.

eFinancialCareers · Chester

Build and enhance an enterprise data platform ingesting and assuring large-scale communications, collaboration and transactional data for a regulated financial institution. Own the full data lifecycle, from streaming ingestion with Kafka and NiFi to transformation in Spark/PySpark and Hadoop/Hive, plus compliance control logic, reconciliation and observability. Work spans software and data engineering with Python, SQL, CI/CD and Azure tooling.

Tenth Revolution Group · London · £70,000 – £85,000 pa

Builds and maintains scalable data pipelines in Databricks, developing batch and streaming workflows and designing Lakehouse architectures with medallion models. Works alongside data scientists, analysts and product teams in a cloud-first Azure environment, implementing data quality, monitoring and governance while driving engineering best practice through code reviews and technical standards.

Adria Solutions · Manchester · £70,000 – £90,000 pa

Hands-on lead role owning an existing data estate and building a modern, scalable platform supporting BI, Data Science and Applied AI. Involves modernising SQL Server, SSIS/SSDT and Power BI, developing batch and real-time processing, lakehouse architecture on AWS, and line-managing a small team of Data Engineers.

Nebius · London

Builds and operates a multi-tenant distributed data platform based on YTsaurus, writing core C++ for storage, scheduling and dynamic tables. Works end-to-end on platform features, performance and reliability, including on-call, with Go and Python for services and tooling.