Work with Microsoft Fabric (Lakehouses, Warehouses, Dataflows, Pipelines), Azure (SQL, Data Lake, Data Factory), SQL, Python, and REST API/SFTP to build ETL/ELT solutions. You will deliver modern data integration solutions for a diverse portfolio of clients within RSM’s Global VAT Team.

Cint★3.5 (13)· London

Use Python and SQL for statistical modeling and machine learning to optimize Cint's programmatic research marketplace (Cint Exchange). You will analyze marketplace dynamics, conduct A/B tests, and build predictive models to guide product and pricing strategy.

Design, build and optimise ETL data pipelines using Databricks, PySpark, Python, and SQL for a leading global investment bank. You will work on large-scale enterprise data platforms in a fast-paced financial services environment.

SmartestEnergy★4.1 (15)· London

You will work with Microsoft Azure Data Platform, Microsoft Fabric, PySpark, SQL, Python, Azure DevOps, CI/CD, and Power BI to build enterprise-scale data pipelines and Data Lakehouse/Data Warehouse solutions. The team develops modern cloud-based data solutions supporting ETL/ELT processes across Medallion Architecture for SmartestEnergy’s energy digitisation and decarbonisation goals.

Work with Microsoft Azure Data Platform, Microsoft Fabric, PySpark, SQL (T-SQL and Spark SQL), Python, Azure DevOps, and Power BI. You will build enterprise-scale data pipelines and support Data Lakehouse and Data Warehouse solutions for SmartestEnergy, a global energy company.

Build and own the machine learning models (propensity, uplift, contact strategy) that decide who, when, how often, and on which channel (voice, WhatsApp, email, SMS) Murphy's AI agents contact debtors to maximize recovery within legal limits. Work in Python, TypeScript, AWS, and PostgreSQL; design, run, and ship A/B tests and bandits on live traffic.

Bloomberg★3.8 (1.1k)· London

You will work with Python, SQL, PySpark, Pandas, NumPy, Airflow, dbt, Kafka, Iceberg, Trino, Superset, and data visualization tools. The Entity Data team manages core entity data for over 7 million public and private companies, supporting reference data and private markets; as Data Quality Manager you define and execute the quality strategy.

McKesson★3.5 (7.7k)· London

Senior Data Engineer: Snowflake, dbt, Airflow, ADF, Python, Databricks, Azure, AKS, Infrastructure as Code, CI/CD. You will own and build the ClarusONE data platform, designing scalable pipelines and establishing engineering standards for reliability, security, and compliance.

Senior Data Engineer role owning the ClarusONE data platform, building pipelines with Snowflake, dbt, Airflow, ADF, Python, and managing IaC on Azure/AKS. You will establish engineering standards, ensure data lineage and governance (SOX), and collaborate with Analytics, Data Science, and Software Engineering teams.

Work with Microsoft Fabric, Azure, SQL and PySpark on building modern data platforms and scalable ETL/ELT pipelines. The role is part of a large organisation undergoing a significant data transformation, developing data products and integrating source systems.

You will use SQL, Python, Spark/PySpark, Pandas, orchestration tools, AWS/Azure platforms (Databricks, Redshift, Microsoft

Databricks★3.0 (21)· London

You will work with Python, Scala, JavaScript/TypeScript, Apache Spark, and cloud ecosystems (AWS, Azure, GCP) to build production-grade data and AI solutions on the Databricks platform. In this hands-on role, you lead architecture and design decisions while embedding with customer teams to deliver end-to-end data pipelines, ML/AI models, and user-facing applications.

Design, build and evolve modern data infrastructure using Python, PySpark and SQL, with Snowflake or Databricks on AWS, plus orchestration tools and CI/CD. Your work powers SaaS solutions that help financial institutions solve operational and compliance challenges.

You will work with Azure Databricks, PySpark, Python, SQL, Delta Lake, Structured Streaming and CI/CD tooling on a multi-year programme migrating Oracle data platforms to a cloud-native platform. The project supports Endur, global reporting, analytics and risk management for a leading global energy trading organisation while reducing latency to near real-time.

You will work with Python, PySpark, SQL, and Azure Databricks to build predictive models and scalable analytics pipelines. This is a contract role on a digital transformation programme focused on developing innovative products on a large-scale UK healthcare data platform for population health management.

McKinsey & Company★4.2 (952)· London

You will work with AWS (S3, Lambda, Glue, Snowflake), Python, SQL, Tableau, Git, Databricks, and PySpark. As part of McKinsey’s Transformatics team, you will build cloud-based data platforms and ingestion pipelines to power analytics and machine learning for the Wave SaaS product. You will collaborate with a geographically distributed team of data engineers, data scientists, and project managers.

Sainsbury’s★3.5 (16k)· London

In this Senior Data Engineer role you will design and build scalable data pipelines and platforms using PySpark or PyTorch on AWS EMR, Snowflake, Docker, Airflow, Kubernetes, SQL/NoSQL databases and CI/CD with GitHub Actions. You will partner with Data Scientists to make data reliable and production-ready for machine learning solutions, and mentor junior and mid-level engineers.

Work with the Databricks Data Intelligence Platform, Spark, PySpark, Python, Java or Scala, and major public cloud platforms (AWS, GCP, Azure). As a pre-sales engineer, you will demonstrate how Databricks' unified data and AI platform helps customers solve complex data challenges, collaborating with Account Executives and Senior Solutions Architects.

Work with Python, PySpark, Spark SQL, T-SQL, Delta Lake, Databricks, Azure Data Factory, and Power BI/Fabric. In Telefónica Tech’s Data Office, you design and build analytics data products across the full platform lifecycle while leading a small engineering team.

Senior Data Engineer role using Python, Databricks (Workflows, Delta Lake, Lakehouse), Spark/PySpark, SQL, and cloud platforms to build and optimise enterprise-scale data pipelines for a major global banking organisation investing in data and analytics.

Head of Quality Engineering to own quality across the organisation, working with PHP, Kotlin, GO, Python, Typescript, React, React Native, GraphQL, Relay, PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6, Datadog, Sentry, Incident.io, Grafana, AWS, Docker, Kubernetes, RabbitMQ, Argo, Github, and Github Actions. The role will lead the use of AI (LLMs) for testing and will manage a team of approximately two Quality Engineers while being hands-on with code and CI pipelines. Lendable builds technology for consumer credit and savings products.

Cushman & Wakefield★3.6 (2.3k)· London

Senior Data Engineer role using Databricks, Python, PySpark, SQL, Azure, and Unity Catalog. You will build an AI-amplified data platform for a global real estate services firm, shifting the team from writing code to orchestrating AI. Hands-on role with influence on technical direction.

You'll work with Google BigQuery, dbt Core, Airflow, Airbyte, GitHub Actions, ThoughtSpot, Colab/Jupyter and Python. Apolitical builds products for public-sector professionals. You'll model warehouse data, define metrics, ship dashboards and own the analytics stack end-to-end as an individual contributor.

Use PySpark, Python, SQL, Azure Databricks, Data Factory, ADLS Gen2, and Delta Lake to design data pipelines and Kimball models on a cloud lakehouse migration project. The platform leverages Medallion Architecture to supply clean data for Power BI and machine learning, following CI/CD and automated testing.

You will work with Databricks, Neo4j, Python, FastAPI, Spark/PySpark, SQL, and cloud-native platforms. The role focuses on building graph-driven data platforms and backend data services for advanced analytics and knowledge graph use cases at Acuity Analytics, a data and digital transformation solutions provider.