You’ll build and maintain scalable data pipelines and implement observability, monitoring, and data quality checks using Python, SQL, shell scripting, containerization, and IaC tools (with Scala/Java preferred). You’ll support AI/ML-driven financial technology platforms at a global fintech company, collaborating with product engineering, data science, and business teams.

You will work with Databricks, Azure SQL, Azure Data Factory, Python or PySpark, and advanced SQL to build and maintain ETL/ELT pipelines. The role supports a large-scale data platform migration project moving workloads from Azure SQL to Databricks as part of an established data team.

You will work hands-on with Azure, Databricks, and SQL, building scalable ELT pipelines and Lakehouse architectures. You will operate as a senior individual contributor on a major enterprise data platform transformation for a global mining company.

You'll work with Python, SQL, Azure or AWS, Databricks/Snowflake/Redshift, Airflow/Azure Data Factory/Prefect, and dbt/Kafka/Terraform. The role builds and optimises cloud-based data infrastructure supporting analytics, reporting, and future AI initiatives for a fast-growing technology company.

Python, SQL, Apache Spark, Airflow, Azure Data Factory, Docker, and Kubernetes. You will design, build, and maintain data-driven applications, integrating with data lakes, lakehouse architectures, and enterprise databases for large-scale analytics systems.

You'll work with Python, SQL, ETL/ELT, FastAPI, and AI/LLMs to build a mission‑critical Data Migration Platform that connects to legacy CRMs and onboard financial agencies at scale.

Write Python and FastAPI to build a real-time intelligence platform for private markets, used by venture capital and private equity firms to analyze live data and make faster investment decisions.

Low Carbon Contracts Company★4.4 (7)· London

The role uses Python (preferably PySpark), SQL, Azure (Data Factory, Synapse, Databricks, ADLS), and other cloud platforms. The team develops and maintains LCCC’s data warehouse, data pipelines, and governance artefacts to ensure reliable, integrated data for reporting.

Senior Data Engineer role at a private equity real estate firm, building cloud-based data pipelines and ETL processes using SQL, Python, Snowflake, AWS/GCP, and APIs. You'll integrate internal and external data sources, develop analytics solutions supporting investment decisions, and mentor two junior engineers while owning technical delivery.

Harvey Nash★3.8 (49)· London

SQL, Snowflake (or similar), AWS (S3, Lambda), Tableau/Power BI, and Python. You'll build and maintain data pipelines and integrations as a mid-level Data Engineer within a blended team at a global Media & Entertainment company.

You’ll build scalable data pipelines and engineering solutions using Python, SQL, AWS/Azure/GCP, Spark, Kafka, Airflow, and CI/CD for a technology consultancy delivering secure, data-driven analytics and intelligence projects.

Wise★3.5 (42)· London

Work with Python, dbt, Airflow, Kafka, Trino, and Iceberg to build high-volume streaming and batch data pipelines. You'll join the Marketing Platform team to drive data architecture for Wise’s global customer-acquisition engine, bridging platform and analytics engineering.

Barclays★3.9 (6.9k)· London

The listing does not specify any concrete technologies, languages, or tools. You will join the Liquid Financing Technology team, building and enhancing data solutions for a modern cross-asset Client Risk platform used by Front Office, Risk, Finance, and Operations teams to monitor exposures, assess risk, and meet regulatory requirements.

Beamery★4.0 (1)· London

Architect Beamery’s data platform using dbt, BigQuery, Kafka, PostgreSQL, MongoDB, Typescript/Node.js, Kubernetes, Python, and Segment. The platform powers reporting and AI strategy for a skills and talent lifecycle management system. This is a senior individual contributor role setting long-term technical direction.

Beamery★4.0 (1)· London

You will work with dbt, BigQuery, Kafka, PostgreSQL, MongoDB, Kubernetes, Python, and TypeScript/Node.js to build production ETL pipelines and an analytics layer. The data platform powers Beamery’s reporting and AI strategy, serving the company’s jobs, skills, and tasks data platform for talent lifecycle management.

Transport for London★4.0 (429)· London

You'll use C#, Python, R, C++, Unity, R Shiny, Vissim, and Visum. This Network Performance team builds 3D simulations, dashboards, and data pipelines to communicate complex transport analytics for London initiatives like Superloop.

Pipedrive★4.2 (5)· London

You will lead marketing analytics at Pipedrive, a CRM software company, using Python or R, SQL, and dbt to build Marketing Mix Models, incrementality testing frameworks, and statistical models like LTV prediction and churn scoring. You will architect the marketing data layer and shape the long-term data stack roadmap.

You'll work with SQL, Databricks, Python, GA4, Google Tag Manager, and Salesforce. Building scalable marketing data pipelines and a centralized platform to connect CRM and marketing systems, enabling attribution and campaign measurement for a global company undergoing digital transformation.

You will work with Python, AWS Bedrock, LLM APIs, MCP, Kiro, Git, and CI/CD to build AI agents, knowledge bases, and production automation. The role involves developing Model Context Protocol servers, custom agents, and steering prompts for a data-driven project at a global consultancy.

You will work with Python, C++, LLMs, deep learning frameworks (TensorFlow, PyTorch, JAX), optimisation methods, reinforcement learning and generative models. The team applies AI to semiconductor design and optimisation while conducting fundamental research for internal use and the scientific community.

Principal researcher role using Python, C++, and frameworks like TensorFlow, PyTorch or JAX, with focus on LLMs, optimization, reinforcement learning and generative models. The research team applies AI to semiconductor design and fundamental research for internal and scientific community. Leadership duties include shaping research strategy and mentoring senior researchers; no team size specified

You'll work with Python, LLM frameworks (LangChain, LangGraph), MLflow, and cloud ML platforms (GCP Vertex AI, AWS SageMaker) to build models and pipelines for Compare the Market's AI platform, powering insurance pricing, customer predictions, and personalisation.

Deloitte★3.9 (14k)· London

You will work with Azure (ADF, Synapse, Fabric, ADLS Gen2, Cosmos DB, AI Search), Python, SQL, and CI/CD/DevOps. You join Deloitte's Digital Innovation team to build end-to-end data pipelines and enable AI/GenAI use cases for Tax & Legal stakeholders.

Design and scale low-latency backend systems using Python, Go, or Rust, with streaming pipelines (Kafka, Flink, Spark), SQL/NoSQL data systems, and cloud infrastructure (AWS/GCP, containers, CI/CD). The team builds real-time security infrastructure that detects risk and prevents attacks inside transaction flows for wallets, exchanges, and fintech platforms.

Snowflake★3.7 (31)· London

Senior Solution Engineer at Snowflake supporting UK customers, using SQL (and ideally Python) to demonstrate Snowflake’s data cloud and AI capabilities. The role involves hands-on demos, proofs of concept, and collaborating with sales teams, partners, and product management to solve complex data challenges.