Work with Python, SQL, JavaScript/TypeScript, NumPy, Pandas/Polars, visualization libraries, and deep learning frameworks (PyTorch, JAX, or TensorFlow) to design and deploy full-stack data-driven applications and machine learning solutions. You will be embedded with Arsenal's Men’s First Team Analysis department, building tools that directly support coaching and analysis workflows.

Goldman Sachs★3.9 (2.3k)· London

Build a high-performance, low-latency data platform for post-trade processing using Java, Kafka, Flink, SingleStore, HDFS/S3, and Scala. You will own the full lifecycle of core systems, designing distributed computation and an AI-powered UI/agent framework to deliver intelligent analytics over large-scale business data.

A 12-month contract role in Waterloo requiring active SC clearance. You will design and deploy scalable ML algorithms, work with time-series data, and use Python, JavaScript, Java, React, and cloud platforms for an enterprise AI client.

You'll develop systematic HFT and market-making strategies in cryptocurrency markets using Python for research, signal generation, backtesting, and live performance analysis. Working with your own firm's capital, you'll own the full research lifecycle—from hypothesis to production deployment—optimising execution quality, latency, inventory risk and spread capture across global exchanges.

Kingfisher★3.8 (77)· London

Senior Implementation Analyst at Kingfisher, working with GA360, GA4, Google Tag Manager, Tealium iQ, JavaScript, Tealium EventStream, Google Marketing Platform, and Google Cloud. You will design and implement tagging and measurement strategies for digital platforms, partner with Product, Data, and Analytics teams to drive optimisation, and manage tracking across websites and mobile apps.

Amazon★3.5 (56k)· London

Develop generative AI and large models using Java, C++, Python, and Unix/Linux for Prime Video’s observability team, which combines log management, tracing, and AI-powered analytics to detect and diagnose issues at unprecedented speed.

SQL, MySQL, PostgreSQL, Doris Event, QuickSight, and possibly Amplitude, Mixpanel, GA4, Airbridge, Adjust, Airflow, dbt, Git or Python. You will own analytics schema, data models, and BI dashboards for ZYMIX, a Gen Z social super-app launching in the UK, bridging product analytics with data building.

You'll work with Trino, Iceberg, dbt, Airflow, Kafka, Python, SQL, Java or Scala to build and optimize data pipelines on a Lakehouse following Medallion Architecture (Bronze, Silver, Gold layers). You'll join Wise’s Data Onboarding Team, part of the Finance Squad that stewards the company’s financial truth by processing hundreds of millions of high-throughput financial events daily into audit-ready structures. The team abstracts product complexity into reusable, domain-agnostic stream-enrichment pipelines.

Senior Software Engineer II building data pipelines on Trino, Iceberg, Kafka, dbt, Airflow, and Python/SQL for a Finance Squad. The team handles high-throughput financial event data within a Medallion Architecture, creating reusable stream-enrichment pipelines to support financial reporting and assurance at a global money-transfer company.

Wise★3.5 (42)· London

Work with Trino, Iceberg, Kafka, dbt, Airflow, Python, SQL and Java/Scala to build streaming data pipelines on a Lakehouse using Medallion Architecture (Bronze/Silver/Gold). You will own data extraction, cleaning and modeling for the Data Onboarding team, which bridges product events and audit-ready financial structures for Wise’s global cross-border money movement platform.

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.

Fivetran★3.3 (8)· London

Senior Sales Engineer working with AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java, and databases like Oracle, SQL Server, Postgres, MySQL, and NoSQL. The role supports Fivetran’s Commercial sales team by understanding customer data replication needs and leading proof-of-value processes for the company’s automated data pipeline and transformation solutions.

APL Logistics★3.3 (685)· London

You will work with Microsoft Fabric, Azure, Power Platform, ETL/ELT pipelines, APIs, and relational databases. This Regional Applications Team role manages data requests for EMEA and Americas, delivering data warehouses, pipelines, and automations for supply chain business users.

UST★3.7 (1k)· London

Work with Snowflake, DBT, Azure Data Factory, Python, Azure DevOps, Git, and .NET/C#. Build, enhance, and operate enterprise-wide data platforms supporting operational, analytical, regulatory, and AI-driven business capabilities.

Connected Places Catapult★3.0 (2)· London

You will apply statistical analysis, machine learning, AI, and generative AI (LLMs, agentic workflows) using Python, and work with R, Java, Terraform, and C++. As a Consultant Data Scientist, you deliver digital and data solutions to accelerate innovation for public bodies and infrastructure providers in transport and the built environment. You operate within a project-based team under guidance of a Head of Applied Data Science.

You will work with Java, Spring, and MongoDB to build micro-services using Gitlab and DevOps practices. Your backend engineering role supports Goldman Sachs’ financial platforms for trading, sales, and asset management.

Goldman Sachs★3.9 (2.3k)· London

You will work on backend micro-service development using Java, Spring, and MongoDB. At Goldman Sachs, a global investment banking and securities firm, you’ll build scalable software, low-latency systems, and data-driven solutions for trading, sales, and asset management.

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.

IT Consultant role working on Agile/DevOps projects using Java, Object-Oriented, API, Python/Django, PostgreSQL, Pytest, and data science or financial systems tools. The consulting practice serves public and private sector clients, requiring client-facing project delivery, stakeholder engagement, and skill handover.

SavvyMoney★3.5 (2)· London

You will work with AWS Glue, Lambda, Step Functions, S3, Athena, Redshift, ECS, Spark, Java, and Python to build batch ETL pipelines and a cloud-native data platform. SavvyMoney provides integrated credit score and personal finance solutions to 1,600+ bank and credit union partners.

FDJ UNITED★4.0 (96)· London

You'll work with Oracle 19c+, SQL, PL/SQL, Power BI, AWS (Redshift, RDS, etc.), dbt, and optionally Kafka, Python/Java, and AWS services. As a Data Engineer in FDJ UNITED's Data Department, you'll build and maintain data pipelines and models to support reporting and analytics for a leading European betting and gaming operator.

You will work with Python, Java, and R, along with machine learning frameworks, libraries, and data modeling tools. Your role involves designing and optimizing self-running AI software and predictive models, analyzing huge volumes of data to automate predictions. No specific team size or project scope is mentioned.

You will use AWS Glue, Lambda, Step Functions, S3, Athena, Redshift, ClickHouse, and Amazon ECS to build batch and event-driven data pipelines for a financial technology company providing credit score and personal finance solutions. The work focuses on scalable ETL, analytical data modeling, and integration with Java-based backend microservices.

Work with Python, Java, SQL, Airflow, dbt, Spark, GCP and BigQuery to design and maintain scalable data pipelines, automate workflows, and support data modelling for analytics and A/B testing at a digital media group with a portfolio of content brands.