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.

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.

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.

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.

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.

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.

Design, develop, and optimize data pipelines using SQL, Python, Scala, Java, or Spark, along with ETL/ELT tools like Azure Data Factory, AWS Glue, and Apache Airflow, on cloud platforms such as Azure, AWS, or GCP. You will work with databases (SQL Server, Snowflake, MongoDB), big data technologies (Spark, Kafka, Databricks), and orchestration tools to build scalable cloud-based data platforms supporting enterprise analytics and machine learning.

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.

Design, build and optimize scalable data pipelines, ETL/ELT processes, and cloud-native data platforms using Microsoft Azure, AWS, or GCP, with tools like Apache Airflow, Azure Data Factory, or AWS Glue, and big data technologies including Apache Spark and Databricks. This London-based senior role partners with data scientists, analytics, and software engineering teams to support enterprise reporting, analytics, and machine learning initiatives.

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.

Python (Pandas), SQL, Java for data pipelines, and Business Intelligence tools are used. The role involves data wrangling, cleaning, visualization, hypothesis testing, and statistical inference, with deployment in secure/restricted environments for IT WORLD LIMITED.

You will work with Microsoft Azure, Azure Data Factory, Talend, Power BI, Tableau, Python, Java, JavaScript, CI/CD tools, and AI tools like Claude. As part of a data and AI consultancy, you will design modern data platforms and build ETL/ELT pipelines for clients across various industries.

Goldman Sachs★3.9 (2.3k)· London

You will work with Java, JVM tuning, Linux, low-latency messaging, and concurrent programming on the Systematic Market Making team. The team builds automated trading strategies and electronic trading tools for Fixed Income, Currencies

UBS★3.8 (2.5k)· London

You will work with Python, Airflow, Prefect, Azure (AKS, EventHub, Terraform), Delta tables, DuckDB, Apache Spark, PostgreSQL, KDB, Docker, Kubernetes, JupyterHub, PowerBI, Streamlit, Marimo, and Java. You will lead the Credit Principal Algo Data team within UBS Global Markets, building and enhancing the trading analytics platform for automated eCredit trading.

Beamery★4.0 (1)· London

Beamery’s Data Engineering Team builds a self-service reporting and AI data platform, ingesting multiple sources into centralized infrastructure. The Senior Data Engineer leads ETL pipeline and analytics layer development, mentors engineers, and shapes the platform underpinning the company’s talent lifecycle management solutions.

As a Kdb+/Q Engineer at Citadel Securities, you will design and build high-performance data and analytics platforms using Kdb+/Q, Python/Java/C++, and Linux/distributed systems for real-time and historical market data that power trading and quantitative research globally. You will collaborate with traders, researchers, and engineers on scalable solutions for large-scale market data and time-series analytics.