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.

As a Senior Java Engineer, you will work with Java, Oracle, Hadoop, Elasticsearch, and LLMs (Llama, ChatGPT) to re-architect a tier-one bank's capital markets workflow engine, integrating AI to scale from hundreds to thousands of concurrent users handling massive daily transaction volumes.

You will work with Scala or Java, SQL, RDBMS, Apache Hadoop, and ANT on core backend development. The EMEA Reference Data team builds shared enterprise platforms for a global bank, supporting critical regulatory programs and international transactions.

HCLTech★3.7 (11k)· London

Work with Quantexa Decision Intelligence Platform, Spark/PySpark, Python/Scala, and Big Data (Hive/HDFS) to design and develop data ingestion, transformation, and ETL pipelines. Focus on entity resolution, network analytics, and graph-based data models for analytics use cases.

NatWest Group★3.7 (1.2k)· London

You'll work with Mainframe hardware (DASD, SAN/FICON, IBM z), automation scripting (Python/Shell), infrastructure as code, GDPS, and CI/CD pipelines. As part of NatWest Digital X, you'll engineer hardware solutions for the Mainframe environment, applying automation to improve products. This technical lead role guides a team but no team size is specified.

Design and develop solutions on the Quantexa Decision Intelligence Platform, building data ingestion and ETL pipelines with Spark/PySpark, and using Python/Scala. The role involves entity resolution, network analytics, graph-based data models, and integrating structured/unstructured data, working with the Big Data ecosystem (Hive/HDFS).

Design, configure and manage Mainframe Hardware solutions including DASD, SAN/FICON connectivity, and network infrastructure, using automation scripting (Python or Shell). You will engineer infrastructure-as-code for the Mainframe environment at NatWest Digital X, supporting hardware migrations between IBM z Mainframes and GDPS architectures. This is a technical lead role.

Work with Azure and AWS cloud platforms, programming in Java and Python, and big data frameworks including Hadoop, Spark, Apache Hive alongside Informatica and SQL databases (Microsoft SQL Server, Oracle). The role involves data processing tasks within Assura Protect's cloud infrastructure.

Google★4.3 (6.2k)· London

You’ll build machine learning solutions using TensorFlow, DataFlow, Vertex AI, Python, Java, Go, C/C++, and tools like Apache Beam, Hadoop, and Spark. As part of Google Cloud Consulting Professional Services, you’ll advise customers on architecture, data migration, and production ML systems, delivering tailored implementations and workshops.

Lead the Credit Risk Analytics IT team using S&P Global FRA (fraimWRX), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, and MS Azure. The team designs, integrates, and supports systems for calculating and reporting Credit Risk across all locations. This is a VP-level role managing onshore, nearshore, and offshore developers.

MUFG★3.3 (1k)· London

Works with S&P Global FRA, fraimWRX (AKS), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, MS Azure. Leads the Credit Risk Analytics IT team, designing and integrating Middle Office systems for calculating and reporting Credit Risk across all locations. Manages onshore, nearshore, and offshore teams.

IQVIA★3.7 (2.7k)· London

Works with cloud-native architecture, data warehousing, AWS, and big data technologies including Hive, Spark, Presto, Cassandra, Hadoop, and ML

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 Scala, Cats, Shapeless, Akka, and Monix to build microservices for the Quantexa Platform, a product that processes and analyzes large volumes of data to detect fraud, financial crime, and anomalous activity.

You will work with Python or Scala, Databricks, Apache Spark, HDFS, HBase, Snowflake, and Cloud/DevOps/GitOps/containers. Sahaj Software is a consulting firm that builds purpose-built solutions for data-led transformation, combining Data Engineering, Platform Engineering, and Data Science to deliver production AI/ML systems.

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.

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.

Booking.com★3.7 (1.2k)· London

Work on backend services using Java, micro-services, MySQL, Hadoop, Cassandra, and possibly AWS (DynamoDB, RDS, Step functions, EC2, Kinesis). The RegTech team in Fintech builds compliance and risk-management solutions, including sanctions screening, monitoring, and regulatory reporting.

JD.COM★3.8 (53)· London

Work with Python, Java, C++, PyTorch, TensorFlow, scikit-learn, Hadoop, Spark, and neural deep learning. Build a next-generation inventory prediction and replenishment optimization platform for JD’s global fulfilment services, focusing on demand forecasting, replenishment, and supply chain decision intelligence.

JD.COM★3.8 (53)· London

Work with SQL, Python/Java/Scala, Spark, Hadoop, Flink, AWS/GCP/Azure, Snowflake/Redshift/BigQuery, and Airflow/Luigi. Design and maintain scalable data pipelines and platforms for analytics and ML model training, ensuring data quality and compliance across international markets for JD.com’s global technology and supply chain ecosystem.

JD.COM★3.8 (53)· London

Use Python, R, or Scala; ML frameworks (TensorFlow, PyTorch, Scikit‑learn); data‑viz tools (Tableau, Power BI); and big‑data platforms (Spark, Hadoop) with cloud ML pipelines (AWS Sagemaker, GCP Vertex AI, or Azure ML). You will build predictive models and analytics for personalization, recommendation, and customer segmentation on JD.com’s international e‑commerce operations.

Tripadvisor★3.9 (142)· London

Work with Snowflake, BigQuery, Hadoop, Hive, SQL, Python, and Airflow. As a member of the Data Platform Enterprise Services Team, you will build and optimize ETL pipelines, data marts, and tooling to provide analytics insights for business-critical decisions across Product, Finance, Sales, and more. The role involves working with terabyte-scale datasets and mentoring junior engineers.

The Principal Architect will work with OpenAI Codex, generative AI tools, Python, Java, C++, TensorFlow, PyTorch, NLP and computer vision libraries, big data frameworks, and SQL/NoSQL databases. Persistent Systems is an AI-led digital engineering and enterprise modernization partner.

Man Group★3.6 (14)· London

Lead development of Man Group’s core Python compute platform, working with Kubernetes, Spark, Hadoop Yarn, Ray, and Airflow on Linux for systematic and discretionary investment strategies. You will build the research platform and APIs for researchers and developers.

Snowflake★3.7 (31)· London

You will work with SQL, Python, dbt, Spark, Kafka, Snowflake (including Cortex AI, Snowpark, and Native Apps), and AI/LLM tools. You will own the full technical relationship with a single strategic financial services customer, driving use case expansion and acting as a trusted advisor to CTO and CDO leadership. This is a named-account role focused on a global financial institution.