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.

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.

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).

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.

Capco★3.1 (275)· London

You'll design and build end-to-end cloud data pipelines using AWS-native tools, Spark, Kafka, and Kinesis, working with Python, Scala, or Java. Capco delivers data transformation solutions for Tier 1 financial services clients across greenfield and enterprise-scale platforms. The role includes mentoring junior engineers while implementing modern data architectures like Data Lakehouses and ensuring compliance with CI/CD and governance standards.

Capco★3.1 (275)· London

You'll design and build end-to-end AWS-native data pipelines using Python, Scala, or Java with Spark, Hadoop, and real-time streaming tools like Kafka and Kinesis for Tier 1 financial services clients. Capco delivers cloud-based data platforms powering digital transformation across financial services, with opportunities to mentor junior engineers and apply modern architectures including Data Lakehouse and Data Warehousing.

Apple★4.1 (14k)· London

You will work with Java, distributed systems, and large-scale data technologies to build and optimize personalization features for Apple Podcasts, Apple Music, and Apple Books serving millions of customers globally. The Apple Services Engineering team handles the full development lifecycle of key systems powering these entertainment services, emphasizing system design, implementation, and continuous optimization with a focus on privacy and performance at scale.