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Senior Data Engineer (Databricks, Spark)
Build and optimize large-scale data pipelines on Databricks and Spark for a fast-growing neobank, ensuring clean, reliable datasets that power business metrics and customer-facing financial services.
Senior Data Engineer (Databricks, Spark)
Build and optimize large-scale data pipelines on Databricks and Spark for a neobank, ensuring clean, reliable datasets and efficient analytics infrastructure.
Snowflake Data Engineer - Ads
Build and automate Apple Ads’ Snowflake-based cloud data warehouse on AWS, using Iceberg lakehouse tech and Python to deliver reliable, scalable advertising analytics and pipelines.
Principal Data Engineer (PySpark)
Principal Data Engineer builds and scales real-time and batch data pipelines using PySpark, Kafka, Flink, and cloud orchestration tools, while leading a team and mentoring peers.
Data Platform Developer (Kafka)
Build and maintain an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams to integrate and process data across systems.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Analyst/Associate - London
Build and maintain Goldman Sachs’ Lakehouse and AI data platform, designing pipelines, datasets, and tooling to power analytics and AI use cases using Python, SQL, Spark, and Snowflake.
Senior Data Platform Developer (Kafka)
Senior Data Platform Engineer builds and maintains an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams for a bank, integrating systems with MongoDB, Iceberg, and S3.
Data Platform Developer (Kafka)
Builds and scales an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams to integrate and process data across business systems.
Senior Data Platform Developer (Kafka)
Builds and scales an event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams to integrate and process financial data across systems.
Staff Data Architect
Design and govern a healthcare-focused enterprise data lakehouse, building semantic layers, ontologies, and AI-native data architectures while ensuring HIPAA/FHIR compliance and scalable cloud-native pipelines.
Data Engineer
Build and migrate a legacy Hadoop data warehouse to a modern Spark 3/Iceberg lakehouse, optimizing ETL pipelines and analytics for a large-scale client.
Backend Engineer - Feature Platform
Build and scale a centralized feature platform that powers Wise’s real-time fraud and AML detection systems using Java, Kafka, and stream processing.
Data Platform Engineer (Kafka / Java)
Build and maintain a modern data platform integrating streaming pipelines with Java/Spring Boot, Apache Kafka, MongoDB, GraphQL, and Iceberg for a banking-sector client.
AI Engineer
Build and maintain backend services for payment and reconciliation platforms using Java/Kotlin, Spring Boot, and AI-assisted development practices.
Data Platform Developer
Build and maintain a real-time, event-driven data platform using Kafka, Kafka Streams, and ksqlDB, with Java/Spring Boot microservices, GraphQL, and MongoDB integrations.
Senior Data Engineer
Design and build a secure, scalable data lakehouse for threat-intelligence analytics using Spark, Iceberg, Trino, and ClickHouse on AWS.
Data Platform Developer
Build and maintain a scalable, event-driven data platform using Apache Kafka, Java/Spring Boot, and Kafka Streams for a banking client, integrating with MongoDB, S3, and GraphQL.
Data Platform Developer-Analyst
Builds and designs data pipelines for a banking client, mapping data flows between source systems, Kafka, and ODS using Java, Python, and modern data tools.