13 of 13 Apache Iceberg Jobs in the UK

able to work across full data cycle. - Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD - Coding experience in Apache Spark, Iceberg or Python (Pandas) - Experience in change and release management. - Experience in Database Warehouse design and data modelling - Experience managing Data Migration projects. - Cloud data platform development … the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) - Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge More ❯

experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills, able to translate More ❯

experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills, able to translate More ❯

experience in a leadership or technical lead role, with official line management responsibility. Strong experience with modern data stack technologies, including Python, Snowflake, AWS (S3, EC2, Terraform), Airflow, dbt, Apache Spark, Apache Iceberg, and Postgres. Skilled in balancing technical excellence with business priorities in a fast-paced environment. Strong communication and stakeholder management skills, able to translate More ❯

Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing More ❯

to Have Experience rolling out data governance and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

to Have Experience rolling out data governance and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi. Background in stream processing (Kafka, Flink, or similar ecosystems). Exposure to containerisation and orchestration technologies such as Docker and Kubernetes. More ❯

modern data and platform technologies. Nice to Have: Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

modern data and platform technologies. Nice to Have: Experience implementing data governance and observability stacks (lineage, data contracts, quality monitoring). Knowledge of data lake formats (Delta Lake, Parquet, Iceberg, Hudi). Familiarity with containerisation and streaming technologies (Docker, Kubernetes, Kafka, Flink). Exposure to lakehouse or medallion architectures within Databricks. More ❯

We’re looking for a Data Engineer to join the platform team. You’ll help design, build, and run pipelines and services on a modern data stack (Kafka, AWS, Iceberg, Kubernetes), collaborating with engineers, data scientists, and product teams across multiple regions. What you’ll do Build & maintain streaming and batch pipelines Develop our Lakehouse (AWS S3 + Iceberg … Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

We’re looking for a Data Engineer to join the platform team. You’ll help design, build, and run pipelines and services on a modern data stack (Kafka, AWS, Iceberg, Kubernetes), collaborating with engineers, data scientists, and product teams across multiple regions. What you’ll do Build & maintain streaming and batch pipelines Develop our Lakehouse (AWS S3 + Iceberg … Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

We’re looking for a Data Engineer to join the platform team. You’ll help design, build, and run pipelines and services on a modern data stack (Kafka, AWS, Iceberg, Kubernetes), collaborating with engineers, data scientists, and product teams across multiple regions. What you’ll do Build & maintain streaming and batch pipelines Develop our Lakehouse (AWS S3 + Iceberg … Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

Oracle Autonomous Database, and PostgreSQL. Supporting innovation efforts by exploring new technologies such as vector databases to enable search and AI use cases. Using big data technologies like Kafka, Iceberg, and Parquet, along with managed databases including PostgreSQL and Oracle vector databases. Operating, monitoring, and maintaining Oracle Cloud infrastructure to ensure backend services are highly available, scalable, and secure. … Django, and FastAPI. Experience building flexible APIs using GraphQL. Expertise in at least one cloud platform and its managed data services. Familiarity with big data technologies such as Parquet, Iceberg, and streaming platforms like Kafka. Strong knowledge of database systems, SQL data model design, and query optimization. Experience with containerization using Kubernetes and Docker. Proven ability to deliver scalable More ❯