9 of 9 Apache Iceberg Jobs in the UK excluding London

Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud‐native services. Good understanding of open‐source table formats, specifically Apache Iceberg , to enable interoperability, schema evolution, and high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . … Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture. Leadership & Soft Skills Mentorship: Proven track record of upskilling junior and senior engineers. Communication: Ability to explain complex technical concepts ...

with a backend or software engineering background Desirable: Experience with Snowflake Orchestration tools such as Dagster or Airflow dbt for data transformation and modelling Apache Iceberg or modern table formats Background in high-growth, consumer-facing products SALARY AND BENEFITS Base salary up to £100,000 Competitive benefits ...

data lakes on AWS S3 to store and process both structured and unstructured data sets. Nice-to-have skills: Knowledge of Open Table Formats (Iceberg/Delta). AWS Tools: Experience with Amazon CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis. Data modelling Job scheduling/orchestration Data virtualisation tools (Denodo ...

data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including ...

data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including ...

data pipelines in AWS using services such as S3, Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including ...

site business environment Strong proficiency in Python and SQL, with hands-on experience in Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience with workflow ...

data mapping Data quality governance and performance optimization A solid understanding of endtoend data ingestion and transformation processes AWS data stack S3 Glue EMRPySpark Iceberg nice to have Nontechnical Skills Demonstrated commitment ownership and accountability Strong attention to detail with a proactive approach to identifying and resolving problems ...

Security Groups, CloudFormation, RDS, DynamoDB and Redshift, including secure and well‐governed implementations. Data engineering and pipelines, building efficient batch and streaming solutions using Apache Spark and AWS services, and working with large‐scale datasets in enterprise environments. Demonstrated technical problem‐solving capability, with the ability to rapidly understand … tooling (e.g. Maven, Jenkins), test‐driven development, and delivery of production‐ready solutions at scale. Data and streaming technologies, including working knowledge of JSON, Iceberg, Avro, and streaming platforms such as Kafka, MSK, Kinesis or Glue Streaming, alongside Big Data or Data Warehouse environments. Ability to communicate effectively with ...