51 to 70 of 70 Star Schema Jobs in England

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns) Plus: Ability to explain complex engineering concepts without losing people You genuinely enjoy working with people and get energy from helping others ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...

streams Develop PySpark/Spark SQL notebooks for advanced data cleansing, transformation, and business logic Create production-ready semantic models for Power BI, including star schemas and Direct Lake optimisation Implement governance and security controls (RLS, OLS, service principals) Drive CI/CD best practices using Azure DevOps ...

design/implementation - showing a strong understanding of relational database design/entity relationship Data warehouse design/implementation – showing a strong understanding of star schema/Kimball Whilst not essential, skills in SSRS, Power BI, Power Query, C# and DAX would be helpful. This will ...

post-release reviews to ensure solutions continue to support business goals. About you: Proficiency in PowerBI (including DAX) and SQL querying. Strong experience with star schema data modelling. Familiarity with tools like SQL Server Management Studio and Azure DevOps. Excellent understanding of database design, table joins, views ...

Work With: Designing conceptual, logical, and physical data models for operational, analytical, and regulatory workloads. Creating data architecture blueprints and defining modelling patterns (3NF, star schema, Data Vault). Embedding data quality and governance into pipelines and ensuring compliance with lineage, retention, and security policies. Leading architectural discovery ...

Required skills: Should have strong experience in AWS Data stack like S3/Lambda/Glue/Redshift etc., Should be able to do Schema Management Good experience in Payment platform and ISO 20022. Strong experience on streaming and EDA tools like KAFKA and AWS MSK/Kinesis etc. … Logical and physical data modelling, normalisation, and design. Should have good understanding when to denormalize for queries; trade-offs between 3NF, Data Vault, and star schemas. Should do Command Query responsibility segregation. Good understanding of observability tools like Prometheus/Grafana/CloudWatch. Good hands-on experience with Scala ...

Required skills: Should have strong experience in AWS Data stack like S3/Lambda/Glue/Redshift etc., Should be able to do Schema Management Good experience in Payment platform and ISO 20022. Strong experience on streaming and EDA tools like KAFKA and AWS MSK/Kinesis etc. … Logical and physical data modelling, normalisation, and design. Should have good understanding when to denormalize for queries; trade-offs between 3NF, Data Vault, and star schemas. Should do Command Query responsibility segregation. Good understanding of observability tools like Prometheus/Grafana/CloudWatch. Good hands-on experience with Scala ...

Confluent) and AWS MSK/Kinesis/Kinesis Firehose; outbox, ordering, replay, exactly/at-least-once semantics. EventBridge for event routing and filtering. - Schema management: Avro/Protobuf + Schema Registry (compatibility, subject strategy, evolution). - AWS data stack: S3/Glue/Athena, Redshift, Step Functions … vs. analytics. - Normalization & design: Normalize to 3NF/BCNF for OLTP; understand when to denormalize for queries; trade-offs between 3NF, Data Vault, and star schemas. - CQRS (Command Query Responsibility Segregation):Separate read/write models; event sourcing and state reconstruction; eventual consistency patterns; when CQRS is justified vs. ...

Confluent) and AWS MSK/Kinesis/Kinesis Firehose; outbox, ordering, replay, exactly/at-least-once semantics. EventBridge for event routing and filtering. • Schema Management: Avro/Protobuf + Schema Registry (compatibility, subject strategy, evolution). • AWS Data Stack: S3/Glue/Athena, Redshift, Step Functions … vs. analytics. - Normalization & Design Normalize to 3NF/BCNF for OLTP; understand when to denormalize for queries; trade-offs between 3NF, Data Vault, and star schemas. - CQRS (Command Query Responsibility Segregation) Separate read/write models; event sourcing and state reconstruction; eventual consistency patterns; when CQRS is justified vs. ...

Confluent) and AWS MSK/Kinesis/Kinesis Firehose; outbox, ordering, replay, exactly/at-least-once semantics. EventBridge for event routing and filtering. • Schema Management: Avro/Protobuf + Schema Registry (compatibility, subject strategy, evolution). • AWS Data Stack: S3/Glue/Athena, Redshift, Step Functions … vs. analytics. - Normalization & Design Normalize to 3NF/BCNF for OLTP; understand when to denormalize for queries; trade-offs between 3NF, Data Vault, and star schemas. - CQRS (Command Query Responsibility Segregation) Separate read/write models; event sourcing and state reconstruction; eventual consistency patterns; when CQRS is justified vs. ...