1 to 25 of 32 Amazon Redshift Jobs in the UK excluding London

management of large-scale enterprise data warehouse solutions. Build and maintain data integration and transformation processes using IBM DataStage. Work with AWS technologies including Amazon Redshift, Amazon S3, AWS Glue and Amazon QuickSight. Develop and optimise SQL-based data transformations and work with relational databases. Support … need strong commercial data engineering experience, particularly across enterprise-scale ingestion, transformation, warehousing and database environments. Essential skills and experience IBM DataStage Amazon Redshift Amazon S3 AWS Glue Amazon QuickSight AWS data/cloud environments ETL and data migration Batch and real-time data processing Enterprise ...

people with extensive commercial experience with AWS Glue, developing Glue Jobs using PySpark and Python, AWS Glue Data Catalog, Crawlers, Workflows and triggers, Amazon S3 data lake implementation and management, AWS IAM roles, policies and security best practice. You will also need experience with several of the following: Amazon Redshift, AWS Lambda, Amazon Athena, Amazon RDS, Amazon EMR, Amazon EventBridge, Amazon Kinesis, AWS Step Functions, Amazon SQS/SNS and AWS CloudWatch. These roles are outside IR35 and will require you to be onsite 3 days a week. All candidates must ...

Ability to work directly with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational ...

equivalent Experience building data pipelines in production Hands-on experience with a cloud platform (AWS, Azure or GCP) Experience with data warehousing (Snowflake, Redshift, BigQuery or Synapse) Understanding of data modelling and CI/CD Desirable Spark, Databricks or Kafka Orchestration tools such as Airflow or dbt Infrastructure ...

programming language. Experience with modern data engineering tools, such as dbt, Airflow or Spark. Experience with cloud data warehouses, such as Snowflake, BigQuery or Amazon Redshift. A solid understanding of data modelling, ETL/ELT and data quality. Knowledge of data governance, security and privacy. Confidence taking ownership ...

Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience ...

stakeholders Experience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle management ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

role focused on building scalable, secure and high-performing solutions that support analytics, AI, and enterprise reporting. Key Skills Required AWS (S3, Glue, Redshift, Athena, Kinesis, Lambda) Data Lake & Lakehouse architectures ETL/ELT & data pipelines Python, SQL & PySpark Data modelling (Kimball, Data Vault) Data governance & security Terraform/ ...

communication skills. Desirable Skills Experience within Credit Cards or broader consumer lending environments. Knowledge of AWS data services such as S3, Glue, Lambda, Redshift or related technologies. Experience working within regulated financial services environments. Understanding of modern data architecture and cloud data strategy initiatives. Candidate Profile The ideal candidate ...

trace transformations Databricks, including Unity Catalog and medallion (bronze-silver-gold) architecture Azure or AWS data services (e.g. Data Factory, Synapse, S3, Glue, Redshift) Data testing tools such as dbt tests, Great Expectations or Soda YAML-based configuration or structured test frameworks Using AI agents and LLMs ...

Platforms: Experience in building & scaling data lakes, data warehouses, and associated data systems. Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift).Semantic Layer: Design and implementation for governed reusable data views. Data Governance Tools: Collibra, Alation, Talend or equivalent. Expertise in ETL tools and processes ...

Strong expertise designing and implementing cloud-based data architectures, particularly within AWS environments. Deep technical knowledge of AWS services, including EC2, S3, RDS, Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time ...

different platforms, and you’ll be expected to work across them. Any of the major clouds, with native services such as S3, Glue, Redshift and Kinesis on AWS, Data Factory, Synapse and Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running ...

different platforms, and you’ll be expected to work across them. Any of the major clouds, with native services such as S3, Glue, Redshift and Kinesis on AWS, Data Factory, Synapse and Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join our client? Were building a culture where talented people can do meaningful ...

experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with ...

data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance practices including cataloging, lineage tracking, and data access control at the platform layer AWS certification(s) in cloud ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

capability to present and effectively influence senior stakeholdersYou have strong SQL skills and hands-on experience with dbt, cloud data warehouses (Snowflake, BigQuery, or Redshift), and modern BI tools (Omni, Looker) to build scalable data models and self-serve dashboards. Experience with attribution modelling and/or testing methodology ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

analysts. Advanced SQL skills and the ability to work confidently with large, complex datasets. Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar. Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development. Experience with data visualisation tools such as Tableau, Looker, or Power ...

design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small ...

stack - cloud data ecosystems (eg. Snowflake, Databricks, Vertex AI, AWS Sagemaker).Experience moving to modern data architecture environment, with Deep Datawarehouse/lakehouse (AWS Redshift, Databricks), streaming/batch, APIs, data products, ELT, CDC, structured + unstructured data experience. Proven experience with AI/ML engineering and success deploying ...

modelling, database design, and advanced architectural patterns (e.g. Data Mesh, Data Lakehouse). Strong knowledge of the AWS cloud data service ecosystem, including S3, Redshift, Glue, Lake Formation, and IAM, and how they integrate into a cohesive solution. Extensive experience in defining and implementing enterprise data governance, security ...