3 of 3 Remote Amazon Redshift Jobs in Slough

ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte More ❯

development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely More ❯

expertise in financial market data ingestion, ETL/ELT pipelines, data modelling, and provisioning. Advanced proficiency in Python and SQL. Hands-on experience with AWS data services (e.g. Glue, Redshift, S3, Lambda). Background in data quality management and scalable architecture. Experience engaging directly with front office users and traders. Exposure to energy and metals commodities, power generation, shipping More ❯