1 to 3 of 3 Contract Senior Data Engineer Jobs in London

Senior Azure Data Engineer/Developer - 12 months - INSIDE IR35. Senior Azure Data Engineer/Developer required for a 12 months contract. You will be office based in South East London 2x days per week. The rest remote. Experienced in Data and Analytics … solution design and implementation using Agile, working to deliver complex data and BI products. Detailed knowledge of ETL, data warehousing, data modelling and experience dealing with big data is expected. Skills. Experince of ETL/ELT, data warehousing/business intelligence methodologies and best practice … including dealing with big data, cloud technology and unstructured data and the relative required approaches Knowledge of star schema structure & design, detailed understanding of Kimball & Inmon and hybrid data warehouse design. Cloud data products like Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL more »

Senior Data Engineer (Databricks) – Remote - 6 Months Contract (Initial) – Outside IR35 VIQU are seeking 4 Senior Data engineers (Databricks) on a contract basis to assist our client as they migrate over from legacy to AWS. The main focus will be to centralise the organisations data warehouses and consolidating/centralising a number of BI tools. Senior Data Engineers should have extensive experience working with Databricks on recent projects and be exposed to the latest features and toolsets of Databricks Role Responsibilities: Design and develop scalable data pipelines using Databricks. Implement data processing workflows in Python and SQL. Manage and optimise data storage solutions on AWS. Ensure data quality and integrity across all stages of data processing. Develop and maintain documentation for data engineering processes. Utilise Databricks features, including Delta Live Tables (DLT) to simplify streaming and more »

Job Title: Senior Data Engineer (SAS) Responsibilities: Rewrite existing data pipelines (SAS, Info, pearl, shell scripts) to Python and DBT transformation-based solutions. Convert SAS-based modules to Python-based pipelines. Load transformed data to Snowflake on Azure. Requirements: Strong experience with SAS programming (primary … skill). Proficiency in pearl and shell scripting (secondary skills). Expertise in Python and DBT for data transformation. Experience in converting SAS-based modules to Python-based solutions. Familiarity with Snowflake for data management. Experience with Airflow or similar technologies is a plus. Desired: Experience with DBT more »