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© All Rights Reserved. ApplyBlast.com
Endava
This role focuses on designing, implementing, and maintaining data pipelines for ingestion, processing, and transformation using cloud services and Azure technologies like Data Factory, Synapse, and Fabric. The position involves creating data solutions, ensuring data quality through validation and cleansing, and improving the scalability and efficiency of data workflows. It requires strong Python skills and a solid understanding of data design principles, warehousing concepts, and ETL/ELT processes.
Headquarters
London, England, United Kingdom
Company Size
10001+ employees
Founded
2000
Endava is a next-generation technology services company that combines world-class engineering, AI-native delivery and deep industry expertise to help organizations accelerate growth and shape the future with intelligence. It partners with clients from ideation through production to build tailored digital products, modernize platforms, and scale cloud, data and automation initiatives that solve complex business challenges. Endava emphasizes pragmatic, outcome-driven transformation—augmenting human and machine intelligence to deliver lasting impact across industries and regions. Founded in 2000, it serves global customers with consulting, software engineering and managed services.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Endava.
Endava didn’t post a salary, so this is our estimate from similar listings.
17% below the average for this role
Azure Databricks Azure Data Factory (ADF) PySpark Python SQL Data Warehousing concepts (Star Schema, Snowflake Schema, ETL/ELT, Dimensional Modelling) Experience in designing and developing scalable data pipelines Strong understanding of data integration, transformation, and optimization techniques Power BI Data visualization and dashboard development Experience with Azure ecosystem services Supply Chain domain expertise
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