Endava
This role involves designing, implementing, and maintaining scalable data pipelines in Azure using tools like Data Factory, Synapse, Databricks, and Spark. Collaborating with data scientists and analysts, the position focuses on data ingestion, processing, transformation, and quality assurance while adhering to ETL/ELT processes and Event-Driven Architecture. Candidates must demonstrate proficiency in Python, SQL, and database design principles including Star Schema.
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.
6% below the average for this role
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