Data Engineer Python Spark SQL

1 month ago


Newcastle upon Tyne, United Kingdom Client Server Full time

Data Engineer (Python Spark SQL) Newcastle Onsite to £70k Do you have a first class education combined with Data Engineering skills? You could be progressing your career at a start-up Investment Management firm that have secure backing, an established Hedge Fund client as a partner and massive growth potential. As a Data Engineer you‘ll be instrumental in transitioning the core data platform to Azure, managing 3rd party data ingestion and integration. You‘ll collaborate and be supported by a small team, seeking ways to improve the data quality and introduce event streaming. Location / WFH: You‘ll join colleagues in Central Newcastle offices on a full-time basis (Monday to Friday). About you: You have an academic record of achievement, minimum 2.1 at BSc from a top tier university, Computer Science or similar technical / scientific discipline, backed by minimum A A B grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and Data Bricks You‘re excited to join a start-up in a role that you can shape and influence You‘re collaborative with excellent communication skills What‘s in it for you: As a Data Engineer you will earn a competitive salary (to £70k) plus significant bonus and benefits package. Apply now to find out more about this Data Engineer (Python Spark SQL) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We‘re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.



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