Data Engineer

Think IT Recruitment Ltd
60000.00 - 70000.00 GBP Annual + Great Benefits
14 Oct 2020
20 Oct 2020
Contract Type
Full Time

A Data Engineer with Python/PySpark and AWS experience is sought by a software solutions provider based in London, paying up to ??70,000 + benefits

Working as a Data Engineer for a market-leading Fintech company located in London you'll earn a very competitive salary with heaps of benefits to suit your flexible working lifestyle. You'll have the opportunity to work with a creative and passionate team on Greenfield data projects where you will get the chance to learn new skills as the company embark on a major Data Engineering programme on the back of a AWS migration.

We are looking for Data Engineers with a genuine interest in rich data, who also have an desire to learn new tools; so if you have a proven track record of building data pipelines, loading data into data lakes and data warehouses running in the cloud, this Data Engineer role could be the one for you.

The technology and skills involved in this Data Engineer role:

  • Building complex data pipelines/ETL/ELT scripts
  • Python/PySpark as their Data pipelines will be built in PySpark
  • AWS and components such as S3, Glue, Athena, RDS
  • Data Warehouse databases like Redshift/Snowflake/BigQuery
  • Implementing Rest APIs
  • Using and integrating BI tools such as Looker, Qlik, Power BI, Tableau

After a substantial investment from a leading private equity group, this company has become a major disruptor of the fintech world with their award-winning cloud-based product. It's a great time to be joining a strong, expanding business and would be a smart step for any Data Engineer wanting to make a career-defining change. They'll provide you with a great work-life-balance environment, a positive, inclusive and mission-driven culture and plenty of coffee and snacks.

Please get in touch with us today or refer a friend?

Think IT Recruitment is acting as an employment agency for this vacancy under UK Government regulations CEAEBR 2003

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