Senior Data Engineer
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Likely real
- 33 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
What are we looking for?
Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data.
You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc.
You’ve got a background in software engineering, including Front End technologies like JavaScript.
You’re a problem-solver, pragmatically exploring options and finding effective solutions.
An understanding of how to design and build well-structured, maintainable systems.
Strong communication skills and a collaborative approach to work.
You embrace the chance to try new things, learn new skills and grow your experience.
It would be great if you have:
Experience of relevant cloud services within AWS, Azure or GCP.
Experience working in an Agile environment.
Experience working with common vendor products such as Snowflake or Data Bricks.
Experience working with CI/CD tooling.
What you’ll get in return is:
25 days’ annual leave, rising to 30 days with each year of service.
Generous family leave policies.
Access to an employer pension scheme, private medical services and Group Life Assurance.
A range of optional benefits such as discounted gym membership and a cycle-to-work scheme.
A meaningful approach to evaluating your performance and providing feedback on your progress.
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