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Data Engineer - eCommerce - £70,000-£75,000 + benefits

£70,000-£75,000

London, once a month in office required

Python, SQL, AWS, Airflow, Kubernetes

I'm working closely with one of the UK's leading money-saving websites. They partner with thousands of household name retailers and offer discounts and deals to their millions of users. They are an award-winning business with a presence in the UK and the US.

The Role

You'll be joining a high-performing Data Platform Team team that is responsible for data ingestion, data pipe-lining, and data modelling.

What you'll do…

• Partner with the Data Platform team to deliver data models to the Data Science and BI teams
• Write and run scripts using Python and SQL
• Find creative ways to optimise data models and ETL pipelines
• Maintain CI/CD pipelines
• Manage orchestration services using Airflow and Kubernetes

Your experience & skill set...

• You will need experience working on designing complex pipelines using either SQL or Python, but preferably both!
• You will have familiarity with orchestration tools such as Airflow and Kubernetes either in a commercial or academic setting.
• Excellent and demonstrable understanding of the AWS eco-system.

Tech stack in use at the moment...

Python, SQL, AWS, Airflow, Kubernetes, CI/CD Tableau

As the company looks to pursue advanced data maturity, there is scope for you to expand your skill set in the following areas:

MLOps - continue to expand your knowledge in Data Science as you partner with the team

DevOps - find creative ways to improve continuous delivery (CD) pipelines.

Analytics Engineering - continue to expand your data modelling skills as you support Business Analytics with advanced transformations.

Interview process:

3 stages with a technical task

If you're interested in the role or finding out more, please reach out!

[email protected]

Data Engineer - eCommerce - £70,000-£75,000 + benefits

£70,000-£75,000

London, once a month in office required

Python, SQL, AWS, Airflow, Kubernetes

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.