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Data Analyst - SQL Python Cloud ETL

Premium Job From Client Server
Recruiter: Client Server
Listed on: 31st March
Location: W1W 7TL
Salary/Rate: £80000 - £90000
Type: Permanent

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Data Analyst / Data Engineer (SQL Python Cloud GCP BigQuery Data ETL). Start-up data technology / consultancy is seeking a technologist Data Engineer to work with enterprise scale clients to help them solve difficult problems, accelerate growth and add directly to the bottom line.
As a Data Analyst you'll be responsible for delivering high-quality data outcomes via modern data sourcing, integration and modelling techniques, working as part of a small delivery team and also often within the client team too. Clients range from industry leading public companies to innovative, high-growth start-ups within industries such as retail, eCommerce, FinTech and Gaming. You'll gain exposure to a wide range of modern technology (e.g. Google Cloud Platform, BigQuery) and be continually learning.
You'll be based in Central London within a small team, start-up environment with little bureaucracy where you can make a real impact; collaborate with a friendly and upbeat team and improve your skills via continual learning programmes whilst enjoying a good work / life balance.

Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and problem solving abilities
Expertise using modern data tools (SQL, Python)
Good knowledge of Data Warehouses, ETL pipelines
Good knowledge of Cloud based environments - Google Cloud Platform, BigQuery advantageous
Good appreciation of the modern software development lifecycle, CI/CD
Excellent written and verbal communication skills
Ideally you will have worked in a start-up environment previously and have experience of leading projects / teams
Degree educated

As a Data Analyst / Data Engineer you will earn a competitive salary (to £90k) plus bonus and benefits.
Apply now or call to find out more about this Data Analyst / Data Engineer (SQL Python Cloud GCP BigQuery) opportunity.