Data Engineer

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This range is provided by Accessplc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

i am recruiting for a Data Engineer to work in Glasgow 3 days a week, 2 days remote.

The role falls inside IR35 so you will have to work through an umbrella company.

Banking / Financial Services experience is required.

You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.

Experience in data development and solutions in highly complex data environments with large data volumes.

SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.

Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, Num Py, PySpark, etc.

You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud).

Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, No

SQL DBs, Document DBs, Log Files etc).

Please apply ASAP to find out more!

i am recruiting for a Data Engineer to work in Glasgow 3 days a week, 2 days remote.

The role falls inside IR35 so you will have to work through an umbrella company.

Banking / Financial Services experience is required.

You will have a number of years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.

Experience in data development and solutions in highly complex data environments with large data volumes.

SQL / PLSQL experience with the ability to write ad-hoc and complex queries to perform data analysis.

Experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, Num Py, PySpark, etc.

You will be able to develop solutions in a hybrid data environment (on-Prem and Cloud).

Hands on experience with developing data pipelines for structured, semi-structured, and unstructured data and experience integrating with their supporting stores (e.g. RDBMS, No

SQL DBs, Document DBs, Log Files etc).

Please apply ASAP to find out more!

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Information Technology
• Industries Data Infrastructure and Analytics

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