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Data Engineer

Accessplc
Glasgow
1 month ago
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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.

Base pay range

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, NumPy, 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, NoSQL 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, NumPy, 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, NoSQL DBs, Document DBs, Log Files etc).

Please apply ASAP to find out more!

Desired Skills and Experience

SQL, PL/SQL, Python, Pandas, Pyspark.

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.
Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesData Infrastructure and Analytics

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