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Data Engineer - Python, SQL, Databricks

Access Computer Consulting
Posted 2 days ago, valid for 2 days
Location

Glasgow, City of Glasgow G2 5LA, Scotland

Salary

£300 - £400 per day

Contract type

Full Time

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Sonic Summary

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  • A Data Engineer position is available in Glasgow, requiring 3 days in-office and 2 days remote work.
  • Candidates should have several years of experience in Software Engineering, Data Engineering, or Data Analytics.
  • The role requires expertise in designing tailored data solutions and developing data pipelines using Python, SQL, and Databricks.
  • Experience with complex data environments and collaboration across various technical stacks like Cloudera, Snowflake, and AWS is essential.
  • The salary for this role is competitive, and candidates must work through an umbrella company due to IR35 regulations.

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.

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

You will have experience of designing and implementing tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.

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.

Databricks experience is essential.

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).

You must be able to collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, Azure, AWS, etc.

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!

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