Part of the Future Tech Jobs (opens in a new tab) network
Sign in

Data Engineer - Python, SQL, Databricks

Access Computer Consulting
Glasgow, Scotland
12 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Data Product Engineer

SF Partners Wa11Uh, United Kingdom
£70,000 – £80,000 pa

BI Engineer

Tenth Revolution Group London, United Kingdom
£50,000 – £65,000 pa

Forward Deployed Engineer

Databricks London, United Kingdom
Hybrid

Forward Deployed Engineer - Emerging Enterprise & DNB

Databricks London, United Kingdom
Hybrid

Data Analyst

Pontoon Leeds, West Yorkshire, United Kingdom
£500 – £600 pd
Posted
16 Oct 2025 (12 months ago)
Share
Save job
Create job alert
Overview

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.

Responsibilities
  • 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).
Qualifications
  • 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


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

🍪 A basic record of what gets searched and viewed on Data Science is always kept — it is how we run the boards and report activity to employers. Accepting also loads third-party tools: Google Analytics, Microsoft Clarity and HubSpot. We never sell your data or share it with data brokers. See our Cookie Policy.