Data Engineer
Square One Resources Limited
Glasgow, UK
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£93,600.0
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Agile Methodology
Amazon Web Services
Profiling
Data Warehousing
Distributed Systems
Memory Management
Python (Programming Language)
Performance Tuning
Standard Sql
Concurrency
Gitlab
+7 more
Git
Data Lakes
Pyspark
Information Technology
Bitbucket
Software Version Control
Data Pipelines
Job description
Overview
Job Title: Data Engineer
Location: Glasgow/hybrid
Duration: 31/12/2025
Daily rate: £360 per day INSIDE IR35
Role Description
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Skillset Required
- Experience in Python, PySpark and SQL
- Experience with AWS is a plus
- Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management.
- Proficient in version control systems such as Git, GitLab, or Bitbucket.
- Strong background in performance tuning, profiling, and resolving production issues in distributed systems.
- Working knowledge of Agile methodologies and collaborative development practices.
Seniority level
- Mid-Senior level
Employment type
- Contract
Job function
- Information Technology
Industries
- Information Services and Financial Services
Requirements
- Experience in Python, PySpark and SQL
- Experience with AWS is a plus
- Strong proficiency in Core Java, including Collections, Concurrency, and Memory Management.
- Proficient in version control systems such as Git, GitLab, or Bitbucket.
- Strong background in performance tuning, profiling, and resolving production issues in distributed systems.
- Working knowledge of Agile methodologies and collaborative development practices.
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