Data Engineer

Data Engineer

Posted Today by Square One Resources

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£360 Per day
Inside
Hybrid
Glasgow, Scotland, United Kingdom
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Agile Methodology Amazon Web Services (AWS) Apache Velocity Data Collection Data Lakes Git (Version Control System) Gitlab Java (Programming Language) Management Memory Management Performance Tuning Profiling (Computer Programming) Pyspark Python (Programming Language) SIPOC Process SQL (Programming Language) Version Control

Summary: The Data Engineer role involves building and maintaining systems for data collection, storage, processing, and analysis, ensuring data accuracy, accessibility, and security. The position is based in Glasgow with a hybrid working arrangement and is classified as inside IR35. The contract is set to last until December 31, 2025, with a daily rate of £360.

Key Responsibilities:

  • Build and maintain data architectures and pipelines for durable, complete, and consistent data transfer and processing.
  • Design and implement data warehouses and data lakes that manage appropriate data volumes and adhere to security measures.

Key Skills:

  • 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.

Salary (Rate): £360 daily

City: Glasgow

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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.
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