Data Engineer - Python

Data Engineer - Python

Posted 2 weeks ago by Robert Walters

£450 Per day
Undetermined
Hybrid
Glasgow, Scotland, UK

Summary: A leading global financial services organization is seeking a Data Engineer to join their Enterprise Technology division in Glasgow. The role involves working within a high-performing engineering team to build and maintain platforms critical to business operations. The position offers the opportunity to work with advanced tools and cloud platforms, focusing on automation and data integration. Candidates will contribute to a dynamic development chapter of over 70 engineers supporting a vast network of technology professionals worldwide.

Key Responsibilities:

  • Design and build efficient, scalable, and secure ETL pipelines using Python and Databricks
  • Integrate and manage cloud-based data warehouses (eg Snowflake)
  • Work with REST APIs and data services to connect and consolidate data across systems
  • Maintain and optimize data workflows, ensuring performance, scalability, and resilience
  • Collaborate in a global Agile team-participating in sprint planning, reviews, and stand-ups
  • Apply rigorous testing and monitoring practices to ensure high reliability of data processes
  • Contribute to best practices, documentation, and internal tooling for enhanced developer productivity

Key Skills:

  • Proficiency in Python programming with an emphasis on clean, maintainable code
  • Experience with Databricks or similar platforms for distributed data processing
  • Strong understanding of ETL principles, data modelling, and data integration
  • Hands-on experience with cloud-based data warehousing (eg Snowflake)
  • Knowledge of Linux, Git, and RESTful API integrations
  • Familiarity with Agile development practices

Salary (Rate): £450 per day

City: Glasgow

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

About the Role
A leading global financial services organization is looking for a Data Engineer to join their Enterprise Technology division in Glasgow. This is an exciting opportunity to work within a high-performing, global engineering team responsible for building, maintaining, and scaling platforms that underpin the organization's critical business operations.

You'll join a dynamic development chapter of 70+ engineers, contributing to strategic platforms that support 10,000+ technology professionals worldwide. You'll work with the latest tools and cloud platforms to drive automation, data integration, and Real Time performance monitoring.

Key Responsibilities

  • Design and build efficient, scalable, and secure ETL pipelines using Python and Databricks
  • Integrate and manage cloud-based data warehouses (eg Snowflake)
  • Work with REST APIs and data services to connect and consolidate data across systems
  • Maintain and optimize data workflows, ensuring performance, scalability, and resilience
  • Collaborate in a global Agile team-participating in sprint planning, reviews, and stand-ups
  • Apply rigorous testing and monitoring practices to ensure high reliability of data processes
  • Contribute to best practices, documentation, and internal tooling for enhanced developer productivity

What We're Looking For

  • Proficiency in Python programming with an emphasis on clean, maintainable code
  • Experience with Databricks or similar platforms for distributed data processing
  • Strong understanding of ETL principles, data modelling, and data integration
  • Hands-on experience with cloud-based data warehousing (eg Snowflake)
  • Knowledge of Linux, Git, and RESTful API integrations
  • Familiarity with Agile development practices

Desirable Skills

  • Experience with data orchestration tools like Apache Airflow
  • Background in big data technologies (Spark, Hadoop)
  • Exposure to visualization tools such as Power BI
  • Understanding of ServiceNow integrations or performance tuning
  • Knowledge of monitoring and APM solutions across large-scale systems

Why Apply?

  • Work on high-impact platforms used by global engineering teams
  • Join a diverse, inclusive, and international team of technologists
  • Hybrid working model with flexible work-life balance
  • Competitive compensation, professional growth opportunities, and comprehensive benefits
  • Centrally located Glasgow office with onsite gym, restaurant, and modern facilities

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