Data Engineer - Python
Posted 2 weeks ago by Robert Walters
£550 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, working three days in the office. The role involves contributing to a high-performing engineering team focused on building and maintaining critical business platforms. The position emphasizes automation, data integration, and real-time performance monitoring using modern tools and cloud platforms. Candidates will engage in a collaborative Agile environment to enhance data workflows and processes.
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): £550 per day
City: Glasgow
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
About the Role
A leading global financial services organization is looking for a Data Engineer to join their Enterprise Technology division in Glasgow - 3 days in the office. 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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