Data Engineer - Python

Data Engineer - Python

Posted 2 weeks ago by Robert Walters

Apply
£550 Per day
Undetermined
Hybrid
Glasgow, Scotland, United Kingdom
Apply
Agile Methodology Apache Hadoop Application Programming Interface (API) Automation Azure Databricks Big Data Business Operations Cloud Computing Cloud Technologies Cloud Technology Databricks Data Integration Data Modeling Data Warehousing Extract Transform Load (ETL) Financial Services Generic Programming Git (Version Control System) Global Financial Services Linux Oracle Linux Python (Programming Language) RESTful API Scalability ServiceNow Snowflake (Data Warehouse) Software Development Sprint Planning Workflows

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 building and maintaining scalable ETL pipelines and cloud-based data warehouses while collaborating within a global Agile team. The position offers the opportunity to work with cutting-edge tools and contribute to critical business operations. Candidates should have strong Python skills and experience with data integration and cloud technologies.

Key Responsibilities:

  • Design and build efficient, scalable, and secure ETL pipelines using Python and Databricks
  • Integrate and manage cloud-based data warehouses (e.g. 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 modeling, and data integration
  • Hands-on experience with cloud-based data warehousing (e.g. Snowflake)
  • Knowledge of Linux, Git, and RESTful API integrations
  • Familiarity with Agile development practices
  • 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

Salary (Rate): £550.00/daily

City: Glasgow

Country: United Kingdom

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 - 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 (e.g. 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 modeling, and data integration
  • Hands-on experience with cloud-based data warehousing (e.g. 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

We are committed to creating an inclusive recruitment experience. If you have a disability or long-term health condition and require adjustments to the recruitment process, our Adjustment Concierge Service is here to support you. Please reach out to us at adjustments@robertwalters.com to discuss further.

Apply
Similar Jobs
Loading data...