Senior Data Engineer (Pandas, Polars, PySpark) (IT)

Our Senior Data Engineers are trusted to work closely with a wide range of clients on exciting projects with real-world purpose and impact. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named one of the ?World?s Best Employers? by Forbes magazine. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you?ll be part of an open, friendly community of experts. We?ll train and support you in taking your career wherever you want it to go. Candidate profile:

• Develop ETL pipelines using python to scrape data from a wide variety of sources (APIs, SFTP servers, websites, emails, pdfs, etc.)
• Deploy, orchestrate and maintain the pipelines on Airflow
• Use python web-scraping libraries for data extraction (requests, Beautiful soup, selenium, etc.)
• Handle structured, semi-structured and unstructured data formats
• Use data processing python libraries to carry out data transformations (pandas, polars, etc.)
• Familiar with pytest testing framework for unit and component tests
• Work closely with the platform and framework teams to help maintain and improve the scraping platform
• Be comfortable using SQL to query datasets (Databricks, PG and MSSQL)
• Help promote and disseminate data best-practice data processing techniques with the wider team
• Carry out code reviews to help improve and standardise the code quality across the repo
• Run and maintain automated CI/CD pipelines (ADO pipelines and Jenkins)
• Help upskill and onboard team members across a range of locations (including off-shore offices)

Required qualifications to be successful in this role

• Python Pandas and/or Polars
• Web Scraping, including using Selenium

? SQL

• Azure DevOps
• Airflow

Hybrid working - 2 days in London office

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