Geospatial Data Engineer at CGI
United Kingdom, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

0.0

Posted On

28 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Gdal, Extensions, Docker, Kubernetes, Teams, Technology, Qgis, Python, Esri, Fme, Aws, Ansible, Sql, Oracle Spatial, Azure

Industry

Information Technology/IT

Description

At CGI, we harness the transformative power of geospatial technology to drive industry change, improve public services, and deliver high-impact commercial solutions. As a Geospatial Data Engineer, you’ll play a key role in shaping data-driven insights that streamline complex processes and create real-world benefits for clients and communities. You’ll be part of a collaborative team where ownership, creativity, and support are embedded in everything we do - empowering you to innovate, grow and make a lasting difference.
CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named one of the ‘Best Employer’ by the Financial Times. 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.
This is a hybrid working pattern role and you may need to travel occasionally within the UK as needed – ideally you will be based within a commutable distance to one of the following CGI offices: London, Bristol, Birmingham, Reading, or Glasgow, but we will consider candidates from any UK location.
All applicants must hold or be prepared to undergo National Security Vetting (NSV) to Security Check (SC) level as a minimum.

Essential skills:

  • Strong experience in SQL and Python
  • Proficiency with PostGIS / ArcSDE for geospatial databases
  • Knowledge of cloud platforms such as Azure or AWS
  • Familiarity with FME, OGR and GDAL tools
  • Experience with GIS Desktop tools (ESRI ArcGIS Pro or QGIS

Desirable skills:

  • Knowledge of Linux environments (Ubuntu / RedHat)
  • Experience with Ansible, Kubernetes or Docker
  • Familiarity with Oracle Spatial or MS SQL Spatial extensions
  • SCRUM certificatio

How To Apply:

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Responsibilities

YOUR FUTURE DUTIES AND RESPONSIBILITIES

In this role, you will take ownership of geospatial data management, working closely with technical teams and stakeholders to deliver innovative solutions. You will contribute directly to client success while enhancing CGI’s geospatial capabilities, ensuring data is transformed, optimised, and applied to create measurable impact. Supported by our collaborative culture, you’ll be empowered to drive innovation, develop your expertise, and shape solutions that deliver lasting value.

Key responsibilities:

  • Implement & Optimise: Develop and refine data loading scripts to ensure efficiency and reliability
  • Manage & Transform: Oversee geospatial datasets, ensuring accuracy, quality, and accessibility
  • Collaborate & Deliver: Work with cross-functional teams and stakeholders to meet project objectives
  • Innovate & Enhance: Support the growth of CGI’s geospatial intellectual property and solutions

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

To succeed in this role, you should bring strong technical expertise in geospatial data engineering alongside excellent communication and problem-solving skills. You will be comfortable working across teams, with a proactive mindset and a passion for applying technology to create real-world impact.

Essential skills:

  • Strong experience in SQL and Python
  • Proficiency with PostGIS / ArcSDE for geospatial databases
  • Knowledge of cloud platforms such as Azure or AWS
  • Familiarity with FME, OGR and GDAL tools
  • Experience with GIS Desktop tools (ESRI ArcGIS Pro or QGIS)

Desirable skills:

  • Knowledge of Linux environments (Ubuntu / RedHat)
  • Experience with Ansible, Kubernetes or Docker
  • Familiarity with Oracle Spatial or MS SQL Spatial extensions
  • SCRUM certification

LI-RJ1

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