Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Geospatial Data Engineer

CGI
Newcastle upon Tyne
6 days ago
Create job alert

Join to apply for the Geospatial Data Engineer role at CGI

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.

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.

Key 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.

  • 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 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.

  • 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

CGI is an equal opportunities employer and welcomes applications from all sections of the community. We are committed to equal pay and are a signatory to the Tech Talent Charter.


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Geospatial Data Engineer

Senior Data Engineer (UK)

Data Engineer, Geospatial

Senior Data Engineer

UK Data Engineer - DV clearance required

UK Data Engineer - DV clearance required

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.