At a Glance
- Tasks: Design and implement data pipelines while collaborating with cross-functional teams.
- Company: CGI is a leading IT and business consulting firm, recognised for its inclusive culture.
- Benefits: Enjoy remote work flexibility, competitive salary, private healthcare, and a share scheme.
- Other info: Join a diverse community committed to your growth and career development.
- Why this job: Be part of a digital revolution and drive innovation in data engineering.
- Qualifications: Proficiency in Python, SQL, and cloud technologies; experience in Agile teams preferred.
The predicted salary is between 32000 - 48000 £ per year.
Get AI-powered advice on this job and more exclusive features.
Join CGI and help shape the future of Scotland’s digital landscape through impactful data engineering that powers transformation across the public and commercial sectors. As a Data Engineer, you’ll play a key role in designing and delivering high-value data solutions that enable smarter decisions and better outcomes for millions of citizens. You’ll work with modern cloud, data and automation technologies, taking ownership of meaningful challenges while collaborating with a supportive community that encourages new ideas and continuous growth. This is your opportunity to contribute to innovative, high-impact projects while building a career where your expertise and creativity truly make a difference.
CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK ‘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.
Due to the secure nature of our programmes, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.
Key Responsibilities
- Design & Build: Develop scalable data pipelines, ETL/ELT processes and data architectures.
- Engineer & Optimise: Improve performance across big-data environments using modern tools and platforms.
- Collaborate & Deliver: Work with Agile teams to deliver secure, high-quality data solutions.
- Integrate & Automate: Support CI/CD practices and infrastructure for data engineering workflows.
- Analyse & Innovate: Introduce new techniques and technologies that enhance data processing and insights.
- Support & Evolve: Contribute to best practices, standards and continuous improvement across the team.
Essential Qualifications
- Proficiency in scripting languages (Python, PowerShell, SQL, Scala or Spark-SQL)
- Experience with cloud platforms (AWS, Azure or GCP)
- Hands‑on expertise with Databricks, Spark, Kafka or similar tooling
- Knowledge of relational/NoSQL technologies (e.g., Postgres, Cassandra)
- Experience with ETL/ELT and workflow orchestration tools (Talend, Matillion, Informatica, Glue or ADF)
- Data warehousing experience
- Proven ability to build and optimise big-data pipelines
Desirable Qualifications
- Knowledge of CI/CD tooling and automation (Jenkins, GitHub, Terraform, Ansible, Kubernetes)
- Degree in Computer Science, Statistics, Information Systems or equivalent experience
Seniority level
- Entry level
Employment type
- Full-time
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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Data Engineer in Wideopen employer: CGI
CGI is an exceptional employer that fosters a culture of inclusivity and collaboration, making it a great place for Senior Programme Managers to thrive. With a commitment to professional growth, competitive benefits including a share scheme, and recognition as one of the UK's Best Employers, CGI offers a supportive environment where you can lead transformative projects in the energy sector while working alongside talented colleagues in Aberdeen. Join us to not only advance your career but also to be part of a community that values diversity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Wideopen
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like CGI!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at CGI.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CGI.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at CGI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Wideopen
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CGI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CGI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CGI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CGI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
