At a Glance
- Tasks: Design and optimise cloud data platforms using Snowflake and modern tools.
- Company: Join CGI, a top-rated employer known for inclusivity and innovation in tech.
- Benefits: Enjoy competitive salary, private healthcare, pension, and a share scheme.
- Other info: This hybrid role involves travel in the London area; must have UK work rights.
- Why this job: Make a real impact in data engineering while growing your career in a supportive community.
- Qualifications: Experience with Snowflake, SQL, and cloud platforms like AWS or Azure required.
The predicted salary is between 36000 - 60000 £ per year.
Position Description:
If you’re looking for a challenge that stretches your talents and want to make a real difference in how modern businesses harness cloud-native data solutions, come and help us grow our Data Engineering capability at CGI. We need a skilled Data Engineer with a focus on Snowflake to help us build scalable, impactful data platforms using modern technologies.
CGI was recognised in the Sunday Times Best Places to Work List 2024 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.
This is a hybrid role with regular travel in the London area. All applicants must have the right to live and work in the UK.
As a Data Engineer specialising in Snowflake, you’ll contribute to the design, development, and optimisation of cloud data platforms, often working with a wide array of cloud services and tools. You’ll play a hands-on role in delivering data solutions that help clients extract insight and business value, while also promoting engineering best practices.
Key responsibilities will include:
- Designing and implementing scalable data warehouse solutions using Snowflake
- Building efficient ELT/ETL pipelines using DBT and other modern tooling
- Writing and optimising complex SQL queries for large datasets
- Applying software engineering principles to data systems, including version control, testing, monitoring and CI/CD
- Working with cloud infrastructure on platforms like AWS, Azure or GCP
- Performing architectural assessments and selecting fit-for-purpose solutions in collaboration with clients
- Collaborating with cross-functional teams to deploy and operate solutions in production
- Supporting real-time and near-real-time data analytics initiatives
- Leveraging orchestration tools such as Airflow, Dagster, Azure Data Factory or Fivetran
- Solid experience designing and delivering Snowflake-based data warehouse solutions
- Strong background performing architectural assessments and collaborating with stakeholders to define optimal solutions
- Strong SQL skills with experience across relational and non-relational databases
- Proficiency in a modern programming language such as Python, Java or Scala
- Hands-on experience using DBT for pipeline development and transformation
- Familiarity with cloud platforms such as AWS, Azure or GCP
- Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran)
Desirable:
- Experience deploying AI/ML models in production environments
- Familiarity with AWS data services (e.g., S3, Glue, Kinesis, Athena)
- Exposure to real-time data streaming and analytics paradigms
#LI-RJ1
- Data Engineering
- Snowflake
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
Data Engineer (Snowflake) in London employer: CGI
CGI is an exceptional employer that prioritises inclusivity and employee growth, offering a competitive salary, excellent pension, and private healthcare. As a Data Engineer specialising in Snowflake, you'll thrive in a supportive, collaborative environment where your contributions directly impact clients and the business. With recognition as one of the 'World’s Best Employers' and a commitment to fostering a diverse community, CGI empowers you to shape your career while enjoying the benefits of being a partner from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Snowflake) in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like CGI!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Data Engineer (Snowflake) in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at CGI, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at CGI
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with CGI’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
