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At CGI, data is at the heart of helping organisations make smarter decisions and deliver better outcomes. As a Data Insights Engineer, you'll design and deliver modern data solutions that transform complex information into trusted, actionable insights. Working alongside business stakeholders, architects and engineering teams, you'll develop scalable cloud-based data products that improve decision-making, enhance operational performance and create lasting value for our clients. You'll have the opportunity to work with leading Azure technologies, contribute innovative ideas and develop your expertise within a collaborative environment that empowers you to make a real impact.
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 the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position.
Profil recherché
You'll collaborate with architects, software engineers and platform teams throughout the solution lifecycle, from requirements gathering and technical design through to deployment and continuous improvement. You'll also help strengthen data governance, improve data quality and identify opportunities to modernise data platforms using emerging technologies and engineering best practices.
Key responsibilities
• Design & develop scalable data pipelines and cloud-based data solutions
• Build & maintain ETL/ELT processes to support reporting and analytics
• Develop & optimise data models for trusted business insights
• Analyse & transform complex datasets to improve data quality and usability
• Create & enhance interactive dashboards and visualisations using Power BI
• Collaborate & engage with stakeholders to understand business requirements and translate them into technical solutions
• Support & contribute to solution architecture, data integration and technical design
• Produce & maintain technical documentation throughout the delivery lifecycle
• Participate & contribute to Agile delivery, DevOps and CI/CD practices
• Improve & promote data governance, metadata and information management standards
• Evaluate & recommend new technologies and approaches to enhance data engineering capabilities
• Monitor & optimise data products to ensure performance, reliability and business value
Required qualifications to be successful in this role
You'll be an experienced data professional with a passion for building modern cloud-based data solutions that deliver meaningful business insights. You'll combine strong technical expertise with excellent communication skills, enabling you to work effectively with both technical teams and business stakeholders. A proactive mindset, attention to detail and enthusiasm for continuous learning will help you thrive in this role.
Essential qualifications
• Experience designing and delivering data engineering or analytics solutions
• Strong Python skills (including Pandas, Flask and/or FastAPI)
• Strong SQL skills and experience working with relational databases
• Experience developing ETL/ELT pipelines and data transformation processes
• Experience with Microsoft Azure or equivalent cloud data platforms
• Experience developing dashboards and reports using Power BI
• Experience using Git and Azure DevOps
• Experience gathering business requirements and translating them into technical solutions
• Strong analytical, problem-solving and communication skills
• Experience working within Agile delivery teams and DevOps practices
• Degree in Computer Science, Data Science, Information Systems, Engineering or equivalent practical experience
Desirable qualifications
• Azure Blob Storage and/or Azure Data Lake Storage (ADLS)
• Azure Application Insights
• dbt
• Snowflake
• DataOps or GitLab experience
• Knowledge of data lakes, data warehouses and data fabric architectures
• Understanding of data governance, metadata and information management
• Azure, Snowflake or Power BI certifications
#LI-LW1
Environnement de travail
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.
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
Come join our team—one of the largest IT and business consulting services firms in the world.
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Data Insights Engineer – Azure, Python & Power BI
CGI

