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- Tasks: Build and maintain data pipelines using Databricks, PySpark, and Python.
- Company: Join CGI, a top-rated employer known for its inclusive culture.
- Benefits: Competitive salary, private healthcare, pension scheme, and career development support.
- Why this job: Make a real impact by transforming data into meaningful insights.
- Qualifications: Hands-on data engineering experience with SQL, Python, and Databricks.
- Other info: Hybrid role with opportunities for growth in a supportive community.
The predicted salary is between 28800 - 48000 £ per year.
At CGI, we help organisations harness the power of data to improve services, drive efficiency, and deliver meaningful outcomes. As a Data Engineer, you will contribute to a modern, large-scale data platform, building reliable and scalable pipelines that enable trusted insight and better decision-making. Working within a collaborative delivery environment, you will apply strong engineering practices, take ownership of your solutions, and continuously improve how data is designed, processed, and consumed. You will be supported to develop your skills, share ideas, and grow your career while delivering work that makes a real difference.
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, with an on-site presence in Swansea two days per week.
Responsibilities- Build & Deliver: Develop and maintain Databricks pipelines, including Delta Live Tables, using PySpark and Python.
- Ensure Quality: Maintain data quality, consistency, and lineage across all data sources and destinations.
- Orchestrate & Monitor: Implement orchestration, scheduling, and monitoring to ensure reliable data operations.
- Collaborate & Align: Work with data team members to ensure alignment with target architecture and best practices.
- Troubleshoot & Improve: Identify and resolve data issues across development and production environments.
- Document & Share: Maintain clear technical documentation for pipelines, jobs, and integrations.
Required Qualifications
To be successful, you will have hands-on data engineering experience, a strong technical foundation, and the ability to work collaboratively in structured delivery environments. You should be comfortable owning your work while contributing positively to team outcomes.
- Experience using Databricks, including Delta Live Tables (DLTs).
- Strong skills in SQL, Python, and PySpark.
- Experience working with SSIS packages.
- Proven experience building and maintaining data pipelines.
- Good understanding of data quality, consistency, and lineage.
Desirable Experience
Exposure to AWS or Azure cloud platforms. Strong data modelling and data transformation experience. Knowledge of CI/CD, version control, and DevOps practices for data. Experience with data quality, testing, and observability tooling. Familiarity with JIRA and Confluence.
Life at CGI is rooted in ownership, teamwork, respect and belonging. You are invited to be an owner from day 1 as we work together to bring our Dream to life. CGI Partners share in collective success and actively shape the company's strategy and direction. Your work creates value with innovative solutions, and you will build relationships with teammates and clients while accessing global capabilities to scale your ideas and broaden your horizons. You will be supported by leaders who care about your health and well-being and provide opportunities to deepen your skills.
Data Engineer in Swansea employer: Women In Tech
Contact Detail:
Women In Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Swansea
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the data engineering field. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Databricks, PySpark, and Python. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Don’t be shy about reaching out directly to companies you’re interested in, like CGI. A friendly email expressing your interest can go a long way. Plus, applying through our website gives you a better shot at being noticed!
✨Tip Number 4
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines and quality assurance. Practising common interview questions can help you feel more confident and ready to impress.
We think you need these skills to ace Data Engineer in Swansea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with Databricks, SQL, Python, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at CGI. Let us know what excites you about the role and how you can make a difference.
Showcase Your Projects: If you've worked on any data pipelines or projects, don’t hesitate to mention them! Include specific examples of how you’ve built and maintained data solutions, and any challenges you overcame. This will help us see your problem-solving skills in action.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Women In Tech
✨Know Your Tech Inside Out
Make sure you brush up on your skills in SQL, Python, and PySpark. Be ready to discuss your hands-on experience with Databricks and Delta Live Tables. They’ll likely ask you to explain how you've built and maintained data pipelines, so have some solid examples at the ready.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you resolved them. Highlight your troubleshooting abilities and any improvements you've made to data quality or pipeline efficiency. This will demonstrate your ownership and proactive approach.
✨Understand the Company Culture
Familiarise yourself with CGI's values around teamwork, respect, and ownership. Think of ways you can contribute to their collaborative environment and be prepared to share how you align with their mission of turning insights into action.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their data architecture, the tools they use for CI/CD, or how they ensure data quality. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
