Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build Python-based ETL pipelines while collaborating with stakeholders.
- Company: Join a forward-thinking digital engineering team in Cardiff.
- Benefits: Competitive salary, annual bonus, flexible working, and private medical care.
- Other info: Enjoy 25 days holiday, hybrid work setup, and excellent career growth.
- Why this job: Make a real impact on data solutions in a modern tech environment.
- Qualifications: Strong Python, SQL, and Azure experience required.
The predicted salary is between 55000 - 60000 £ per year.
IntaPeople are hiring for a mid-senior level Data Engineer to join a growing digital engineering team working on modern technology platforms. You'll work alongside an established BI & Data team to play a role in an active phase of platform modernisation. The successful candidate will join a small, collaborative team of data engineers and analysts delivering work across the full data lifecycle, from extraction and transformation through to data modelling and reporting. This role sits at the heart of a growing data engineering capability in Cardiff.
You'll be actively involved in delivering high‐quality data solutions, while acting as a trusted reference point for best practice across the team. From shaping and delivering ETL workflows to collaborating directly with stakeholders, your work will help ensure data platforms evolve in line with the organisation's expanding requirements. You will be working primarily within the Microsoft Azure ecosystem, including Azure SQL Server, Azure Data Factory, and Azure DevOps.
Required Skills- Strong Python experience for data engineering
- Strong experience working with SQL Server
- Strong experience working with Azure Data Factory and Azure DevOps
- Hands-on experience with data lake platforms, Azure Synapse, Databricks, or equivalent experience/skills
- Experience with tooling such as CI/CD pipelines and version control
- The ability to lead feature specifications and work closely with key business stakeholders
- Adopting an AI-first approach to development and being inquisitive about its benefits and features
- Reporting into the Director of Data Engineering and working closely with other Data Engineers and Analysts within the business
- Responsible for the design, build, and maintenance of Python-based ETL pipelines
- Accounting and leading the SQL development
- Data lake development within Azure Synapse, working to the organisation's architecture standards
- Meeting with business stakeholders to define requirements and translate them into solution designs
- Keeping stakeholders informed on the status of data initiatives
- Producing technical documentation: solution designs, data dictionaries, and engineering runbooks
- Reviewing and guiding the work of less experienced members of the team
- Contributing to solution design discussions and architecture decisions
Starting Salary of £55,000 - £60,000
Annual bonus scheme between 10%-20%
25 days holiday allowance (which increases with service)
Central Cardiff office location
True Flexible working hours
Hybrid working setup – expectations are typically 2-3 days per week
Private Medical care
Company wide trips
Group Life Assurance, Income Protection & Critical Illness cover
Matched pension contribution
Cycle to work scheme
If you're an experienced Data Engineer looking to make an impact in a modern, forward-thinking team, this is a great opportunity. Please note we do not have the ability to provide sponsorship and candidates must only apply who have the ability to work without restriction within the UK.
Interested? Click apply now with your CV or call (phone number removed) for a chat.
Senior Data Engineer in Cardiff employer: IntaPeople
Contact Detail:
IntaPeople Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python ETL pipelines and any projects you've done with Azure Data Factory. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Azure knowledge. Be ready to discuss how you've tackled challenges in previous roles, especially around data modelling and stakeholder collaboration.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your strong Python experience, SQL Server expertise, and familiarity with Azure Data Factory. We want to see how you fit into 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 needs. Don’t forget to mention your experience with ETL workflows and collaboration with stakeholders.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them! Whether it's data lake development or CI/CD pipelines, we love seeing real-world applications of your skills. This helps us understand your hands-on experience better.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at IntaPeople
✨Know Your Tech Stack
Make sure you’re well-versed in the Microsoft Azure ecosystem, especially Azure SQL Server, Azure Data Factory, and Azure DevOps. Brush up on your Python skills too, as they’ll be crucial for building those ETL pipelines.
✨Showcase Your Collaboration Skills
Since this role involves working closely with stakeholders, be prepared to discuss how you've successfully collaborated in the past. Share specific examples of how you’ve translated business requirements into technical solutions.
✨Prepare for Technical Questions
Expect questions about data lake platforms and CI/CD pipelines. Be ready to explain your experience with Azure Synapse or Databricks, and how you’ve implemented best practices in your previous roles.
✨Demonstrate Leadership Potential
Even if you're not in a formal leadership role, highlight instances where you've guided less experienced team members or contributed to solution design discussions. This will show that you can be a trusted reference point for best practices.