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 hours, and private medical care.
- Other info: Enjoy hybrid working and excellent career growth opportunities.
- Why this job: Make a real impact on modern data solutions in a dynamic environment.
- Qualifications: Strong Python and SQL experience, plus Azure Data Factory skills.
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 to its benefits and features
Key Responsibilities
- Reporting into the Director of Data Engineering and working closely with other Data Engineers and Analysts within the business
- You will be 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
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.
Senior Software Engineer employer: IntaPeople
IntaPeople is an exceptional employer, offering a dynamic and collaborative work environment that fosters professional growth and innovation. With a focus on cloud transformation in South Wales, employees benefit from competitive salaries, ongoing development opportunities, and the chance to work with cutting-edge technologies in AWS and Azure. Join us to be part of a team that values your expertise and encourages meaningful contributions to secure cloud infrastructure.
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We think this is how you could land Senior Software Engineer
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We think you need these skills to ace Senior Software Engineer
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!
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✨Brush Up on Your Statistics
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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.
