At a Glance
- Tasks: Design and build scalable data pipelines to drive data-driven decisions.
- Company: Join a dynamic team in a modern tech environment in South Wales.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Make a real impact on large-scale digitalisation projects while growing your skills.
- Qualifications: Experience with Azure Data Factory, Python, and data modelling required.
The predicted salary is between 40000 - 50000 £ per year.
IntaPeople are excited to be appointed to recruit an experienced Data Engineer for a team that needs additional project resource for an interim period of time. You will be joining a small data team in this area of the business which will work with external partners to build out the organisations data capability offering. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platform that enable them to make data‑driven decisions. You’ll work closely with the ‘Head of Data Engineering’ to grow out this data function with the recruitment of further data engineering colleagues. You’ll be exposed to a wide range of projects that include internal and external suppliers.
Essential Skills
- Proven experience as a Data Engineer
- Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles.
- Experience of using programming languages such as Python, Scala and SQL.
- Demonstrable knowledge of data modelling and data warehousing within platforms such as Azure.
- Practical experience with Microsoft Azure services, including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud‑based architectures.
- Experience in using Git, Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery.
- Robust understanding of data governance, data quality, and metadata management.
- Experience of communicating technical information and data to a non‑technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions that meet user and organisational needs.
Key Responsibilities (at a glance):
- Lead on the introduction of foundational data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls.
- Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance, scalable storage, and robust integration and delivers adaptable and resource‑efficient data processing, meeting the organisation’s evolving analytical and operational demands.
- Work closely with data analysts, architects, devops Engineers, and business stakeholders through regular communication and collaborative planning to ensure data solutions are closely aligned with business objectives and effectively meet user needs.
- Transform raw data into meaningful insights by developing and maintaining tailored ETL (Extract, Transform, Load) processes enabling customised processes, empowering stakeholders to make informed decisions based on high‑quality, processed information.
- Managing the aspirations of a variety of stakeholders to enable successful project delivery can be challenging, especially when their priorities may differ or even conflict and require reconciliation to meet business and project needs.
Role overview
- Senior Data Engineer
- To come in and hit the ground running and start delivering quickly
- Expected 6-month project (with potential for extension or even temp to perm for the right candidate)
- To be based in their modern offices 2 days per week with the wider team
- A chance to truly contribute to large scale digitalisation projects within Wales.
- Start date ASAP
- IR35 status to be determined
- Location: commutable from Swansea, Bridgend, Cardiff, Newport and Bristol.
Data Engineer | 6 months in Cardiff employer: IntaPeople Limited
IntaPeople is an excellent employer for Data Engineers, offering a dynamic work environment in South Wales that fosters collaboration and innovation. With a strong focus on employee growth, you will have the opportunity to contribute to significant digitalisation projects while working alongside experienced professionals in a supportive hybrid setting. The company values a culture of trust and efficiency, ensuring that your contributions directly impact the organisation's data capabilities and decision-making processes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer | 6 months in Cardiff
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like IntaPeople Limited before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like IntaPeople Limited.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like IntaPeople Limited.
We think you need these skills to ace Data Engineer | 6 months in Cardiff
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at IntaPeople Limited, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to IntaPeople Limited, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab IntaPeople Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at IntaPeople Limited
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at IntaPeople Limited.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at IntaPeople Limited.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at IntaPeople Limited.
