At a Glance
- Tasks: Design and build scalable data pipelines to drive data-driven decisions.
- Company: Join a fast-growing not-for-profit in South Wales with a collaborative culture.
- Benefits: Competitive salary, flexible working, 28 days leave, and free rail travel in Wales.
- Other info: Great career progression opportunities and a chance to work on industry-changing projects.
- Why this job: Be a pioneer in a new data function and make a real impact on digitalisation projects.
- Qualifications: Experience in data engineering, Azure services, and programming languages like Python and SQL.
The predicted salary is between 55000 - 60000 £ per year.
IntaPeople are proud and excited to be appointed to recruit an experienced Data Engineer for a Welsh-based not-for-profit sector client on an exclusive recruitment project. This is a very exciting opportunity to join their fast-growing Data function in this newly created position. You will be joining the data team as one of the first employees in this area of the business which will work with external partners to build out the organisation's data capability offering. As an experienced Data Engineer, you will be responsible for designing, building, and maintaining robust, scalable, and secure data pipelines and platforms that enable them to make data-driven decisions.
In this newly created role 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 will also get the opportunity to progress into a leadership role if this suits the individual’s desires and capabilities. You’ll be exposed to a wide range of projects that include internal and external suppliers, with annual budgets spreading from £1M- £2M+.
Essential Skills- Proven experience as a Data Engineer (or similar/related role)
- 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.
- 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.
- A salary of circa £55,000 - £60,000 (depending on experience)
- 28 days annual leave + public bank holidays
- A flexible working environment
- Competitive Legal and General pension Scheme (8% contribution)
- 4 x Death in service
- Free Rail travel in Wales (and heavily discounted throughout the UK)
- The opportunity to work on modern and industry changing projects
- Progression and development opportunities
- Salary sacrifice scheme such as – cycle to work, electric vehicle
- To be based in their brand new, modern offices 1-3 days per week with the wider team in Pontypridd
- A chance to truly contribute to large scale digitalisation projects within Wales
Data Engineer in Cardiff employer: IntaPeople Limited
Join a forward-thinking not-for-profit organisation in Pontypridd, where you will play a pivotal role in shaping their data capabilities as a Data Engineer. With a strong emphasis on employee growth, you will have the opportunity to progress into leadership roles while working on impactful projects that drive digital transformation across Wales. Enjoy a flexible working environment, competitive benefits, and the chance to make a meaningful contribution to the community.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Cardiff
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IntaPeople Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at IntaPeople Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IntaPeople Limited.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer in Cardiff
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at IntaPeople Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at IntaPeople Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at IntaPeople Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at IntaPeople Limited!
✨Prepare for Case Studies
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.
