At a Glance
- Tasks: Design and implement data solutions to support community-focused projects.
- Company: Not-for-profit housing association dedicated to creating safe, affordable homes.
- Benefits: Competitive salary, hybrid working, and a commitment to community development.
- Other info: Join a diverse team committed to sustainability and community wellbeing.
- Why this job: Make a real difference in people's lives while advancing your data engineering skills.
- Qualifications: Experience in data engineering and a passion for social impact.
The predicted salary is between 63000 - 63000 £ per year.
Your new company is a not-for-profit housing association established in 2003 as the first large-scale voluntary transfer of council-owned homes to a social housing provider in Wales. The organisation is rooted in its mission to provide safe, high-quality and affordable homes across Bridgend and South Wales, creating thriving communities where people feel secure, supported, and proud to live.
Today, the business manages over 6,000 homes, alongside nearly 700 leasehold flats, a portfolio of commercial properties, and more than 1,100 garages, supporting thousands of residents across the region. As a purpose-driven organisation, its core focus is to deliver homes and places where people feel safe and happy, while helping individuals live independently and confidently.
With around 131 employees and a commitment to community development and sustainable living, they continue to play a vital role in local regeneration and social wellbeing. The organisation works to build strong partnerships, enhance resident engagement, and embed environmental sustainability into every part of its operations.
The organisation is also dedicated to nurturing inclusive communities and has pledged to uphold strong equality, diversity and inclusion values across all aspects of its work.
Senior Data Engineer - Hybrid (Permanent) in Bridgend employer: Hays
As a not-for-profit housing association, this company offers a fulfilling work environment where employees can contribute to meaningful community development and social wellbeing in Bridgend and South Wales. With a strong commitment to equality, diversity, and inclusion, alongside opportunities for professional growth and a hybrid working model, it fosters a supportive culture that empowers its staff to make a real difference in the lives of residents. Join a dedicated team that values sustainability and collaboration, making it an excellent employer for those seeking impactful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid (Permanent) in Bridgend
✨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 Hays!
✨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 Senior Data Engineer - Hybrid (Permanent) at Hays.
✨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 Hays.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - Hybrid (Permanent) at Hays, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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 Hays, 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 Hays. 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 Hays
✨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 Hays!
✨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.
