At a Glance
- Tasks: Architect and build a modern data estate to improve lives through data.
- Company: Not-for-profit organisation focused on meaningful impact and service delivery.
- Benefits: Competitive salary, generous holiday, pension, gym discounts, and health cash plan.
- Other info: Hybrid working model with opportunities for mentorship and collaboration.
- Why this job: Make a real difference while working in a greenfield environment with cutting-edge tech.
- Qualifications: Expertise in data engineering, SQL, Python, and cloud platforms like Azure.
The predicted salary is between 45000 - 55000 £ per year.
Hybrid working – Bridgend, South Wales
Are you a Data Engineer who’d enjoy making a big impact by architecting and building a modern data estate, in a greenfield environment, for a not-for-profit organisation where your data expertise will genuinely make people’s lives better? Our client has embarked on modernising its technology to improve service delivery for its customers & improve business efficiency.
This opportunity will see you:
- Design & implement the Azure Databricks infrastructure for future data, BI and AI capabilities. Scalability & data security are paramount.
- Deliver Ingestion, Transformation and Governance of data from key applications that support a reliable “single version of the truth” for reporting and analytics.
- Design & deploy secure, scalable ETL or ELT pipelines with Databricks, Delta Lakehouse & Azure Data Lake Storage (ADLS).
- Establish & embed DataOps & DataSecOps practices (CI/CD, version control and automated security scanning of data pipelines).
- Increase the capability of the Power BI Architecture.
- Enable reporting / BI for informed business decision making and consider the benefits AI can deliver.
Your contribution will really improve people’s lives and, through organisation efficiencies & BI, services can be offered to more customers in need. It's truly meaningful. There’s also the opportunity to mentor team members, collaborate with colleagues and the business if you wish.
ABOUT YOU
We’d like to hear from you if you bring expertise in:
- Data engineering architectural principles with proven data systems design.
- SQL and Python with an understanding of medallion architecture.
- Implementing & operating cloud-based data platforms, ideally Azure and Databricks OR you might have worked with MS Fabric (or similar) and like to transfer to Databricks.
- Be excited to build something really well in a greenfield environment without legacy.
- Making the right technical decisions to deliver something great.
DESIRABLE (not essential)
- Power BI security & admin.
Salary: circa £63,000 Plus benefits including 25 days hols + 8 days public rising to 30 days, pension, discounted gym membership, holiday purchase, retail discounts, Health Cash Plan and more.
Hybrid Working: 2 days a week in the Bridgend Office, 3 days a week from home.
Senior Data Engineer in Bridgend employer: Genium Selection
Genium Selection is an excellent employer, offering a dynamic work culture that values flexibility and collaboration. With opportunities for professional growth in the rapidly evolving field of quality assurance, employees benefit from a supportive environment that encourages innovation and skill development. Located in the United Kingdom, the company provides a unique chance to work on significant ERP projects while enjoying a hybrid work model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer 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 Genium Selection!
✨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 at Genium Selection.
✨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 Genium Selection.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Genium Selection, 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!
We think you need these skills to ace Senior Data Engineer in Bridgend
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 Genium Selection, 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 Genium Selection. 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 Genium Selection
✨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 Genium Selection!
✨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.
