At a Glance
- Tasks: Build scalable data pipelines and collaborate with teams to drive impactful data solutions.
- Company: Join Vitality, a forward-thinking company that values innovation and teamwork.
- Benefits: Enjoy competitive salary, bonus schemes, health insurance, and a generous pension plan.
- Other info: Flexible working options and a commitment to your personal and professional growth.
- Why this job: Make a real difference with data while advancing your career in a supportive environment.
- Qualifications: 5+ years in data engineering, strong BI and data management skills required.
The predicted salary is between 60000 - 75000 £ per year.
Team – Data and Information Services
Working Pattern - Hybrid – 2 days per week in the Vitality Bournemouth or London Office. Full time hours per week. We are happy to discuss flexible working!
Top 3 skills needed for this role:
- Proven delivery of scalable data solutions
- Demonstrated expertise in modern data engineering practices
- Established capability in stakeholder engagement and cross-team collaboration
What this role is all about:
We’re looking for a Senior Data Engineer who’s passionate about using data to make a positive impact. You’ll take ownership of building scalable data pipelines, working independently while collaborating with teams across the business. As a trusted expert, you’ll communicate clearly, support data science delivery, and coach others, while continuously exploring new ways to improve our technology and bring fresh data into the organisation.
Key Actions:
- Work closely with our Data Engineering team to deliver reliable, high-quality data that powers strong data flows and predictive models
- Use a range of languages and tools to build and manage robust data pipelines across multiple systems
- Contribute to key decisions that drive a strong, outcome-focused (SWAT) approach
- Explore new opportunities to bring in data and unlock more value from what we already have
- Collaborate with Data Science, Analytics, Architecture and wider tech teams to design, build, test and maintain scalable data environments
- Understand GDPR principles and confidently raise any concerns where needed
- Show genuine curiosity for new technologies and a strong interest in the Vitality business
- Support and mentor fellow Data Engineers to help the team grow
- Listen actively to both technical and business needs, and communicate complex ideas in a clear, accessible way
- Spot potential challenges early and proactively shape solutions that build trust and deliver great outcomes
What do you need to thrive?
- Bachelor’s degree in IT, Systems, Sciences or Maths
- 5+ years’ experience across BI, data warehousing, data management and ETL
- Strong experience delivering data solutions in BI warehouses and/or data lakes (on-prem & cloud)
- Hands‑on with Big Data tools, data ingestion and streaming
- Experience working with data lakes and visualisation (incl. semantic modelling)
- Strong understanding of data architecture
- Confident stakeholder engagement and cross-team collaboration
- Passion for sharing knowledge and supporting team development
So, what’s in it for you?
- Bonus Schemes – A bonus that regularly rewards you for your performance
- A pension of up to 12% – We will match your contributions up to 6% of your salary
- Our award‑winning Vitality health insurance – With its own set of rewards and benefits
- Life Assurance – Four times annual salary
These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!
If you are successful in your application and join us at Vitality, this is our promise to you, we will:
- Help you to be the healthiest you’ve ever been
- Create an environment that embraces you as you are and enables you to be your best self
- Give you flexibility on how, where and when you work
- Help you advance your career by playing you to your strengths
- Give you a voice to help our business grow and make Vitality a great place to be
- Give you the space to try, fail and learn
- Provide a healthy balance of challenge and support
- Recognise and reward you with a competitive salary and amazing benefits
- Be there for you when you need us
- Provide opportunities for you to be a force for good in society
We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.
Senior Data Engineer in Bournemouth employer: 慨正橡扯
At Vitality, we pride ourselves on being an exceptional employer that champions employee well-being and growth. With a hybrid working model based in the vibrant cities of Bournemouth or London, we offer flexible working arrangements, competitive bonuses, and an extensive benefits package, including award-winning health insurance and a generous pension scheme. Our collaborative work culture encourages innovation and personal development, making it an ideal environment for Senior Data Engineers to thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Bournemouth
✨Get Involved in Data Science Meetups
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✨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 慨正橡扯.
✨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 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at 慨正橡扯, 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 Bournemouth
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 慨正橡扯, 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 慨正橡扯. 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 慨正橡扯
✨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 慨正橡扯!
✨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.
