At a Glance
- Tasks: Build scalable data pipelines and collaborate with teams to drive impactful data solutions.
- Company: Join Vitality, a forward-thinking company focused on data-driven innovation.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Hybrid work model with a dynamic team environment and career advancement opportunities.
- Why this job: Make a real difference by leveraging data to enhance business outcomes.
- Qualifications: 5+ years in data engineering with strong collaboration and communication skills.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Vitality to hire for this role.
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
Senior Data Engineer in Bournemouth employer: Hackajob
Vitality is an exceptional employer that fosters a collaborative and innovative work culture, particularly within its Data and Information Services team. With a hybrid working model based in the vibrant cities of Bournemouth or London, employees enjoy flexibility while contributing to impactful data solutions. The company prioritises employee growth through mentorship opportunities and encourages exploration of new technologies, making it an ideal place for those passionate about data and looking to make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Bournemouth
✨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 Hackajob!
✨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 Hackajob.
✨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 Hackajob.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Hackajob, 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 Hackajob, 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 Hackajob. 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 Hackajob
✨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 Hackajob!
✨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.
