At a Glance
- Tasks: Unlock the power of data to drive innovative machine learning solutions.
- Company: Join a forward-thinking company focused on sustainable innovations across various industries.
- Benefits: Enjoy a culture of trust, lifelong learning, and comprehensive compensation.
- Other info: Flexible hybrid or remote work options with opportunities for travel.
- Why this job: Make a real impact by shaping how we use data for smarter solutions.
- Qualifications: Experience in building ETL pipelines and proficiency in SQL and Python.
The predicted salary is between 45000 - 55000 £ per year.
Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations. Join us on our journey for a better tomorrow.
Your role
As a Data Engineer, your mission is to play a key role in a fast‑growing business transformation team, unlocking the power of data to drive cutting‑edge machine learning solutions. You will help build the foundations that enable predictive insights into vacuum asset performance, shaping how we use data to anticipate failures and deliver smarter, more proactive customer solutions. You will report to the Data Analytics & Solutions Architecture Team Lead.
- Build and develop robust ETL pipelines, creating accessible and well‑structured datasets in a Data Lake.
- Ensure data pipelines are reliable, monitored, and automatically report issues.
- Enable programmatic access to data for Data Scientists and analytics teams.
- Optimise performance of business‑critical pipelines, defining and tracking key metrics.
- Collaborate with cross‑functional teams to integrate subject matter expertise into data solutions.
- Define requirements for data linkage and quality checks to enable automated pre‑processing.
- Support best practices through participation in design discussions and code reviews.
- Communicate insights and findings clearly to a range of stakeholders.
You Have Experience Working As a Data Engineer Including
- Strong hands‑on experience building and maintaining ETL/data pipelines.
- Proficiency in data engineering tools and languages such as SQL and Python.
- Experience working with cloud‑based data platforms (ideally Microsoft Azure).
- Familiarity with big data technologies such as DataBricks.
- Strong communication skills, with the ability to work effectively across technical and non‑technical teams.
- A proactive and curious mindset, with a drive to continuously improve data solutions.
In return, we offer
- Culture of trust and accountability.
- Lifelong learning and career growth.
- Innovation powered by people.
- Comprehensive compensation and benefits.
- Health and well‑being.
Job location
This role offers a hybrid or fully remote working arrangement, there may be some travel required to our Global Technology Centre in Burgess Hill, United Kingdom (GB).
Contact information
Talent Acquisition Team: Jessica Timperley
Diverse by nature and inclusive by choice. Bright ideas come from all of us. The more unique perspectives we embrace, the more innovative we are. Together we build a culture where difference is valued and we share a deep sense of purpose and belonging.
Data Engineer in Burgess Hill employer: Edwards Vacuum
As a Data Engineer with us, you will be part of a forward-thinking team that values innovation and collaboration, working on groundbreaking solutions across various industries. Our culture fosters trust and accountability, offering lifelong learning and career growth opportunities, alongside comprehensive benefits to support your health and well-being. With the flexibility of hybrid or remote work arrangements and the chance to engage with cutting-edge technologies at our Global Technology Centre in Burgess Hill, this is an excellent opportunity for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Burgess Hill
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and data projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your past projects and how you've tackled challenges in data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Engineer in Burgess Hill
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with ETL pipelines, SQL, and Python, and don’t forget to mention any cloud-based platforms you've worked with, especially Microsoft Azure.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data engineering and how your skills can help us drive innovative solutions. Be sure to connect your experiences to our mission for a better tomorrow.
Showcase Your Projects:If you’ve worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing how you’ve applied your skills in real-world scenarios, especially if they involve big data technologies like DataBricks.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Edwards Vacuum
✨Know Your Tech Stack
Make sure you’re well-versed in the tools and languages mentioned in the job description, like SQL and Python. Brush up on your experience with ETL pipelines and cloud platforms, especially Microsoft Azure, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've optimised data pipelines or solved complex data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly demonstrate your impact.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining technical concepts in simple terms. Be ready to discuss how you’ve collaborated with both technical and non-technical teams in the past.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and the technologies they use. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
