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 career growth.
- Why this job: Make a real impact by shaping how we use data for smarter customer 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
To succeed, you will need
We encourage you to apply even if you don't meet every single requirement. We value diverse experiences and perspectives and are excited to see what you bring to the role. 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).
Data Engineer in Burgess Hill employer: Atlas Copco Airpower N.V.
Join a forward-thinking company that champions innovation and sustainability, where as a Data Engineer, you will be at the forefront of transforming data into actionable insights. With a culture rooted in trust and accountability, we prioritise lifelong learning and career growth, offering comprehensive benefits to support your health and well-being. Our hybrid working model allows for flexibility, while occasional travel to our Global Technology Centre in Burgess Hill provides unique opportunities for collaboration and professional development.
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 people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and data projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission for a better tomorrow.
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. We want to see how your skills align with our mission of driving cutting-edge machine learning solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our journey for a better tomorrow. Don’t forget to mention any relevant projects or experiences that showcase your proactive mindset.
Showcase Your Communication Skills:Since you'll be collaborating with both technical and non-technical teams, it's crucial to demonstrate your ability to communicate insights clearly. Use examples in your application that highlight how you've effectively shared findings with diverse stakeholders.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Atlas Copco Airpower N.V.
✨Know Your ETL Inside Out
Make sure you can talk confidently about your experience with ETL pipelines. Be ready to discuss specific projects where you've built or maintained these pipelines, and highlight any challenges you faced and how you overcame them.
✨Brush Up on Your Tech Stack
Familiarise yourself with the tools and languages mentioned in the job description, especially SQL and Python. If you have experience with Microsoft Azure or DataBricks, prepare examples of how you've used these technologies to solve data problems.
✨Show Off Your Communication Skills
Since you'll be working with both technical and non-technical teams, practice explaining complex data concepts in simple terms. Think of a few examples where you've successfully communicated insights to stakeholders and be ready to share those stories.
✨Emphasise Your Proactive Mindset
Prepare to discuss how you've continuously improved data solutions in your previous roles. Share specific instances where your curiosity led to better outcomes, whether through optimising pipelines or implementing new processes.
