At a Glance
- Tasks: Build and optimise ETL pipelines for cutting-edge machine learning solutions.
- Company: Join a forward-thinking company driving sustainable innovations across various industries.
- Benefits: Enjoy a culture of trust, lifelong learning, and comprehensive compensation.
- Other info: Flexible remote work options with opportunities for career growth.
- Why this job: Make a real impact by unlocking the power of data for smarter customer solutions.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms like Azure.
The predicted salary is between 45000 - 60000 £ 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
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 - Remote/Hybrid, ML-Driven Pipelines 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, ensuring that our employees thrive in a collaborative environment. Enjoy the flexibility of hybrid or remote work arrangements while contributing to groundbreaking solutions that impact various industries from renewable energy to medical research.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Remote/Hybrid, ML-Driven Pipelines in Burgess Hill
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and data projects. It’s a great way to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss how you've tackled data challenges in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! 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 - Remote/Hybrid, ML-Driven Pipelines in Burgess Hill
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with ETL pipelines and any relevant tools like SQL and Python. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about working with us and how your background aligns with our goals. Don’t forget to mention your proactive mindset and curiosity – we love that!
Showcase Your Projects:If you've worked on any cool data projects, make sure to include them in your application. Whether it's building data pipelines or optimising performance, we want to see what you've done and how it relates to the role.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our innovative team. Let’s build a better tomorrow together!
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 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 examples where you've successfully communicated insights to stakeholders and how it impacted decision-making.
✨Emphasise Your Proactive Mindset
Be prepared to share instances where you've taken the initiative to improve data solutions or processes. Highlight your curiosity and willingness to learn, as this aligns well with the company's culture of innovation and continuous improvement.
