At a Glance
- Tasks: Build and optimise ETL pipelines to unlock data's potential for machine learning solutions.
- Company: Join a forward-thinking company driving sustainable innovations across various industries.
- Benefits: Enjoy competitive pay, health perks, and opportunities for lifelong learning.
- Other info: Flexible hybrid or remote work options with a culture that values diversity and inclusion.
- Why this job: Make a real impact by shaping how we use data for smarter customer solutions.
- Qualifications: Experience in data engineering, SQL, Python, and cloud platforms like Azure.
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.
You will:
- 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
- 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).
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 employer: Atlas Copco
As a Data Engineer with us, you will be part of a forward-thinking team that values innovation and sustainability, working with cutting-edge technologies to drive impactful solutions across various industries. Our culture fosters trust, accountability, and lifelong learning, providing ample opportunities for career growth while enjoying a flexible hybrid or fully remote work arrangement from our Global Technology Centre in Burgess Hill, UK. Join us to contribute to meaningful projects that shape a better tomorrow and thrive in an inclusive environment where diverse perspectives are celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help you get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and data projects. This gives you a chance to demonstrate your hands-on experience and creativity.
✨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 techies and non-techies.
✨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 genuinely interested in joining us.
We think you need these skills to ace Data Engineer
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 platforms you've worked with, especially Microsoft Azure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your skills align with our mission. Share specific examples of your past work that demonstrate your problem-solving abilities and proactive mindset.
Showcase Your Communication Skills:Since you'll be collaborating with both technical and non-technical teams, make sure to highlight your communication skills in your application. We want to see how you can convey complex data insights clearly to various 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’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Atlas Copco
✨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 Skills
Since the role requires proficiency in SQL and Python, it’s a good idea to review key concepts and be prepared to solve some coding problems during the interview. Practising common data engineering tasks can really help you shine.
✨Show Off Your Cloud Knowledge
Familiarise yourself with cloud-based platforms, especially Microsoft Azure. Be prepared to discuss how you've used these technologies in past roles and how they can benefit the company’s data solutions.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with both technical and non-technical teams. This will demonstrate your ability to bridge the gap between different stakeholders.
