Data Engineer
Data engineers contribute by building scalable data pipelines and cloud infrastructure using a dynamic and cutting-edge tech stack 📊
Your challenge
Exciting developments are happening, offering opportunities for businesses to innovate and gain a competitive edge. Now is the time to join us and leverage those technical skills to create real impact together with a cross functional team on the most innovative projects for clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging the latest multi-agent frameworks for product innovation, building data lakes on cloud platforms to improve storage or implementing sensors for quality control. You can find it all at ML6.
As a Data Engineer, you'll contribute to this by building scalable data pipelines and cloud infrastructure using a dynamic and cutting-edge tech stack.
- Be a true consultant and efficiently translate customer business needs into end-to-end technical (data/ML) solutions and effectively communicate them to business stakeholders
- Keep up with and apply state of the art research
- Conceptualize, design and implement data and cloud architecture
- Build and deploy batch and streaming data pipelines
- Build and deploy production ready applications on Cloud
- Collaborate with internal and external stakeholders like: Software Engineers, Project Managers, and clients
- Work with a wide range of technologies, such as:
GCP, Azure or/and AWS, Python, Kubernetes, Dataflow / Apache Beam, Terraform, Flask / Connexion, BigQuery, DBT, ...
Why you?
- A bachelor’s or master’s degree in computer science or a related field
- 2+ years of professional experience as a data, software or ML engineer or an ambitious young graduate with a passion for data
- Excellent verbal and written communication skills in English (German/Dutch are a big plus)
- Worked extensively with Python, SQL and Git
- Experience with cloud based solutions is a plus
- A talent for communicating results clearly and effectively, also to non-technical stakeholders
- A consultant mindset and passionate about technology
- Flexible, curious and willing to embrace change for the better
- Familiar with AI/Machine Learning
- Experience in one of our focus domains is a plus: GenAI, Bio, Ops, Energy or Digital Twins
Why ML6?
Looking for a dynamic environment where you can create real business impact with AI? Look no further. Don’t expect a big corporate organisation with pre-defined jobroles and plans for the coming years. Expect the unexpected. Growth, change and impact. Expect to work for the most innovative and biggest companies across countries. Expect exponential personal growth in your career.
We aim to be a frontrunner in pay equality/equity. We have a bold vision on fairness, transparency and are impact driven in our way of rewarding. We believe that people should be paid based on their impact they make for the company and not their gender, background or negotiation skills. We provide attractive salary packages for your expertise and an optimised benefits program where we stay true to our caring and learning goals. In a nutshell, we've built a place where we truly love working, we think you will too.
Scroll down to find out more about why others choose ML6! 👇
Note that we are looking for multiple talents for this role over the year to accelerate their career with us.
- Department
- Advisory & Delivery unit 💻
- Locations
- Office Berlin 📍, Office Amsterdam 📍, Office Ghent 📍
- Employment type
- Full-time
Why others choose ML6 🤝
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Create intelligence with a lasting positive impact
As a leader in AI, we work hard to ensure that AI is designed, developed and deployed to create positive impact. We take our responsibility to build secure and sustainable technology seriously and have integrated ethics within our way of working. This shows in every client case and do good projects we do.
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Innovate and share knowledge
Learning is part of our DNA. Whether it's through our team's expertise where you'll be surrounded by the most brilliant minds, creating spin-offs or the latest tech breakthrough, our culture will empower you to deliver top-notch AI solutions to our customers. We organise chapter conferences, guest lectures, meet ups, dedicate time to research, blogposts, a personal training catalog and so much more.
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We achieve more together
Expect to build lasting relationships that extend beyond the office walls. Thanks to our collaborative and diverse culture, we achieve the extraordinary. From our ML6 agents to our ML6 Maffia, we’ve created a safe environment where mutual trust and open feedback is cherished. To foster our interpersonal connections, we love to see each other's pretty faces at the office.
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Fast growing and international
We're gearing up for our next growth milestone. Don’t expect a big corporate organisation with pre-defined jobroles and plans for the coming years. Expect the unexpected. Growth, change and impact. Expect to work for the most innovative and biggest companies across countries. Expect exponential personal growth in your career.
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Byte size Benefits
Last but not least, we provide an attractive salary package for your expertise and an optimised benefits program where we stay true to our caring and learning goals. In a nutshell, we've built a place where we truly love working, we think you will too.
📽️ Working as a Data Engineer
About ML6
We guide the AI revolution towards positive impact. 🌐
At ML6, we partner with forward-thinking leaders to transform business models through innovative AI technology. From strategic planning to seamless implementation, our AI services help leverage AI to drive innovation, efficiency, and growth.
As ML6 highly values diversity, inclusion and transparent communication, we've implemented a formal channel to report serious misconduct here.
Examples of serious misconduct (not limited to): safety of the individual (aggression, discrimination, sexual harassment), data privacy issues, public health, tax and fraud.
Data Engineer
Data engineers contribute by building scalable data pipelines and cloud infrastructure using a dynamic and cutting-edge tech stack 📊
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