Overview

Please note that we are not actively hiring for this role at the moment. We encourage you to apply to join our talent pool. We will be in touch as soon as we start hiring for this role again.

At ML6, we believe in using the full potential of artificial intelligence to spark innovation, increase efficiency, accelerate growth, and create lasting impact.

Our mission is clear: ensure that the next wave of technological breakthroughs drives progress not just for businesses, but for humanity as a whole. We bring AI ambitions to life.

As a Data Engineer, you will be at the heart of our projects. You\'ll work closely with our team and clients to transform complex problems into scalable data solutions by building scalable data pipelines and cloud infrastructure using a dynamic and cutting-edge tech stack.

YOUR IMPACT

Architect & Design: Design and model effective databases, data warehouses, and robust cloud infrastructure using cloud native solutions such as BigQuery, Dataflow, or DBT Cloud in collaboration with clients and internal teams
Build & Deploy: Create and manage reliable batch and streaming data pipelines, and deploy production-ready applications on the cloud using GCP , Azure or AWS .
Solve & Innovate: Translate business requirements into end-to-end technical solutions and effectively communicate your ideas to both technical and non-technical stakeholders.
Learn & Grow: Continuously explore and apply new technologies, helping our team stay at the forefront of the data and ML landscape.

Our Tech Stack:

Core Language: Python
Cloud Platforms: GCP, Azure, and/or AWS
Data Warehousing & Transformation: BigQuery, DBT
Data Processing & Orchestration: Dataflow / Apache Beam, Airflow
Infrastructure & Containers: Terraform, Kubernetes
APIs & Web Frameworks: FastAPI, Flask / Connexion

WHY YOU

Minimum requirements:

Foundation: A degree in Computer Science, Engineering or a related field.
Experience : A minimum of 2 years of relevant professional experience.
Technical Skills : Experience with Python, version control (Git) and SQL and a solid understanding of ML/ software engineering principles.
Communication : Excellent verbal and written communication skills in English. You can confidently explain complex technical ideas to both technical and non-technical audiences.
A consultative mindset and strong sense of ownership and initiative. You are a curious, proactive problem-solver who is always looking for new knowledge to improve your work.

Nice to have:

Contribution to open-source projects
Experience with Google Cloud, AWS or Azure

We\'re actively building a diverse team with a broad range of skills and backgrounds. This job description is a starting point; if you\'re passionate about this role and eager to learn, we strongly encourage you to apply.

WHY ML6

At ML6, our 'people first' culture is how we bring innovation to life. We\'ve built a place where we truly love working, and we think you will too. Here’s what you can expect:

Impactful Work: Join a team dedicated to delivering real-world value and positive change through technology.
Growth & Learning : We invest in your development with a thorough onboarding and a buddy when you start at ML6. During your first weeks, you’ll immediately get the opportunity to work on diverse, challenging projects and dedicated learning tracks and opportunities.
A Culture of Trust : Thrive in an inclusive environment built on trust and transparent communication, where every voice is heard and valued.
Rewarding You: We offer an attractive salary package and an optimized benefits program that reflects your expertise and impact. When having more extensive data engineering experience, we will potentially process your application for a senior data engineer role. You can view our rewarding philosophy and offerings here.

Please Note: Candidates must have a valid work permit and be eligible to work in Belgium, The Netherlands, or Germany, as we are unable to provide visa sponsorship at this time.

View our rewarding philosophy and offerings here

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ML6 - Accelerate Intelligence

Jobs:

Data Engineer [Talentpool]

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