Data Engineer

Atos is hiring a Data Engineer. Level rates it ; you can apply on Atos.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Databricks and MLOps.
Level lists 609 other open roles at Atos.
The role was posted within the past week.

AI in this role

databricks

ml-ops

About Atos Group

Atos is a global leader in digital transformation with approximately 78,000 employees and annual revenue of €10 billion. As the European number one in cybersecurity, cloud, and high-performance computing, Atos provides tailored end-to-end solutions across all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to delivering secure and sustainable digital solutions for its clients. Listed on Euronext Paris as a Societas Europaea (SE), Atos supports the development of knowledge, education, and research through a multicultural approach, contributing to scientific and technological excellence worldwide.

As part of our continued growth, we are looking for a skilled Data Engineer to join our team and play a key role in designing and developing powerful dashboards and reports for our clients.

As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and architectures that enable advanced analytics and AI-driven solutions. You will work closely with data scientists, architects, and business stakeholders to ensure data availability, quality, and scalability across cloud and hybrid environments. This role is critical in supporting digital transformation initiatives by delivering secure, high-performance data platforms that empower organizations to make data-driven decisions.

Key Responsibilities:

Design and implement scalable data pipelines and integration patterns.
Develop and optimize data architectures using Azure Data Services and/or other cloud platforms.
Ensure data quality, governance, and security compliance.
Collaborate with data scientists and business teams to translate requirements into technical solutions.
Apply performance tuning and troubleshooting for large-scale data processing.
Contribute to DevOps for Data (CI/CD, version control) and automation of deployments.
Mentor junior colleagues and share best practices within the team.

Your Profile:

5+ years in data engineering or related roles; proven track record in delivering complex data solutions.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Familiarity with MLOps, ML pipelines, and advanced AI concepts.
Ability to translate business needs into technical solutions and troubleshoot complex issues.
Proficiency in SQL, Python, PySpark.
Knowledge and experience with Databricks and/or Snowflake.
Strong knowledge of Azure; experience with AWS or GCP is a plus.
Excellent verbal and written communication skills in Dutch and English.
Agile team experience (Scrum, DevOps).
Willingness to travel and work at client locations.

What We Offer:

Participation in exciting consulting projects with room for innovation. Work on end-to-end digital and data transformation projects across various sectors, with impact from start to finish.
Excellent career opportunities in a global organization, including international mobility.
Personal and professional growth through certified training and access to the latest technologies.
Competitive salary, year-end bonus, and pension scheme.
29 vacation days per year.
Flexible and hybrid working arrangements.
An energetic and supportive team culture that values diversity.

Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.

Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.

Choose your future. Choose Atos.

How we rate this

Data Engineer at Atos rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer is an open job at Atos.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Amstelveen.
The job was posted on October 18, 2026.
Applications are handled by Atos. Apply on Atos

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsDatabricks

Also common in data engineer jobs at this level

Airflow Scala Java Machine learning Kafka dbt

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: ML Ops and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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