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Data Engineer

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design, develop, deploy, validate and maintain scalable data pipelines and architectures

  • Set up and optimise databases, data lakes and storage for structured and unstructured data

  • Develop data pipelines supporting Machine Learning algorithms

  • Manage and improve CI/CD pipelines, including automated testing and deployment

  • Collaborate with software developers, data scientists and production teams

From the employer’s posting
Design, develop, deploy, validate and maintain scalable data pipelines and data architectures.
Set up, maintain and optimise databases, data lakes and storage solutions for structured and unstructured data.
Develop data pipelines supporting Machine Learning algorithms and advanced data processing workflows.
Manage and improve CI/CD pipelines, including automated testing, deployment and code quality.
Collaborate with software developers, data scientists, engineering and production teams

What you’ll bring

All qualifications

Core experience

  • Experience and competencies
  • Experience with Kubeflow and data warehousing solutions.
  • Good communication skills
  • Master's degree in Computer Science, Engineering, Informatics or a related field.
  • Knowledge of MATLAB unit testing.
  • Solid experience in Data Engineering, including data pipeline development and data architecture.
Qualification wording
What are we looking for in you? Experience and competencies
Experience with Kubeflow and data warehousing solutions.
Good communication skills
Master's degree in Computer Science, Engineering, Informatics or a related field.
Knowledge of MATLAB unit testing.
Solid experience in Data Engineering, including data pipeline development and data architecture.
Education & alternatives
What are we looking for in you? Experience and competencies - Master's degree in Computer Science, Engineering, Informatics or a related field. - Solid experience in Data Engineering, including data pipeline development and data architecture.
Apply at Scalian

Posting record

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Status in our records
Live
First seen by us
Oct 27, 20268 days ago
Recorded sightings
23
Last seen by us
Nov 4, 2026
Reposted
once since Oct 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 8

Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Scalian is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 50% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C
  • C++
  • MATLAB
  • Python
  • SQL
  • Docker
  • Spark
  • Superset
  • Dagster
Where the posting names them
- Knowledge of MATLAB unit testing. - Familiarity with C/C++, Git, Bitbucket and DevOps. - Additional experience in software engineering, frontend development or data analytics.
- Experience with Kubeflow and data warehousing solutions. - Knowledge of MATLAB unit testing. - Familiarity with C/C++, Git, Bitbucket and DevOps.
- Solid experience in Data Engineering, including data pipeline development and data architecture. - Strong proficiency in Python, SQL, Apache Spark and Docker. - Familiarity with Jenkins, Jupyter, Apache Superset and Dagster.
- Strong proficiency in Python, SQL, Apache Spark and Docker. - Familiarity with Jenkins, Jupyter, Apache Superset and Dagster. - Good understanding of databases, data lakes, data warehouses and data processing architectures.

Your next step

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Has Scalian posted this job before?

Yes. We’ve followed 2 other Data Engineer jobs there since June 2026. All 2 are still up.

  1. MadridStill up after 145 days, first seen Jun 12
  2. LiègeStill up after 8 days, first seen Oct 27
  3. This jobUp 8 days so far, first seen Oct 27

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

Are you a Data Engineer looking for a new challenge? 

If you want to expand your reach and share your knowledge with a team of professionals, contribute to the development of your colleagues' or Clients' skills, want to consolidate your expertise and grow on innovative projects, this is your opportunity! 

What this experience will bring you 

First of all, an interesting technical challenge but also an overview of our Client's projects. 
We will build your career together and accompany you towards the development of new skills and technical leadership. 

What will your role be? 

We are looking for a Data Engineer to perform the following activities: 

  • Design, develop, deploy, validate and maintain scalable data pipelines and data architectures.
  • Define and implement efficient data structures to ensure consistency, scalability and performance.
  • Set up, maintain and optimise databases, data lakes and storage solutions for structured and unstructured data.
  • Develop data pipelines supporting Machine Learning algorithms and advanced data processing workflows.
  • Manage and improve CI/CD pipelines, including automated testing, deployment and code quality.
  • Collaborate with software developers, data scientists, engineering and production teams to meet technical and business requirements.
  • Contribute to the continuous improvement of data engineering practices, testing strategies and development standards.

Qualifications

What are we looking for in you? Experience and competencies 

  • Master's degree in Computer Science, Engineering, Informatics or a related field.
  • Solid experience in Data Engineering, including data pipeline development and data architecture.
  • Strong proficiency in Python, SQL, Apache Spark and Docker.
  • Familiarity with Jenkins, Jupyter, Apache Superset and Dagster.
  • Good understanding of databases, data lakes, data warehouses and data processing architectures.
  • Experience with CI/CD pipelines, automated testing and unit testing.
  • Interest in open-source technologies and on-premises solutions.
  • Strong analytical, organisational and communication skills, with the ability to work in multidisciplinary teams.

Nice to Have

  • Experience with Kubeflow and data warehousing solutions.
  • Knowledge of MATLAB unit testing.
  • Familiarity with C/C++, Git, Bitbucket and DevOps.
  • Additional experience in software engineering, frontend development or data analytics.

Soft skills: 

  • Problem solving 
  • Good communication skills 
  • Goal-oriented approach 
  • Self-Driven 
  • Proactive to solution 
  • Teamwork 

Languages: 

  • French (fluent, oral and written) 
  • English (fluent, oral and written) 

Additional Information

Why would you take the plunge? 

Because Scalian is a group of specialists, carrying an ambitious development project, focused on innovation and committed to its customers where you can: 

  • Build a tailor-made career path, varied and adapted to your desires, thanks to the variety of missions in your area of expertise and the bridges between trades 
  • Learn by the quality of the projects on which you will intervene, in your specialty, and thanks to the large training catalog delivered by our internal Academy 
  • Have an attractive social framework that respects everyone's needs (telework agreement, crèches, social coverage, flexibility, soft mobility, etc.) 
  • Contribute to R&D topics or participate in internal projects 
  • Be part of a friendly team that will make work rhyme with pleasure! 

So want to expand the frame? Contact us to talk about it.

Company Description

Who are we? 

Human and technology to scale sustainable performance 

Founded in 1989, Scalian is a French group with an international dimension, with offices in Europe and North America, specializing in business transformation through its dual mastery of business processes and digital technologies. 

In the TOP10 engineering consulting companies in France, the Group is involved in service activities in the management of industrial projects, supply chain (costs, quality, deadlines, performance), architecture and development of embedded digital systems, computer systems applications. Information and Artificial Intelligence. 

Scalian also deploys solutions for optimizing projects or the performance of organizations and responds to the challenges of transformation for leaders in industry and the tertiary sector (energy, transport, space, banking, health, environment, etc.).

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Location & working pattern

Liège, Belgium

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