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Senior Data Engineer

Pay
Pay not listed
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, implement and orchestrate scalable data pipelines for large datasets

  • Translate business requirements into technical specifications

  • Build data solutions from ingestion and transformation to serving layers

  • Contribute to sales proposals and business development

  • Share knowledge and support more junior colleagues

From the employer’s posting
Design, implement and orchestrate scalable and efficient data pipelines to collect, process, and serve large datasets.
Gather business requirements and translate them to technical specifications.
develop and manage end-to-end data solutions, from ingestion and transformation to serving layers
Contribute to sales proposals and business development initiatives.
Engage in knowledge-sharing and support more junior colleagues.

What you’ll bring

All qualifications

Core experience

  • Knowledge of storage concepts/technologies (RDBs, DWHs, lakehouses, etc.) and distributed computing.
  • Experience in designing, building and owning data pipelines (Microsoft Fabric, Databricks, dbt, Airflow, ...)
  • Experience with at least one cloud provider (Azure, AWS or GCP).
  • Experience with incremental and streaming workloads, CDC and SCD.
  • Ability to translate business requirements into effective technical solutions.
  • You are proficient in English and Dutch or French
Qualification wording
Knowledge of storage concepts/technologies (RDBs, DWHs, lakehouses, etc.) and distributed computing.
Experience in designing, building and owning data pipelines (Microsoft Fabric, Databricks, dbt, Airflow, ...)
Experience with at least one cloud provider (Azure, AWS or GCP).
Experience with incremental and streaming workloads, CDC and SCD.
Ability to translate business requirements into effective technical solutions.
You are proficient in English and Dutch or French
Apply at Sopra Steria

Posting record

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Status in our records
Live
First seen by us
Oct 28, 202616 days ago
Recorded sightings
24
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 16

Similar jobs usually come down between day 6 and day 56.

At Sopra Steria, jobs usually come down by about day 18.

From 13,630 similar postings that came down, and 315 of Sopra Steria’s. Coming down is not always a hire.

Sopra Steria is hiring

15 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
  • 33% 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.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • GCP
  • Snowflake
  • Airflow
Where the posting names them
- At least 3 years of experience as a Data Engineer or in software engineering in a data context. - Programming experience with one or more languages, such as Python. - Knowledge of storage concepts/technologies (RDBs, DWHs, lakehouses, etc.) and distributed computing.
At Sopra Steria, you’ll join our Data Foundations Practice within the Data & AI team: a group of experts building modern data platforms that power analytics and AI. We design scalable, secure and maintainable data pipelines and architectures using best practices and tools like Databricks, Azure, SQL and Snowflake. You’ll help build the backbone of Data & AI, improving reliability and data quality through automation, testing and monitoring, within a collaborative and fast-learning environment.
- Experience in designing, building and owning data pipelines (Microsoft Fabric, Databricks, dbt, Airflow, ...) - Experience with at least one cloud provider (Azure, AWS or GCP). - Experience with incremental and streaming workloads, CDC and SCD.
- Knowledge of storage concepts/technologies (RDBs, DWHs, lakehouses, etc.) and distributed computing. - Experience in designing, building and owning data pipelines (Microsoft Fabric, Databricks, dbt, Airflow, ...) - Experience with at least one cloud provider (Azure, AWS or GCP).

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

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Has Sopra Steria posted this job before?

Yes. We’ve followed one other Senior Data Engineer job there since May 2026. It is still up.

  1. GroningenStill up after 185 days, first seen May 13
  2. This jobUp 16 days so far, first seen Oct 28

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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

Join our Data & AI team.

You will become part of a multidisciplinary team where data engineering, architecture, AI, analytics, governance and visualization come together. Together, we help clients get more value out of their data: from setting up the right data foundations to building dashboards, analytics solutions and AI use cases that support better decisions.

As a Data Engineer, will work with modern data technologies to develop and manage end-to-end data solutions, from ingestion and transformation to serving layers. In close collaboration with other data experts (BI consultants, AI engineers, etc.) and client stakeholders, you will translate business and analytics requirements into production-ready, end-to-end data systems.

You will be part of our Data Foundation practice: a team of data engineers and architects, within our Data & AI department. Looking beyond the sleek dashboards and hype-driven AI applications, we make sure that AI and BI initiatives are powered by a reliable and performant back end. Using proven components and best practices, we continuously challenge ourselves to design solutions tailored to our clients’ data needs, ensuring optimal performance, scalability, and maintainability.

Your responsibilities include the following:

  • Build high-quality data solutions that create value for our clients.
  • Gather business requirements and translate them to technical specifications.
  • Design, implement and orchestrate scalable and efficient data pipelines to collect, process, and serve large datasets.
  • Contribute to sales proposals and business development initiatives.
  • Engage in knowledge-sharing and support more junior colleagues.
  • Serve as a subject matter expert for client advisory.

Qualifications

We’re seeking motivated colleagues who are eager to engineer the best solutions for our clients and to be an active member of our team of experts. If you enjoy tackling complex technical problems and meet (most of) the qualifications below, we look forward to your application!

You’ll have knowledge and experience of the following: 

  • At least 3 years of experience as a Data Engineer or in software engineering in a data context.
  • Programming experience with one or more languages, such as Python.
  • Knowledge of storage concepts/technologies (RDBs, DWHs, lakehouses, etc.)  and distributed computing.
  • Experience in designing, building and owning data pipelines (Microsoft Fabric, Databricks, dbt, Airflow, ...)
  • Experience with at least one cloud provider (Azure, AWS or GCP).
  • Experience with incremental and streaming workloads, CDC and SCD.
  • Familiar with platform engineering (including CI/CD and IaC automation) in a data mesh-like context.
  • The concept of DataOps is embedded in your way of working.
  • Familiar with the challenges of BI and AI workloads and applications.
  • Experienced in implementing data governance & security (IAM, data quality mgmt, metadata mgmt., ...).
  • Aware of currently available technologies and upcoming data trends.
  • Ability to translate business requirements into effective technical solutions.
  • Able to work autonomously, balance multiple stakeholders, make pragmatic technical decisions and manage work time effectively.
  • Strong communicative and interpersonal skills, bridging technical and business audiences while building strong client and team relationships.
  • Collaborative and team-oriented, helping our team grow.
  • You have a degree in Computer Engineering, Information Technology or related field.
  • You are proficient in English and Dutch or French

What we can offer you  

At Sopra Steria, you’ll join our Data Foundations Practice within the Data & AI team: a group of experts building modern data platforms that power analytics and AI.

We design scalable, secure and maintainable data pipelines and architectures using best practices and tools like Databricks, Azure, SQL and Snowflake.

You’ll help build the backbone of Data & AI, improving reliability and data quality through automation, testing and monitoring, within a collaborative and fast-learning environment.

As part of Sopra Steria, you’ll also benefit from strong career development opportunities, both locally and internationally, supported by the Sopra Steria Academy and a wider network of more than 51.000 professionals.

 

Additional Information

We offer a generous employee benefits package that includes: 

  • A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more. 
  • Continuous learning opportunities through the Sopra Steria Academy to support your career development. 
  • The opportunity to connect with fellow Sopra Steria colleagues at various team events. 

Our goal is to build high-functioning teams and healthy team environments that inspire and help each other to deliver excellence for each of our customers.

Excited about this job opportunity? Great! We are looking forward to your application!

______

Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences.

Company Description

Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 51.000 colleagues in nearly 30 countries, we rank as Europe’s leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.

Source details

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Pay

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Location & working pattern

Brussels, Belgium

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Work authorization
______ Sopra Steria is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances. We foster a work environment that is inclusive and respectful of all differences. Company Description

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