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Data Ops Engineering Team Lead

Pay
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Mentor and manage a team of 10–15 consultants

  • Define and implement the team strategy with other data team leads

  • Recruit new team members and align skills with company goals

  • Support sales and pre-sales by answering RFIs and RFPs

  • Keep working as a consultant on data engineering projects for clients

From the employer’s posting
Mentor and manage a team of 10–15 consultants
Define and implement the team strategy in collaboration with the other data team leads
Contribute to team growth by recruiting new resources and aligning skills with company objectives
Support sales and pre-sales activities by responding to staffing requests, RFIs, and RFPs
Continue contributing as a consultant on data engineering projects
Education & alternatives
Your technical expertise: - A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field - At least 5 years of relevant experience as a Data/DevOps/Software Engineer.
Apply at Orange Business

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

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First seen by us
Nov 5, 2026today
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How this job compares

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Orange Business is hiring

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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
  • Azure
  • Databricks
  • Docker
  • Hadoop
  • Kubernetes
  • Snowflake
  • Terraform
  • Airflow
Where the posting names them
- A strong interest in data management (databases systems and ETL processes). - Programming: A strong SQL and Python knowledge. - Deployment and Orchestration: Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.).
- At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth. - Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. - For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling.
- Programming Concepts: Understanding of object-oriented programming concepts, data structures, and algorithms. - Cloud and Data tools: Experience with a cloud provider or data processing tools (Databricks, Snowflake, Synapse, etc.) - Experience with AI-driven data delivery, including the use of AI capabilities to accelerate, automate, and improve data engineering outcomes.
- Programming: A strong SQL and Python knowledge. - Deployment and Orchestration: Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.). - Data-Oriented Mindset: you possess a good knowledge of data modeling and data-architecture core concepts.
- Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. - For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling. Interested in taking part in this exciting journey? Please take a look at the following requirements and let’s meet up if that matches your profile!

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Demand for Data Operations roles

New Data Operations postings at the employers we follow are up 227% over the last 5 weeks compared with the 5 before.

Weekly new Data Operations postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 28, the most 273, and the latest week had 98.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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 Operations, by the work the posting describes.

Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.

Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.

Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.

Job description

View original posting ↗

Publication date : Oct 22, 2026, 1:44PM

Grow your career as a Faction Lead - Data Ops Engineering at Orange Business in Belgium — based in Brussels, driven by impact.

Data Ops Engineering Team Lead - Consultant
Permanent
FR or NL + EN

Our Digital & Data division at Orange Business is a dynamic community of expert consultants revolutionizing Customer Experience, Cloud, Data, and AI across various sectors, including retail, finance, manufacturing, life sciences, and public services.

With more than 30 years of expertise, we remain at the forefront of innovation, transforming business across industry with the full potential of vanguard Data technologies at scale in a sustainable way.

Check out some of our ongoing projects:

  • At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth.

  • Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development.

  • For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling.

Interested in taking part in this exciting journey? Please take a look at the following requirements and let’s meet up if that matches your profile!


What You’ll Do:
All the responsibilities we’ll trust you with

Your role will involve the management of our Data Ops team as a highly skilled data engineer. You will take on a leadership role while continuing to deliver strong value to our customers through your work as a consultant on data engineering projects, developing, testing, and continuously deploying data solutions in cloud environments.

  • Team Leadership: Mentor and manage a team of 10–15 consultants while building a strong team spirit through regular follow-up and team activities.

  • Strategy: Define and implement the team strategy in collaboration with the other data team leads within the Data & Cloud chapter.

  • Culture & Development: Foster a positive, innovative, and excellence-driven culture while supporting consultants’ growth through guidance, motivation, and tailored training plans.

  • Recruitment & Capability Building: Contribute to team growth by recruiting new resources and aligning skills with company objectives, market evolution, and sector needs.

  • Sales & Business Development: Support sales and pre-sales activities by responding to staffing requests, RFIs, and RFPs, and by contributing innovative solutions for prospects and clients.

  • Consultant staffing: optimize staffing based on company performance, client needs, and individual ambitions.

  • Consulting & Delivery: Continue contributing as a consultant on data engineering projects, helping clients solve data challenges while shaping the Cloud & Data offering.


Who you are:

What matters most for this role

Your interests & soft skills:

  • Interest in digital transformation and data-driven solutions

  • Initial experience in a leadership role.

  • Proactive mindset and outside the boxthinking to tackle challenges.

  • You are able to explain technical concepts to a non-technical audience.

  • You excel in interpersonal communication and know how to have a professional and commercial approach with customers.

  • You value collaboration as a way to succeed

  • Strong communication and presentation skills in French and/or Dutch + English

Your technical expertise:

  • A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field

  • At least 5 years of relevant experience as a Data/DevOps/Software Engineer.

  • A strong interest in data management (databases systems and ETL processes).

  • Programming: A strong SQL and Python knowledge.

  • Deployment and Orchestration: Experience working with deployment and orchestration technologies (i.e., Docker, Kubernetes, Terraform, Airflow, etc.).

  • Data-Oriented Mindset: you possess a good knowledge of data modeling and data-architecture core concepts.

It is not a requirement, but other preferred qualifications would be:

  • DevOps methodologies: Familiar with DevOps practices, automation tools, and continuous integration/continuous delivery (CI/CD) pipelines.

  • Programming Concepts: Understanding of object-oriented programming concepts, data structures, and algorithms.

  • Cloud and Data tools: Experience with a cloud provider or data processing tools (Databricks, Snowflake, Synapse, etc.)

  • Experience with AI-driven data delivery, including the use of AI capabilities to accelerate, automate, and improve data engineering outcomes.

Interests and soft skills we value
What success looks like

We seek individuals who embody our values - Caring, Responsible and Bold.
You thrive on ambitious goals, collaborate openly, and make a meaningful impact with integrity.
We value professionals who combine deep expertise with a passion for learning, innovation, and exceeding expectations.
If you show initiative, accountability, and support your colleagues, you’ll flourish with us.
Excellence comes from people who lead by example and pursue personal and professional growth.

Why you should join us:
Some of the rewards of working at Orange Business

  • A community of experts - as Digital Natives, we put innovation at the heart of our expertise. Continuously seeking new ideas, we proudly host regular “Guild” workshops and knowledge-sharing sessions through our Data Meetups.

  • A place to strengthen both technical depth and professional skills (communication, ownership, stakeholder collaboration).

  • Exposure to real-world client contexts and business challenges where your work has visible impact.

  • Real opportunity to grow your autonomy and career growth possibilities.

  • We may work with tomorrow’s technology, but at our core we are a people-oriented organization. We value quality, feedback, continuous improvement, as much as collaboration, openness, inclusivity and well-being at work.

  • Hybrid way of working and modern & collaborative office in Brussels.

  • Compelling advantages including a yearly bonus scheme, a flexible mobility with possibility for a housing budget, representation and expense allowances… 


Ready to build with us? 
We screen applications on an ongoing basis, with the aim of conducting conversations and interviews as we receive them.

Interested but feel that you don´t match the criteria 100%? We encourage you to apply anyway! Your perfect match might be the next job we are announcing, so why not have a head start and apply now!

Apply with your CV and (if available) links to GitHub, portfolio, or examples of work that reflect your experience. 

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

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Evere, Belgium

- We may work with tomorrow’s technology, but at our core we are a people-oriented organization. We value quality, feedback, continuous improvement, as much as collaboration, openness, inclusivity and well-being at work. - Hybrid way of working and modern & collaborative office in Brussels. - Compelling advantages including a yearly bonus scheme, a flexible mobility with possibility for a housing budget, representation and expense allowances…
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