Level

Orange

Data Engineer Consultant

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

Level's read on this job

  • Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks, Azure and Fabric among its tools and skills.
  • Level classes it as a senior role.
  • Orange has 881 other open roles on Level.
  • Posted in the last few days.

AI in this role

Design and build modern cloud data platforms and pipelines to support business intelligence and analytics initiatives.

databricksazurefabricsnowflakesynapsedbtairflow
etldata-modelingdata-warehousingcloud-platforms

Publication date : Oct 19, 2026, 2:01PM

Join Orange Business in Geneva as a Data Engineer Consultant and build modern cloud data platforms with Microsoft Azure, Fabric, Databricks and Snowflake for leading clients.

The team, position & mission:

We help clients transform data into a strategic asset by designing, building, and optimizing modern cloud data platforms. Working alongside data architects, analysts, cloud engineers, and business stakeholders, we deliver scalable solutions that support business intelligence, advanced analytics, reporting, and AI-driven initiatives.

As a Data Engineer Consultant, you will work on a variety of client projects across industries, helping organizations build reliable, secure, and high-performing data ecosystems. Depending on the project, you may work with technologies such as Microsoft Fabric, Azure Data Platform, Azure Data Factory, Databricks, Snowflake, Synapse Analytics, dbt, and Airflow to deliver modern data warehouse and lakehouse solutions.

By joining us in this position, you will contribute to the design and implementation of end-to-end data solutions, from data ingestion and transformation to modeling and consumption. You will have the opportunity to continuously develop your expertise, work with leading cloud technologies, and help clients unlock value from their data.

We value people who are proactive on every level, deliver exceptional results, work well with others, and make a clear impact on our clients and our business. If you love collaborating, learning, sharing your expertise, and being recognized for your achievements, you'll fit right in with our team.

Your key areas of responsibility as Data Engineer Consultant:

  • Design, build, and maintain scalable data pipelines, data warehouses, lakehouses, and cloud-based data platforms.

  • Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from a wide range of sources.

  • Create and maintain data models that support analytics, reporting, business intelligence, and AI use cases.

  • Collaborate with business stakeholders, data analysts, and solution architects to translate requirements into robust technical solutions.

  • Ensure data quality, governance, security, and compliance across data platforms and workflows.

  • Monitor, troubleshoot, and optimize data pipeline performance, reliability, and scalability.

  • Contribute to automation, testing, CI/CD implementation, and engineering best practices across data projects.

As an ideal candidate you have:

  • 3+ years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or a similar role.

  • Strong understanding of ETL/ELT processes, data modeling, data integration, and data warehousing or lakehouse architectures.

  • Hands-on experience with one or more modern data platforms, including Microsoft Fabric, Azure Data Platform, Azure Data Factory, Databricks, Snowflake, Synapse Analytics, dbt, Airflow, or similar technologies.

  • Proficiency in SQL and experience with Python or another programming language commonly used for data engineering.

  • Experience building and maintaining scalable cloud-based data pipelines and data solutions.

  • Strong analytical, communication, and stakeholder management skills, with the ability to work directly with clients and business teams.

  • Fluency in French and English.

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

  • Experience with DataOps, CI/CD, infrastructure as code, and cloud-native deployment practices.

  • Relevant certifications in Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, or other cloud data technologies.

What we offer you:

  • A community of experts - as Digital Natives, we put innovation at the heart of our expertise.

  • We may work with tomorrow’s technology, but at our core we are a people-oriented organization.

  • Hybrid ways of working with access to our modern & collaborative office in Geneva.

  • An open and inclusive culture, that enables us to reach our full potential.

  • Read more about the benefits we offer here.

About Orange Business:

Orange Business is the Orange Group entity dedicated to businesses and organizations. Our unique history as a telco operator and now an IT services company enables us to support the sustainable digital transformation of enterprise businesses worldwide.

We bring the rigor of a network and connectivity expert together with the agility of a global digital solutions integrator. We combine global presence with a local approach to get the most out of digital technology, from networks and cloud to data and service platforms.

Digital & Data is the dedicated Orange Business entity for professional services in digital and data, operating as part of the Orange Business European organization. We help enterprises design, build and deliver digital and data solutions, from consulting and advisory through to large-scale implementation and managed services, combining deep technical expertise with the operational agility of a ringfenced organization.

By pooling expertise across countries, we offer clients a consistent European delivery model, the ability to reuse proven capabilities at scale, and seamless integration with Orange Business' wider proposition in network, AI, trusted cloud and cybersecurity. This dedicated focus on professional services, backed by the strength and reach of Orange Business and the Orange Group, means our clients benefit from specialized digital and data expertise delivered with clear accountability, European coverage, and the assurance of a trusted long-term partner.

Apply now
We can’t wait to meet you!

More about Orange Business:
Check out our career site for even more information or connect with us on LinkedIn.

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.

How we rate this

Data Engineer Consultant at Orange rates 30 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLData ModelingData WarehousingCloud PlatformsDatabricksAzureFabricSnowflake

Also common in data engineer jobs at this level

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

  1. Tell me about a project where etl was part of your work. What did you do?
  2. Tell me about a project where data modeling was part of your work. What did you do?
  3. Tell me about a project where data warehousing was part of your work. What did you do?
  4. Tell me about a project where cloud platforms was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: ETL, Data Modeling, Data Warehousing, Cloud Platforms, 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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