Data Engineer Consultant

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.

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.