Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,046 similar postings that came down. Coming down is not always a hire.
Data Engineer Consultant
Meyrin, Switzerland
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build, and maintain scalable data pipelines, warehouses, and lakehouses
Develop and optimize ETL/ELT processes to ingest and transform client data
Create and maintain data models for analytics, BI, and AI use cases
Ensure data quality, governance, security, and compliance across platforms
Monitor, troubleshoot, and optimize pipeline performance and reliability
From the employer’s posting
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.
Ensure data quality, governance, security, and compliance across data platforms and workflows.
Monitor, troubleshoot, and optimize data pipeline performance, reliability, and scalability.
About Orange Business
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Orange Business is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- dbt
- Snowflake
- Airflow
Where the posting names them
- 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.
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.
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.
- 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 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:
Your next step
Complete your application on jobs.digital.orange-business.com. The employer’s form will show what is required.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Has Orange Business posted this job before?
Yes. We’ve followed one other Data Engineer Consultant job there since November 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
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 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
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Meyrin, Switzerland
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.