Databricks Consultant / Data Engineer
Summary
Freelance Databricks Consultant / Data Engineer, fully remote, joining a Qim info client team for a minimum 12-month engagement at CHF 300/day. Day to day: designing, building and optimizing end-to-end data pipelines and Delta Lake architectures using Databricks, PySpark, Python, SQL, ideally on Azure.
Founded in 2004, Qim info is an IT engineering and digital services company with offices in Switzerland (Geneva, Lausanne, Zurich and Basel) and France (Annecy, Lyon and Paris). As part of the MoOngy Group, the company also benefits from an international development network.
Ranked as the third-largest IT company in French-speaking Switzerland (ICT Journal), Qim info is, above all, a community of consultants able to contribute at every level of an information system across a wide range of fields (Software Development, Functional Consulting, Infrastructure & Networks, Data, DevOps…) and industries (Banking, Finance, Insurance, Luxury, Retail, Aerospace…).
With over 650 employees, we are always looking for new talent!
In a nutshell
We are currently recruiting an Databricks Consultant / Data Engineer to support one of our client’s teams.
Location: Fully Remote
Contract Type: Freelance / Contract
Duration: Minimum 12 months
Daily Rate: CHF 300/day (fixed rate)
Key Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Databricks.
- Build scalable ETL/ELT processes for structured and semi-structured data.
- Develop data transformations using Python, PySpark, and SQL.
- Optimize Spark jobs, data models, and queries for performance and cost efficiency.
- Implement and manage Delta Lake architectures and data quality processes.
- Collaborate with technical and business teams to understand data requirements.
- Ensure the reliability, security, and documentation of data solutions.
- Participate in code reviews and contribute to engineering best practices.
Required Skills
- Proven experience as a Data Engineer, with strong hands-on expertise in Databricks.
- Strong knowledge of Apache Spark / PySpark, Python, and SQL.
- Experience with data lakes, Delta Lake, ETL/ELT, and data warehousing concepts.
- Experience with cloud platforms, ideally Azure and Azure Databricks.
- Knowledge of CI/CD, Git, and DevOps practices is a plus.
- Strong problem-solving and communication skills.
- Professional level of English.
Additional Information
- This is a fully remote role.
- Long-term assignment with a minimum commitment of one year.
- Fixed daily rate: CHF 300/day.
Our Recruitment Process
Initial call: Our recruitment team will take the time to understand your background and career aspirations
Interview with a Business Manager
Technical interview
Why Join Qim info?
Recognised expertise: Active across around ten industries, with in-depth knowledge of IT professions and challenges
High-quality HR and managerial support: We support your professional development and provide guidance throughout your assignments
Company culture: Share more than just a coffee break! Qim Tech Talks, annual and quarterly events, Qim afterworks… Numerous events are organised throughout the year
Consultant satisfaction: At Qim info, people enjoy working here — and our consultants say it best on Glassdoor, where we have a 4.1/5 rating