Databricks Consultant / Data Engineer

Qim info SA; Lausanne; Remote; CHF 33,000 - 55,000; Part time

Benefits offered by this job

Fully remote

Minimum 12 months

CHF 300/day

Job summary

Qim info SA is seeking a Databricks Consultant / Data Engineer for a fully remote, long-term freelance assignment. You will design and optimize data pipelines, orchestrate Delta Lake architectures, and collaborate with business teams to translate data requirements into scalable solutions.

You will leverage Databricks, PySpark, SQL and Python to deliver reliable data products with emphasis on security, documentation, and cost efficiency. Fluent English is required for global client collaboration.

Qualifications

• Proven experience as a Data Engineer with strong hands-on Databricks.
• Solid knowledge of Spark/PySpark, Python and SQL.
• Experience with Delta Lake, ETL/ELT and data warehousing concepts.

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.

Skills

Databricks

Apache Spark / PySpark

Python

SQL

Delta Lake

Azure

CI/CD

Git

DevOps

English

Job description

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