Qim info provides IT consulting and engineering, including software development, cloud, data and systems quality.
Databricks Consultant / Data Engineer
Qim Info is hiring a Databricks / Data Engineer consultant to design and maintain data pipelines and ETL/ELT processes. The role is fully remote and requires Databricks, Python, PySpark, SQL and professional-level English, among other skills.
Information about Qim Info
- Official domain
- qiminfo.ch
- Open jobs
- 1
Job details
The full description published by Qim Info.
Description de l’offre
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 🌟
Requirements
- strong problem-solving skills
- communication skills
Benefits mentioned
- professional development
- HR and managerial support
- Qim Tech Talks
- annual and quarterly events
- Qim afterworks
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