PySpark Developer - Databricks, Spark, Python, Data Engineering
RM Group
About the role
PySpark Developer - Databricks, Spark, Python, Data Engineering
About
Long term contract opportunity to join our Zürich based client in the Insurance sector.
Responsibilities
- Implementation of production ready data pipelines using PySpark running on Databricks based on specification provided by business analysts
- Interaction with other data engineers and solution architects to meet functional and non-functional requirements
- Acting as a Data Engineer, working on a major transformation project
Experience / Knowledge
- Strong software engineering skills, including familiarity and application of design patterns, and engineering best practices.
- Spark / PySpark development skills is a MUST
- Strong understanding of data engineering techniques with high level programming languages (e.g., Java, C#, or Python) and analytical frameworks and Azure fundamentals
- Experience developing applications using an IDE such as VS Code or PyCharm
- Experience of working with delta lakes and optimizing Spark workloads running on it paired with strong core Python software engineering experience
- Have a good understanding and significant experience with projects using relational data models and SQL.
- Bachelor's or master's degree in computer science, or any other related field
- Language skills: English
Soft Skills
- Excellent comprehension skills with attention to detail
- A high degree of self‑organisation and time management
- Analytical and solution‑orientated thinking
Location
Zürich, Switzerland
Work Setting
Hybrid
Sector
Insurance & Re‑insurance
Start
ASAP or 05/2026
Duration
12 months +
Workload
100%
Reference Number
BH 23895
Application Instructions
Take the next step and send us your resume along with a daytime phone number where we can reach you.
Eligibility
Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work‑permit holders for Switzerland.
Equal Opportunity
We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application.
Additional Requirements
As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
Requirements
- Strong software engineering skills, including familiarity and application of design patterns, and engineering best practices.
- Spark / PySpark development skills is a MUST
- Strong understanding of data engineering techniques with high level programming languages (e.g., Java, C#, or Python) and analytical frameworks and Azure fundamentals
- Experience developing applications using an IDE such as VS Code or PyCharm
- Experience of working with delta lakes and optimizing Spark workloads running on it paired with strong core Python software engineering experience
- Have a good understanding and significant experience with projects using relational data models and SQL.
Responsibilities
- Implementation of production ready data pipelines using PySpark running on Databricks based on specification provided by business analysts
- Interaction with other data engineers and solution architects to meet functional and non-functional requirements
- Acting as a Data Engineer, working on a major transformation project
Skills
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