Job Title:
**Python Engineer**

Location:
**Zurich (Switzerland)**

Job Type:
**Contract**

**Job Summary:**

We are seeking a highly skilled and experienced software engineer with a strong background in computer science or a related field. The ideal candidate will have proven experience in developing complex software systems and deep expertise in data engineering and Python programming.

**Skills, Experience & Abilities Required:**

**Education:**

Bachelor’s or Master’s degree in Computer Science or a related field.

**Software Engineering:**

Minimum
**5 years’ experience**
as a software engineer developing complex software systems.

Strong software engineering skills, including familiarity with
**design patterns**
and engineering best practices.

Demonstrated experience applying engineering best practices in real-world environments.

**Programming & Data Engineering:**

Advanced proficiency in
**Python**
(core software engineering and data engineering).

Strong understanding of data engineering techniques with high-level programming languages such as
**Java, C#, or Python**
.

Hands-on experience (at least
**3 years**
) with
**Apache Spark (PySpark)**
, developing applications using IDEs like
**VS Code**
or
**PyCharm**
.

Experience working with
**delta lakes**
and optimizing Spark workloads running on them.

Significant experience in projects using
**relational data models and SQL**
.

**Analytical & Professional Skills:**

Excellent analytical skills with the ability to understand and break down complex problems into achievable steps.

Good work ethic and self-starter mentality—proactively identifies and addresses issues and opportunities.

Highly proficient in
**English**
(written and verbal).

**Responsibilities Include:**

Develop and maintain complex software systems using Python and other high-level languages.

Apply software engineering best practices and design patterns to ensure robust and scalable solutions.

Lead or contribute to data engineering projects leveraging Apache Spark and Delta Lake.

Collaborate with cross-functional teams to optimize data pipelines and workflows.

Analyze requirements, design solutions, and validate software through testing and code reviews.

Document technical solutions and communicate effectively with stakeholders.