Data Engineer (Python)

Our client is an international leader in assurance and risk management, with a strong focus on digital innovation. Their cloud-based data platform supports companies across industries in making smarter decisions, improving efficiency, and driving sustainability goals. With a global presence and a collaborative environment, they give you the chance to work on impactful projects that combine data, technology, and real-world challenges.

Key responsibilities

• Design, develop, and support solutions using Azure analytics tools (Databricks, SQL, Data Factory, Functions)

• Build fully automated data processing pipelines in Microsoft Azure

• Develop and operate data ingestion pipelines, visualization apps, data catalogues, and governance tools

• Optimize and tune performance of Apache Spark / PySpark applications

• Explore and analyze diverse datasets from internal and external providers

• Work daily in an international, cross-functional team

  
  

Ideal candidate profile

• 2–4 years of experience in software development, data engineering, or system integration

• Strong Python skills (pandas, PySpark)

• Solid SQL and database design knowledge

• Hands-on experience with Apache Spark / PySpark

• English at B2+ level, good communication skills

• Analytical mindset and curiosity to learn new technologies

• Experience with data modeling, Big Data, or data warehousing (nice to have)

• Familiarity with R, Scala, DAX, XPath, KQL (an asset)

• Knowledge of Microsoft Power BI (a plus)

• Experience with REST APIs, C#, or YAML deployment scripts in Microsoft DevOps (beneficial experience)

  
  

Conditions

• Work model: Remote

• Employment type: B2B

• Salary: Based on experience

  
  

Recruitment steps

• Initial call with a KUBO recruiter

• Interview(s) with the client

• Decision and feedback