Accelerate innovation through data and drive business growth as a Python Data Engineer. This role is ideal for individuals with a strong analytical mindset and experience working with large datasets in Python using libraries such as pandas or Polars.
As part of our strategic growth, we are seeking a skilled Python Data Engineer to join our agile team. This individual will play a key role in accelerating the creation of new data-driven products, automating business processes, and enabling strategic decision-making.
The successful candidate will have a solid understanding of software engineering principles, including clean code, version control, testing, and automation. Experience with data pipeline orchestration tools and/or Dataiku is a strong plus. Familiarity with DevOps, CI/CD pipelines, and production-grade deployment is also required.
Key responsibilities include:
* Collaborate with business stakeholders to gather requirements and design tailored, data-driven solutions
* Develop and optimize robust, scalable, and high-performance data pipelines that support critical business workflows
* Co-create rapid prototypes with business users to validate hypotheses and accelerate time-to-value
* Industrialize those prototypes into production-ready solutions with a strong focus on data quality, maintainability, and performance
* Support continuous delivery and deployment by applying software engineering and DevOps best practices
Benefits of this role include:
* A vibrant international and diverse team where you'll collaborate with a network of talented professionals across Europe, USA, and Asia
* A collaborative and inclusive work environment that fosters professional growth with flexible career paths, learning, and development opportunities
* An agile, innovative, and dynamic company where you can make an impact
* Wellbeing programme, equal opportunities, work environment open to diversity in all its forms
We are proud to be an equal opportunity employer. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view.