Data Engineer

Key Responsibilities:

• Develop and maintain ETL pipelines using PySpark, SparkSQL, and Python within our Lakehouse Data Platform.

• Work with cloud-based infrastructure (AWS) to build, deploy, and maintain scalable data solutions.

• Ensure data quality, implement monitoring, and support CI/CD processes for data pipelines.

• Cooperate closely with data analysts, ML engineers, and other data professionals to deliver reliable and well-structured datasets.

• Contribute to the modernisation of our existing data stack, helping migrate from legacy solutions to a unified lakehouse architecture.

You’ll need:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.

• Around 1-3 years of experience in data engineering.

• Strong hands-on skills in Python and Spark (PySpark) – required for daily development.

• Practical experience with at least one major cloud platform (AWS, Azure, or Google Cloud) – required.

• SQL skills for working with structured and semi-structured data.

• Understanding of data lake and data modelling principles.

• Experience with Git-based development workflows and CI/CD practices.

• Fluency in English and strong problem-solving mindset.

Nice to Have:

• Experience with Terraform or another Infrastructure as Code tool.

• Basic knowledge of Databricks, AWS Glue, or other distributed data processing tools.

• Familiarity with monitoring, data testing frameworks, or data quality automation.

• Curiosity about MLOps and data orchestration tools.

What We Offer & What You Can Expect:

• Challenging tasks and real impact – you’ll be directly involved in bringing new projects to life and influencing how we grow as a e-commerce business.

• Fast-paced learning environment – we’re an international team, so you’ll constantly pick up new skills and insights.

• Flexible working hours and B2B contract – choose when and how you work.

• Lots of room to grow – through hands-on experience, training, and working with experts from different parts of the world.