Data Engineer (100% remote possible) m/w/d
At limango, we’ve been shaping the world of e-commerce for over 18 years. Together with our platforms in the Netherlands, Germany, and Austria, we are proud to be part of the OTTO Group, one of Europe’s leading e-commerce players. We offer the largest selection of products for the entire family, making us a go-to shopping destination for millions of customers across Europe. But limango is more than just a platform, it's a community. We believe in working and growing together, valuing a healthy work-life balance and fostering a culture built on respect, trust, and equality. If these values resonate with you, there’s a good chance you’ll feel right at home with us.
Join the limango IT!
In the Limango IT you get the chance to contribute your own ideas and know-how to maintain and develop our highly frequented, self-built online shop for our markets in Poland, Germany, Austria, and the Netherlands.
As a Data Engineer, you will be part of the Data Platform Team (DPT) - a key group driving one of Limango’s most strategic initiatives: transforming our data landscape into a modern, cloud-based lakehouse environment that empowers analytics and machine learning use cases across the organization.
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 modernization 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 modeling 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.
Benefits
Private health care: We provide access to the best specialists for you and your loved ones.
Multisport card: stay active and healthy with a Multisport card giving you access to numerous fitness clubs and sports facilities.
Wellbeing Program: Discover tools to improve your health and wellbeing. Join daily challenges, expert sessions, and video consultations with specialists. Build lasting healthy habits and boost your lifestyle.
Language classes: English and German lessons in small groups, tailored to your skills.
Remote work and flexible working hours.
Company events in the best company: After hours we often organize interesting outings or meetings in our office.
We look forward to receiving your application and can't wait to get to know you. Apply now! :)
Data Engineer (100% remote possible) m/w/d
Data Engineer (100% remote possible) m/w/d