Senior 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 Senior Data Engineer, you will play a key role in one of the company’s most strategic initiatives led by the Data Platform Team (DPT): migrating legacy data solutions to a modern, cloud-based environment and building a new enterprise data warehouse.
Job Profile:
Contribute to the development of a centralized Lakehouse Data Platform built on AWS and Databricks.
Manage and evolve data infrastructure (Terraform on AWS / Databricks) and ETL pipelines (PySpark, Delta Live Tables, SparkSQL).
Implement monitoring, data quality testing, unit tests, and automated alerting within the platform.
Refactor legacy AWS solutions (e.g., Glue, Redshift) into a modern, CI/CD-deployed Lakehouse environment with proper observability and data quality controls.
Actively support the design and implementation of a medallion lakehouse architecture to support ML and analytics use cases, incorporating data mesh principles.
Collaborate closely with analytics and ML teams working within the data platform.
You'll need:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.
~4 years of hands-on experience in building modern data engineering solutions (experience in E-commerce is a plus).
Strong proficiency in Databricks, PySpark, and Python for building scalable data solutions, automated testing, and deployment (required).
Proven experience with AWS cloud services and Infrastructure as Code using Terraform (required).
Advanced SQL skills for working with structured and semi-structured data.
Familiarity with data lake architecture and data modeling concepts.
Proficiency in CI/CD tools and Git-based development workflows.
Fluency in English (our team works in a fully international environment).
Team player mindset and eagerness to learn and adopt new technologies and frameworks.
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 complete application and can't wait to get to know you. Apply now! :)
Senior Data Engineer (100% remote possible) m/w/d
Senior Data Engineer (100% remote possible) m/w/d