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Data Engineer - 100% remote possible
  • Wysoka
Data Engineer - 100% remote possible
Wysoka, Wysoka, Lower Silesian Voivodeship, Polska
Limango Polska
23. 5. 2025
Informacje o stanowisku

As limango we create a company which has been specializing in e-commerce for 14 years. Together with platforms in the Netherlands and Germany, we are part of the OTTO Group, one of Europe's leading e-commerce companies. We are the shopping platform with the largest selection of products for the whole family! We work and play together. We value work-life balance and create a culture of respect, trust and equality. If these values are also key for you, there is a good chance that you will find your place 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 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 based on the Data Vault methodology. 

Our Role and Main Responsibilities 

  • 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. 
  • ~2 years of hands-on experience in building modern data engineering solutions (experience in E-commerce is a plus). 
  • Good proficiency in PySpark and a solid understanding of the Spark processing engine architecture (required). 
  • Proven experience with Python for building applications, automated testing, and deployment. 
  • Advanced SQL skills for working with structured and semi-structured data. 
  • Familiarity with data lake architecture and data modeling concepts. 
  • Experience with Terraform and Infrastructure as Code (IaC) principles. 
  • 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 

Nice to Have 

  • Experience with AWS ecosystem and the Databricks platform is highly welcomed 
  • Hands-on experience with AWS Glue, Redshift, or other AWS-native data services 
  • Familiarity with CloudFormation, Kinesis, or Spark Streaming 
  • Working knowledge of Scala, especially in a functional programming context 
  • Experience in MLOps environments (e.g., MLflow) 
  • Knowledge of Data Vault modeling concepts is a strong plus 

What you can count for?

  • Exciting challenges and a huge influence on our project and business – you’ll be responsible for bringing our new projects live,
  • Flat hierarchies, and direct communication in a very comradely atmosphere,
  • A steep learning curve in a dynamic company with international orientation,
  • Flexible working hours and either B2B 
  • Stability in those pandemic times – growing, profitable business and proper safety rules,
  • Possibility to develop your skills, thanks to trainings and cooperation with international experts.

Benefits

  • Private health care
  • We provide access to the best specialists for you and your loved ones.
  • Language classes
  • English and German lessons in small groups, tailored to your skills.
  • Remote work and flexible working hours 
  • Possibility of partial remote work, as well as adjusting working hours to your daily schedule.
  • Office in the center of Wrocław
  • Nearby cinema, fitness club and large selection of lunch places.
  • Fruit Mondays
  • There is no shortage of coffee, fruit, pizza, sweets and healthy snacks in our office.
  • Company events in the best company
  • After hours we often organize interesting outings or meetings in our office.

Sounds good?

We can''t wait to get to know you. Apply now!

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