Data Engineer - Supply Chain & Transportation Team (3 Months)
Luxembourg , LU
il y a 2j



EU Supply Chain and Trans Tech is looking for a Data Engineer to play a key role in maintaining and transforming EU Supply Chain and Trans data lake into meaningful analytics.

The ideal candidate will be passionate about parteniring in a team that drives next generation extremely large, scalable and fast distributed systems on AWS stack (with focus on Redshift).

The Data Engineer will help us grow our capability set, drive efficiency, and improve our overall data technology offering.

The ideal candidate has exposure to data modelling, ETL design, and can build optimized data pipelines for a BigData environment.

This candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and above all else, is passionate about data and analytics.

S(h)e should possess excellent communication skills as the candidate will work closely with diverse teams and sometimes senior leadership.

In addition, the candidate should demonstrate thought leadership to drive business insights through machine / deep learning initiatives using out elaborate data sets.

Along with complex problems to solve, we provide you world class work environment and a chance to work with few of industry most talented team members in data engineering space and opportunity to contribute and create history while having fun.


  • Managing large redshift clusters (approx. 4PB) and managing a large user base (12-15K) across the business for their analytical needs
  • Implement and test data pipelines from variety of systems (batch and real time).
  • Collaborate with the development team and end customers.
  • Mentor data engineering interns
  • Advise the team on SQL optimization, performance tune when required
  • Troubleshoot existing datasets, broken pipelines, data integrity issues
  • Ensure quality of data through tested deliverables and auditing
  • Understand team, data and software architecture; actively seeks knowledge and solutions

    Bachelors in Computer Science, Engineering, Statistics, Mathematics or related field

  • 1-3 years of experience in data engineering / business intelligence space
  • Experience in managing large databases
  • Curious, self-motivated & a self-starter with a can do attitude’. Comfortable working in fast paced dynamic environment.
  • Good understanding of ETL concepts and explosure to large-scale, complex datasets proessing using traditional or map reduce batch mechanism.
  • Proficient in writing performant SQL working with large data volumes; ability to understand and action query plans
  • Experience with at least one of scripting languages(e.g., UNIX Shell scripting, Python, Perl, Ruby).
  • Exposure to AWS stack / cloud computing
  • Clear thinker with superb problem-solving skills to prioritize and stay focused on big needle movers

    Master’s degree in Computer Science, Information Systems, Mathematics or related discipline

  • Good data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas etc
  • Strong knowledge of Python / Spark / PySpark
  • Strong analytical skills; ability to present complex datasets in visual form
  • Strong understanding of ETL techniques and best practices to handle extremely large volume of data
  • Experience with AWS using S3, EC2, Redshift, Aurora, Lambda, QuickSight, etc.
  • Experience in data ingestions techniques for batch and stream processing using AWS Batch, AWS Kinesis, AWS Data Pipeline
  • Experience in AWS Big Data technologies such EMR, Glue, Athena, Redshift Spectrum
  • Ability to handle multiple, competing priorities in a fast-paced environment
  • Work well in teams, respecting ideas from teammates, business partners, and technical experts
  • Strong ownership and drive to get things done
  • AWS certifications or other related professional technical certifications
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