Job offer

Data Engineer

We are always looking for great new talents - ambitious people with new ideas, motivation and the energy to act.


  • Design, build and maintain complex ETL jobs that deliver business value 
  • Translate high-level business requirements into technical specs 
  • Ingest data from disparate sources into the data lake and data warehouse 
  • Cleanse and enrich data and apply adequate data quality controls 
  • Provide insight and direction to guide the future development of data platform 
  • Develop re-usable tools to help streamline the delivery of new projects 
  • Collaborate closely with other developers and provide mentorship 
  • Evaluate and recommend tools, technologies, processes and reference architectures  
  • Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements 


  • Proficient in data management including data analytical capability
  • Excellent verbal and written communications, high attention to detail
  • Ability to manage diverse projects impacting multiple roles and processes
  • Candidate should be able to troubleshoot problem areas and identify data gaps and issues
  • Ability to adapt to fast changing environment
  • Strong experience with database modeling and schema design for relational databases 
  • Experience Working with Relational Databases like Postgres, Vertica etc.
  • Experience with Git, JIRA, Jenkins, Confluence 
  • Experience with ETL, data transformations & Datawarehouse Concepts
  • Understanding of Linux, AWS (or other cloud platforms), Python
  • Cloud: Experience working in a cloud environment (e.g. AWS) 
  • Experience dealing with data pipelines using Python and/ Pyspark 
  • Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka 
  • Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow) 


  • Data: 5+ years of experience with data analytics and warehousing 
  • SQL: Deep knowledge of SQL and query optimization 
  • ETL: Strong understanding of ETL methodologies and tools 
  • Hands-on experience with various cloud-based database technologies (Aurora, Vertica, Redshift, etc.) 
  • Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation) 
  • Experience in data governance a plus. 

Data Engineer  

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