Data Engineer

We are looking for an experienced Data Engineer who can take a proactive role in a self-organized and driven team where the “Innovation by All” revolution is well underway.

If you are eager to work in an agile organization, where re-prioritization happens regularly, and you are willing to drive the agenda and continually find improvements both in code and in processes, HTEC is the right place for you.

Important note: All interviews are held online as we follow the recommendations and the current situation considering coronavirus.

Key Responsibilities:

  • Participate in the design and development of Big Data applications
  • Create ETL processes and frameworks for analytics, data management, and data warehousing
  • Implement large-scale near real-time streaming data processing pipelines
  • Scaling and optimizing data systems for batch and streaming operations
  • Implement and manage the data life cycle stages


  • Strong coding experience in Scala, Java or Python 
  • Strong knowledge of relational and non-relational databases
  • Experience with REST/SOAP APIs
  • Experience with most common AWS services (EC2, S3, …)
  • In-depth knowledge of the Hadoop ecosystem (HDFS, Spark, HIVE)
  • Knowledge of Unix-like operating systems (shell, ssh, grep, awk)
  • Experience with Github-based development processes and scrum methodology
  • Fluent English is a must

An ideal candidate would also have:

  • Experience with streaming technologies (Kafka, Spark Streaming)
  • Experience with job scheduling tools (Jenkins, Apache Airflow)
  • Experience with building data pipelines on AWS, Azure, or Google Cloud
  • Experience with data modeling, data architecture, and data versioning
  • Experience with BI platforms and solutions (Tableau, Qlik, …)
  • Experience with Machine Learning would be a huge plus

What we offer

Permanent contract and competitive salary

Innovative and cutting-edge projects

Flexible working hours

Private healthcare service

Flat hierarchies and short decision paths

Team events and sport activities

Fast personal development and a steep learning curve

Rapidly growing, friendly and extremely pleasant working environment

Full fridge of drinks and fresh fruits, and an office packed with positive energy

Maybe you are our next colleague?

Apply for the Data Engineer