Senior Data Engineer


Senior Data Engineer

The company



  • Software, Artificial Intelligence / Machine Learning, SaaS / Cloud Services
  • < 15 employees

The job

Senior Data Engineer

Who are they?

Lynceus is building the first predictive OS for manufacturers. They use manufacturing data and process comprehension to predict the performance of goods and systems within factories. They eventually aim to integrate within the process control tools, and allow for powerful simulations of new process steps.

Semiconductor manufacturing is their first market, but they are also relevant for most high added-value manufacturing, with use cases proven in LED, battery, biopharma and chemical industries. 

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Job description

  • Own the data architecture supporting our platform in the cloud and at the edge in factories
  • Collaborate with our Data Science team to define, develop and deploy the data interface required for our AI (Python)
  • Collaborate with our Machine Learning team to define & develop scalable and reusable data pipelines to improve our product (Pyspark)
  • Provide support and education to any teams member on big data topics: guidelines, best practices, hands on experience via workshops, process definition etc
  • Be comfortable building from scratch and/or from an existing codebase, using the proper technologies to fit the job
  • Promote a data driven and data quality culture

Preferred experience

What we’re looking for

Someone who has

  • 3+ years of hands-on data engineering (Spark)
  • Excellent data manipulation skills
  • Track record of deploying and maintaining efficient and scalable data pipelines
  • Knowledge of pipeline deployment and execution with proper cluster configuration
  • At least one significant experience in a Cloud based environment
  • A mindset that is: Agile, Iterative, DevOps and value-driven
  • Good communication & teamwork
  • Interest in training and helping others
  • Ability to take the lead on important projects and be proactive
  • Fluency in english

Cherry on the cake

  • Pyspark experience
  • Docker and Kubernetes regular use
  • AWS Experience
  • CI/CD culture and experience
  • Interest in software craft practices and architecture patterns

Recruitment process

  • A first screening call (around 30 min)
  • A technical interview (1h)
  • A final interview with the founders of the company (1h)


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