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Data Engineer (Experienced)

As a Data Engineer you will work on complex projects, supporting the whole data lifecycle through integration, transformation, cleaning and data elaboration.

What you will do

  • Designing and developing both batch and real-time solutions to distribute and process data in different data platforms (e.g. Spark, Talend, Kafka)
  • Designing and developing data models on DWH and Data Lakes (es. Vertica, Snowflake, Redshift…)
  • Managing data governance
  • Developing both on-prem and Cloud (AWS, Azure, GCP) customer data platforms
  • Helping customers solving issues regarding data quality & data pipelines
  • Collaborating and sharing your knowledge with other team members, actively supporting the innovation and improvement process
  • Supporting and encouraging your colleagues and their growth: you will serve as a role model, sharing your competencies and giving your team members a sense of responsibility

You can check our Technologies to take a closer look at our stack and main tools.We are a fast growing company and, just like us, you will have the opportunity to rapidly grow both in tech and management skills.
We will support you with a strong investment in personalized learning paths about the most innovative technologies and with a positive environment, open to change and mutual share.

Contract and benefits

  • Permanent contract
  • Open home working policy (office location: Monza) and flexible hours
  • Continuous and personalized training paths - all paid by us
  • Paid overtime (just in case of need)
  • Corporate welfare: an additional bonus for personal interests and free time (e.g. museums, gyms, trips, concerts, shopping, Spotify subscription and much more)
  • Tax assistance
  • Complementary health insurance cover
  • Lunch tickets (both on office and home working days)

Who you are

  • Previous experience in similar roles
  • Positive attitude in teamwork
  • Knowledge and experience in Database use and design (e.g. SQL, NoSQL)
  • Experience building ETL pipelines
  • Experience designing, creating and maintaining both relational and non-relational data architectures and infrastructures
  • Experience in Data Warehouses use and design
  • Experience with container tools (e.g. Docker, Kubernetes)
  • Experience with coding and knowledge of one of these programming languages: Java, Javascript, Python, Scala
  • Curiosity, proactivity and desire to grow!

Any experience in one or more of the following areas:

  • Stream Processing Platforms (such as Kafka) 
  • Big Data
  • Architecture and Cloud tools

Will be considered as a plus.

Apply now
Data Engineer (Experienced) @ Quantyca
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