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

Contattaci!

Data Engineer (Experienced)

What you will do

Contract and benefits

Who you are

Contattaci!

Entra a far parte del team Quantyca, facciamo squadra!