Senior Data engineer

We are looking for specialist knowledge for Team Hubsters for this assignment. We need a Data Engineer with DevOps experience to support the development of a sustainable data & analytics platform, so that new insights can be developed quickly and qualitatively through a standardized working method. Update of the D&A data landscape by means of:

Implementing development building blocks (Airflow, DBT)

Maintaining and managing raw data flows

Supporting DataOps teams

The DevOps experience is clearly evident in the collaboration with the Fundamentum team in the ART IT Foundation. Team Fundamentum provides building blocks for:

data ingestion-all data loads for data analytics,

data warehouse-central repository of structured data from multiple source systems, for the purpose of data analysis or reporting,

dashboarding/reporting-enables data and data analyses to be visually displayed

Your tasks will include

Designing and implementing data models and ETL logic

Realizing scalable and robust data pipelines

Building a standardized and digitized data ecosystem

Collaborating in multidisciplinary teams within Data & Analytics

Working with modern tools such as Airflow, AWS, DBT, Snowflake, Terraform, and Iceberg

Do you have experience in Terraform?, Minimum HBO or WO working and thinking level in a relevant field

Minimum 5 years of experience as a Data Engineer

Demonstrable software engineering background

Experience with SQL, relational databases, ETL processes, and data modeling

Knowledge of data warehouses, data lakes, and cloud-based BI solutions

Knowledge of and experience with Airflow, AWS, and DBT.

Strong analytical skills and attention to detail

Communication skills in Dutch

Pre: Experience with Snowflake, Terraform, and Iceberg

Pre: Experience in the energy sector, preferably with a network operator

Pre: Experience with Agile/SAFe/Scrum