Databricks Data Engineer

Next Ventures Ltd

Brussel, Belgium

24 days ago

Role details

Contract type

Contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

computerjobs.com

Tech stack

Third Normal Form Data Analysis Microsoft Azure Computer Programming Continuous Integration Information Engineering Data Governance Data Mart Data Vault Modeling Data Warehousing Dimensional Modeling Github

+11 more

Python (Programming Language) Machine Learning Role-Based Access Control Standard Sql Azure Data Lake Azure Data Factory Apache Spark Pyspark Star Schema Terraform Databricks

Job description

Next Ventures is currently supporting a global IT consultancy with expanding their Databricks capacity.

For this we are looking for 3 Databricks Data engineers hybrid in Brussels - Details below.

Technical Skills

Solid experience (min. 5 years) with Databricks and the Apache Spark ecosystem, preferably on Azure Databricks.
Strong programming skills in Python and PySpark for data engineering.
Very good SQL skills and understanding of data modelling techniques (eg star schema/dimensional modelling; data vault or 3NF is a plus).
Hands-on experience building data warehouses/data marts or analytical data stores for reporting and analytics.
Experience with Azure Data Lake, Azure Data Factory or similar ingestion/orchestration tools is a strong plus.
Familiarity with CI/CD (Azure DevOps, GitHub Actions) and infrastructure-as-code (Terraform or similar).
Understanding of data governance, security and compliance in the cloud (RBAC, PII handling, auditing).
Knowledge of analytics/ML concepts and how to prepare data for data science teams is a plus.

If you’re interested send a CV to (see below)

The post Databricks Data Engineer appeared first on Next Ventures.

Requirements

Solid experience (min. 5 years) with Databricks and the Apache Spark ecosystem, preferably on Azure Databricks.
Strong programming skills in Python and PySpark for data engineering.
Very good SQL skills and understanding of data modelling techniques (eg star schema/dimensional modelling; data vault or 3NF is a plus).
Hands-on experience building data warehouses/data marts or analytical data stores for reporting and analytics.
Experience with Azure Data Lake, Azure Data Factory or similar ingestion/orchestration tools is a strong plus.
Familiarity with CI/CD (Azure DevOps, GitHub Actions) and infrastructure-as-code (Terraform or similar).
Understanding of data governance, security and compliance in the cloud (RBAC, PII handling, auditing).
Knowledge of analytics/ML concepts and how to prepare data for data science teams is a plus.