Dutch Speaking Data Engineer

Embark on a data journey together with us at Sparkle, where don't just consult on BI – we ignite data revolutions. We are a holistic data partner with a strategic mindset, cutting-edge engineering & AI expertise. We help our clients become more data driven, and we make sure that they unleash the full potential of their data.

Within our fun team you'll collaborate with seasoned professionals, each contributing their unique expertise to guide our clients through their data journey. At Sparkle, we stay ahead of the curve by working with the latest technologies and proudly hold certification as a Microsoft Partner.

With our headquarters situated in Belgium and our footprint into the Netherlands and Estonia, we are strategically positioned to serve clients both locally and across the Baltic region. Together we are shaping the future of data.

As a Databricks Data Engineer you:
Will be at the forefront of designing and building robust data pipelines
Leverage the power of Databricks by transforming raw data into the fuel for smarter business decision and groundbreaking innovation
Architect and develop efficient Databricks-centric data platforms for a range of industries
Craft ETL/ELT processes using a combination of PySpark, SQL, and Delta Lake
Streamline data ingestion processes from diverse sources (cloud, on-premise)
Collaborate with stakeholders to implement data quality and governance practices
Your experience goes beyond basic use, showcasing in-depth optimization techniques
Data Warehousing Aptitude : firm grasp of data warehousing principles, schemas (star/snowflake), and experience optimizing performance for large-scale datasets
Big Data Coding : fluency in SQL, Python, or Scala, specifically for data manipulation, transformations, and building robust ETL/ELT pipelines
Fluent in English and Dutch or French (for Wallonia region) or Estonian (for Estonia)
Azure Ecosystem Familiarity : experience with Azure Synapse Analytics, Data Factory, SQL Databases, or other complementary Microsoft data technologies
Machine Learning Integration : track record of building and deploying machine learning models directly within the Databricks environment
Broader Cloud Knowledge : awareness of cloud data services (AWS/GCP) and other big data technologies (Spark, Hadoop) is a definite plus
You'll have the opportunity to work on cutting-edge projects, enhance your skills alongside experts in the field of data (and humor!), Choose your apple tree buddy while your training budget lets you explore and expand your skills
Our team thrives on team well-being, diversity & knowledge sharing
We are always looking for talent in Belgium, Estonia or The Netherlands. If you cannot find a suitable job opening, don’t hesitate to send your spontaneous application to Voir email sur sparkle2.recruitee.com.