Databricks Data Engineer
Databricks Data Engineer
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Job Description
Job description
Embark on a data journey together with us at Sparkle where dont just consult on BI we ignite data revolutions. We are a holistic data partner with a strategic mindset cuttingedge 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 youll 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 withthe 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 aproud member of the Cronos ecosystem Sparkle offers more than just a workplace we are a goto destination forpersonal professional growth & 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 Databrickscentric 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 onpremise)
- Collaborate with stakeholders to implement data quality and governance practices
- Troubleshoot and optimize Databricks environments for enhanced performance
Job requirements
You can Sparkle in this role if you have following must & nicetohaves:
Must haves
- Databricks Mastery: demonstrable handson proficiency with core Databricks components Delta Lake Databricks SQL and MLflow. Your experience goes beyond basic use showcasing indepth optimization techniques
- Data Warehousing Aptitude: firm grasp of data warehousing principles schemas (star/snowflake) and experience optimizing performance for largescale 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)
Nice to haves
- 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
What we have to offer you when you become a Sparkleer:
- Youll have the opportunity to work on cuttingedge projects enhance your skills alongside experts in the field of data (and humor! and contribute to solutions that make a real difference
- Were committed to your professional growth offering a path to advance your career in a collaborative and supportive your apple tree buddywhile your training budget lets you explore and expand your skills
- An attractive salary package in line with your expertise including a company car & fuel card or mobility budget hospitalization and group insurance and topnotch gadgets that come extra being part of the Cronos Group
- Our team thrives on team wellbeing diversity &knowledge sharing
- Hybrid way of working. No rules on coming to the office so that means time for your children partner or dog/cat/parrot/bunny/...
We are always looking for talent in Belgium Estonia or The Netherlands. If you cannot find a suitable job opening dont hesitate to send your spontaneous application to if you think you there will be a mutual match!
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Employment Type
Full-Time
