Data Engineer responsible for building data intelligence system for the public sector. Ensuring data ingestion, quality, correlation, and helping with analytics for decision making.
About the role
- Big Data Engineer focused on architecting and deploying scalable Apache Spark environments. Working on Nebul’s sovereign AI cloud to enhance data performance and security.
Responsibilities
- Architect, deploy, and operate scalable Apache Spark environments on Nebul’s sovereign AI cloud
- Design and optimize Spark workloads for GPU-accelerated and distributed performance
- Define and implement best practices for security, monitoring, governance, and data protection
- Partner closely with product, engineering, and customer teams to shape our managed Spark offering
- Evaluate and integrate complementary technologies (e.g., Delta Lake, Lakehouse components, tooling)
- Support early customer pilots and translate feedback into roadmap improvements
- Develop automation and CI/CD deployment models to ensure reliability, repeatability, and efficiency
- Document architectures, operational procedures, and performance benchmarks
Requirements
- 4–7 years of experience working with Apache Spark in production environments
- Strong deep-dive knowledge of Spark internals: performance tuning, partition strategies, caching, and shuffle management
- Hands-on deployment experience in Kubernetes, cloud infrastructure, or on-prem clusters
- Solid understanding of distributed data platforms (e.g., Databricks, EMR, Hadoop, Lakehouse architectures)
- Strong scripting and automation skills (Python / Scala preferred)
- Ability to translate client needs into technical architectures and operational models
- Familiarity with cloud-security principles and infrastructure-as-code practices
- Valid EU work permit (no sponsorship currently available)
- Fluent in English (Dutch not required)
Benefits
- Competitive compensation
- Growth opportunities
- Equity participation in a critical market
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
BI Specialist focusing on data architecture and insights for RPE. Collaborating with business and technology teams to enhance data governance and analytics.
Technical Lead responsible for delivering innovative software solutions for the healthcare sector. Leading technical teams and ensuring compliance with governance standards across Australia and New Zealand.
Senior Data Engineer dedicated to designing and optimizing cloud data solutions at Leega, a consulting firm focused on innovative client service.
Data Engineer optimizing data integrations for Retail industry. Combine multiple data sources and design ETL workflows while maintaining data quality and security.
Enterprise Data Architect shaping and executing data architecture to support Energy Trust of Oregon's objectives. Collaborating on standards and governance for effective data use.
Senior Data Engineer responsible for building high - performance data pipelines for satellite analytics. Collaborating with ML Engineers and product teams to enable actionable insights from satellite data.
IT Business Solutions Analyst - Data Engineer at JTI collaborating on centralized systems and data - driven solutions while ensuring governance and compliance.
Senior Manager - Data Architect leading enterprise - level data architectures and cloud data platforms. Working in a hybrid consulting environment focused on AI - driven decision - making in Switzerland.
Data Engineer developing tools and analytical capabilities for tracking commodity flows within the Dry Bulk market. Lead data interventions and engage with cross - functional teams for efficient cargo data management.