Data Engineer – Context Awareness

As part of the Engineering Journey, you’ll help shape how 8,000+ engineers design, build, and collaborate every day. We’re building a scalable, consistent, and developer friendly platform, Nexa, and an ecosystem around it. If you enjoy working in a complex engineering landscape, influencing how thousands of developers work, and owning a product that truly matters, this is a great opportunity to make an impact.

You & your role

Our Area consists of eight squads. One of the squads is responsible for context awareness.

Engineering and product teams across the Nexa ecosystem need trusted, well-connected, and observable contextual data. This role ensures that data can be discovered, integrated, understood, and used reliably through standardized pipelines, clear logic, and transparent usage metrics.

Build and evolve the data foundation that powers Context Awareness by discovering relevant data sources, connecting them through meaningful logic, and making usage and value visible through insights and dashboards.

Examples for practices

• Identify and onboard new data sources
• Connect data sources and build context logic
• Create insights and dashboards
• Ensure data quality and reliability
• Advisory role on how to structure and store data on the solution side

Top responsibilities

• Pragmatic delivery mindset; focuses on delivering value quickly and iterating based on feedback
• Product-oriented thinking; treats datasets as products with users and adoption metrics
• Strong collaboration; aligns closely with DevOps and application engineers on shared pipelines and contracts
• Observability-first approach; ensures data flows are debuggable, transparent, and measurable
• Ownership mentality; accountable for data from source discovery to insight delivery

“You really get the space here to drive product innovation that impacts thousands of engineers daily, and you can feel the transformation you're creating,”

Product Manager

You & your talent

• Strong experience with data engineering fundamentals: ingestion, transformation, and serving of data
• Experience designing data models suitable for analytics and operational use cases
• Hands-on experience connecting multiple data sources (APIs, events, databases)
• Experience with cloud-based data solutions, preferably on AWS
• Strong understanding of data quality, validation, and observability
• Comfortable working in containerized environments
• Ability to translate product needs into data logic and measurable outcomes

Nice to have

• Experience with event-driven or asynchronous data flows
• Familiarity with GraphQL and schema-first APIs as data consumers or producers
• Experience working with Neo4j or graph-like data models
• Affinity with or experience in AI / LLM-driven analytics or insights
• Background in large-scale enterprise or financial environments

To be considered for this position, you must be located in the Netherlands and have the legal right to work in the Netherlands. We are unable to consider candidates requiring relocation from another country.