Elastic Data Engineer
Quick Summary
Design, implement, and document necessary components for the data architecture. Set up performant Kafka and Elastic stacks, ensuring schema management, topic management, and indexing strategies.
Proven experience with event-driven systems and real-time data integration. In-depth knowledge of Apache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) and Elasticsearch (including Kibana,
Keystone Solutions is seeking an experienced Data Engineer for a consultancy mission at a client site. The client is undergoing an ambitious digital and organizational transformation, focusing on modern processes, stronger operational support, and more data-driven services. You will play a crucial role in establishing and managing an event-driven data architecture utilizing Apache Kafka as a buffering and processing layer, and Elasticsearch as a data lake solution for both structured and unstructured data.
Responsibilities
~1 min read- →Design, implement, and document necessary components for the data architecture.
- →Set up performant Kafka and Elastic stacks, ensuring schema management, topic management, and indexing strategies.
- →Ensure data consistency, scalability, and observability throughout the entire data ingestion to consumption process.
- →Make data available via a data service layer (REST APIs, microservices) and handle error management and optimization of the entire pipeline.
- →Work with Docker, Kubernetes, and Openshift for the deployment of components.
- →Maintain observability, error handling, and optimization through CI/CD pipelines (GitLab CI) and Python scripting.
Requirements
~1 min read- Proven experience with event-driven systems and real-time data integration.
- In-depth knowledge of Apache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) and Elasticsearch (including Kibana, ingest pipelines, index lifecycle management).
- Methodical and precise work ethic to ensure data consistency and scalability.
- Ability to work autonomously, propose solutions, and adapt quickly to changes.
- Strong documentation skills for analyses, pipelines, schemas, configurations, and technical choices.
- Excellent written and verbal communication skills for effective collaboration with specialists and user representatives.
- Ability to prioritize within a complex environment with multiple data pipelines and processes.
- Client-oriented and solution-focused attitude, capable of working under stress and creatively addressing challenges.
Dutch
Level Active knowledge
English
Level Active knowledge
French
Level Active knowledge
What We Offer
~1 min read- Apache Kafka (Streams, Connect, Schema Registry, Avro, ksqlDB) - Level: Confirmed - Most recent: Any time
- CI/CD tools (GitLab CI) - Level: Confirmed - Most recent: Any time
- Data Service Layer (REST API’s, microservices) - Level: Confirmed - Most recent: Any time
- Docker, Kubernetes en Openshift - Level: Confirmed - Most recent: Any time
- Elasticsearch (Kibana, ingest pipelines, index lifecycle management) - Level: Confirmed - Most recent: Any time
- Indexingstrategieën en data-consistentie (Elasticsearch) - Level: Confirmed - Most recent: Any time
- Observability, foutafhandeling en optimalisatie van data-pipelines - Level: Confirmed - Most recent: Any time
- PostgreSQL - Level: Confirmed - Most recent: Any time
- Python - Level: Confirmed - Most recent: Any time
- Schema management en topicbeheer (Kafka) - Level: Confirmed - Most recent: Any time
Location & Eligibility
Listing Details
- First seen
- August 4, 2026
- Last seen
- August 17, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- August 4, 2026
Signal breakdown
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