Senior Data Engineer
Senior Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Job Description
Senior Data Engineer Scale-Up Opportunity
Are you passionate about building scalable high-performance data architectures Were looking for a Senior Data Engineer to join a fast-paced scale-up environment where problem-solving and adaptability are this role youll be responsible for designing building and optimizing data pipelines using open-source technologies AWS and ClickHouse (or equivalent OLAP databases) to support evolving business needs.
This is an opportunity to make a real impact by driving efficiency reliability and scalability in data-driven decision-making. If you thrive in a hands-on role and enjoy collaborating with engineering teams to create cutting-edge data solutions wed love to hear from you.
Key Responsibilities:
Data Pipeline Design: Architect scalable high-performance data solutions using AWS and OLAP databases like ClickHouse.
ETL/ELT Development: Design build and maintain efficient data pipelines for large-scale data ingestion transformation and storage.
Cloud Infrastructure: Utilize a combination of open-source and AWS technologies to optimize data workflows.
Data Governance & Quality: Ensure data accuracy consistency and reliability through best practices in data governance lineage and monitoring.
Performance Optimization: Improve data storage retrieval and processing through partitioning indexing and query tuning.
Collaboration & Leadership: Work closely with data scientists analysts and engineers while mentoring junior team members.
Automation & CI/CD: Implement automated deployment and monitoring strategies for data pipelines.
What Were Looking For:
- 5 years of experience in data engineering with a focus on open-source and cloud-native solutions.
- Expertise in ClickHouse (or similar OLAP databases).
- Strong experience in designing and architecting large-scale data systems.
- Proficiency in Python (or other scripting languages) for data processing and pipeline development.
- Deep understanding of ETL/ELT processes data modeling (Star Schema Snowflake Schema) and data warehousing.
- Hands-on experience with orchestration tools like Apache Airflow Step Functions or Dagster.
- Familiarity with infrastructure-as-code tools (Terraform CloudFormation CDK) is a plus.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Knowledge of SQL performance tuning materialized views and sharding strategies for large datasets.
- Experience with containerization (Docker Kubernetes) and serverless computing.
- Familiarity with monitoring tools like Prometheus Grafana AWS CloudWatch.
This is an exciting opportunity to join a market leading E-Learning provider based in Eindhoven. If you are interested please apply through the Leap29 website with your updated CV.
Required Experience:
Senior IC
Employment Type
Full Time
