Lead Data Platform Engineer
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Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
Job description
Build the foundation of data-driven transformation
At Riverflex we design and deliver scalable digital solutions that empower companies to harness the full value of data. Were looking for a Lead Data Platform Engineer to join our internal teambringing deep technical expertise and leadership to build scale and evolve our data infrastructure.
In this role youll architect cloud-native data platforms lead the development of data pipelines and tooling and guide a team of engineers in building robust secure and real-time data systems. Youll work cross-functionally with product analytics and client delivery teamsdriving best-in-class data engineering practices and enabling data products that fuel transformation.
The Role
Youll take technical ownership of Riverflexs data engineering stack leading hands-on development while setting standards and mentoring others. Youll play a key role in designing scalable systems that unlock insights and power intelligent products.
Responsibilities
Architect and maintain end-to-end data platforms across cloud environments (Azure Databricks)
Design and implement secure scalable and automated data pipelines.
Collaborate with analytics product and engineering teams to translate business needs into data solutions
Own data platform reliability performance monitoring and incident response
Implement and champion best practices in data modelling governance testing and documentation
Mentor junior engineers and help shape a high-performing data engineering team
Evaluate and integrate new technologies to improve data stack performance scalability and cost-efficiency
Build reusable tooling components and internal frameworks for data pipeline development
Ensure compliance with data privacy protection and security regulations (e.g. GDPR)
Job Requirements
Must-Haves
6 years of experience in data engineering or data infrastructure roles
Strong proficiency in Python SQL and distributed data frameworks (e.g. Spark Kafka Airflow)
Proven experience building data platforms in a cloud-native environment (Azure preferred)
Deep understanding of data lakehouse architectures and modern data warehousing (e.g. Databricks)
Hands-on experience with DevOps practices for data (CI/CD IaC Terraform Docker)
Strong understanding of data governance privacy and compliance frameworks
Comfortable working in fast-paced cross-functional Agile teams
Excellent communication and stakeholder management skills
Nice-to-Haves
Experience leading technical teams or mentoring data engineers
Exposure to MLOps and enabling data pipelines for ML use cases
Familiarity with real-time data processing and event-driven architectures
Experience with dbt Looker or other modern data stack tools
Previous consulting or client-facing experience
What We Offer
25 days off per year plus closure between Christmas and New Years.
Flexible remote work from abroad options for up to 6 weeks per year.
Learning & Development budget including full access to Udemy courses.
Classpass membership to support well-being.
Latest tech & tools including home office budget and professional software subscriptions.
Equity share scheme to give long-term team members ownership in Riverflex.
Annual company trips to celebrate successes together.
All done!
Your application has been successfully submitted!
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
