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Riverflex

Lead Data Platform Engineer

full-time•Amsterdam

Summary

Location

Amsterdam

Type

full-time

Experience

5-10 years

Company links

WebsiteLinkedInLinkedIn

About this role

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. We’re looking for a Lead Data Platform Engineer to join our internal team—bringing deep technical expertise and leadership to build, scale, and evolve our data infrastructure. 

In this role, you’ll 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. You’ll work cross-functionally with product, analytics, and client delivery teams—driving best-in-class data engineering practices and enabling data products that fuel transformation. 


The Role
 

You’ll take technical ownership of Riverflex’s data engineering stack, leading hands-on development while setting standards and mentoring others. You’ll 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 Year's. 

  • 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. 



What you'll do

  • You will architect and maintain end-to-end data platforms across cloud environments and design secure, scalable, and automated data pipelines. Additionally, you will collaborate with various teams to translate business needs into data solutions.

About Riverflex

Traditional consulting models weren't built for the speed of AI. We are. Riverflex is your intelligent transformation accelerator. We help courageous leaders at the world's leading companies drive profound change in the age of AI. Our approach is different by design, built on a unique, human-led framework that delivers real-world results. We believe that successful transformation requires more than just a strategy; it requires a new composition of human and machine. We orchestrate this through our three core pillars: 1. CREATE CHANGE: We don't just write reports; we craft your vehicle of change. We co-develop the vision and strategies that motivate your organization to make difficult turns and go faster. 2. BUILD TEAMS: We don't create dependency; we develop your pit crew. We build the strength of your own team through targeted training and by augmenting your staff with elite interim and permanent hires from our network. 3. AUGMENT INTELLIGENCE: We don't just talk about AI; we deliver your intelligent cockpit. We implement cutting-edge, AI-augmented workflows and custom tools that enhance your organization's decision-making and streamline operations. This is all powered by our global open-talent ecosystem, a curated network of "Riverflex Pros" who are true experts in technology, data, and change management. For Leaders & Innovators: Ready for a next gen consulting partner that builds your capability, not just your slide decks? Let's accelerate your transformation. ✉️ [email protected] For Independent Experts: Are you an elite expert ready to work on challenges that matter? Join our curated network of Pros. 🔗 Apply to the Riverflex Collective: https://platform.riverflex.com

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Frequently Asked Questions

What does a Lead Data Platform Engineer do at Riverflex?

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As a Lead Data Platform Engineer at Riverflex, you will: you will architect and maintain end-to-end data platforms across cloud environments and design secure, scalable, and automated data pipelines. Additionally, you will collaborate with various teams to translate business needs into data solutions..

Is the Lead Data Platform Engineer position at Riverflex remote?

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The Lead Data Platform Engineer position at Riverflex is based in Amsterdam, North Holland, Netherlands. Contact the company through Clera for specific work arrangement details.

How do I apply for the Lead Data Platform Engineer position at Riverflex?

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You can apply for the Lead Data Platform Engineer position at Riverflexdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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