Senior Data Platform Engineer (dbt, Databricks, Apache Spark, Python)

Overview

In this role you will own and advance a data platform powering a retail media SaaS used by multiple brands across Europe. You will drive data engineering best practices, modernize pipelines with dbt and Databricks, and enable self-service data capabilities for cross-brand teams. You’ll tackle scalable batch and streaming data, ensure data quality and observability, and collaborate across engineers to raise engineering quality. This is a mission-driven opportunity to shape data platforms for a fast-growing ad-tech ecosystem.

Arbeidsvoorwaarden / Benefits

• Annual salary up to 105K including holiday allowance and flexible bonus
• Minimum 20 days paid vacation (option to add 12.5 more)
• Flexible working hours
• AH Tech Academy training curriculum
• Pension plan with enhanced employer contribution
• Travel allowance or NS-business card

Verantwoordelijkheden

• Migrate and design data pipelines on a modern dbt-based platform
• Develop and evolve scalable batch and streaming data systems processing millions of records
• Embed test automation and data quality standards into delivery workflows
• Guard data models and data integrity for downstream consumers
• Build self-service data models to empower other teams
• Improve reliability, performance, and cost-efficiency of the data platform
• Coach and mentor engineers through reviews, standards, and knowledge sharing
• Lead technical discussions and help teams evaluate architectural trade-offs
• Partner with platform engineers and architects to shape the platform’s direction

Belangrijkste vereisten

• 5+ years of data engineering experience
• Extensive hands-on dbt experience (data modeling, testing, incremental processing)
• Strong Databricks and Apache Spark in production
• Strong SQL and Python development
• Experience designing and operating batch and streaming data pipelines
• Experience with lakehouse/medallion architectures
• Experience optimizing performance, reliability, and cloud costs at scale
• Experience with Terraform and IaC practices

• Mentoring and coaching engineers
• Proactive ownership and initiative
• Strong communication and stakeholder management
• dbt data modeling, testing, incremental processing
• Databricks
• Apache Spark