Engineering Manager – Data Platform

New

Belgium, France, Germany, Ireland, Netherlands, Poland, Spain, United KingdomFull-TimeManager

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

6+ years of relevant experience in engineering.
Prior experience managing and growing engineering teams, including hiring, coaching, and performance management.
Strong hands-on background in designing data pipelines, data models, and platform architecture at scale.
Proficiency in Python and SQL.
Deep understanding of streaming and batch processing architectures (e.g., Kafka, Spark, Flink, Airflow).
Experience with cloud data infrastructure (AWS, GCP, or Azure) and modern data platform tools like dbt or data lakehouse patterns.
Knowledge of data quality, observability, and governance principles.
Demonstrated commitment to AI-first development and experience setting standards for AI-assisted workflows.
Experience delivering in agile environments.
Professional proficiency in English (written and spoken).

Lead and develop a multidisciplinary data engineering team, fostering a culture of technical excellence and ownership.
Mentor engineers at all levels to support their professional growth through coaching and structured feedback.
Own the full lifecycle of data systems, including ingestion, transformation, storage, serving, and observability.
Guide architectural decisions for scalable, high-throughput real-time and batch data systems.
Enforce best practices in data modeling, pipeline reliability, data quality, and secure data handling aligned with PCI-DSS and GDPR.
Champion an AI-first engineering culture, integrating LLM-powered workflows and automated testing.
Collaborate with Product, Analytics, Machine Learning, and Finance teams to deliver business priorities in an agile environment.

View Full Description & ApplyYou'll be redirected to the employer's site