TL;DR

Data Engineering Manager: Leading and delivering scalable, high-quality data products and platforms with an accent on cloud-based data pipelines, data mesh architectures, and cross-functional collaboration. Focus on managing multidisciplinary teams, driving data platform modernization, and ensuring reliability and scalability of core data assets.

Location: Based in France, Germany, the Netherlands, or the United Kingdom with hybrid work environment

Company

%hirify_global% is a software company focused on building scalable data platforms and enabling data-driven decision-making.

What you will do

Lead and mentor a high-performing team of data and software engineers, driving impact through coaching and performance management.
Deliver scalable data products, shared models, and enablement platforms for analytics, marketing, and product teams.
Design and standardize data pipelines and transformations using tools like dbt, Airflow, and Snowflake.
Drive data migrations and modernization from legacy to cloud-based platforms.
Collaborate with Product, Analytics, and Marketing Technology teams to maintain reliable data flows and integrations.
Contribute to platform reliability using containerization and infrastructure-as-code tools.

Requirements

Location: Must be based in France, Germany, the Netherlands, or the United Kingdom
8+ years in data or software engineering with exposure to data, analytics, and platform domains.
2+ years managing engineering teams including performance management and promotions.
Hands-on experience with SQL, Python, and modern data stack tools (dbt, Airflow, Snowflake, Spark).
Experience with event tracking platforms and marketing/CRM APIs.
Familiarity with containerization (Docker), Kubernetes, and infrastructure automation (Terraform).

Culture & Benefits

Highly competitive salary package.
Hybrid work environment with allowance and temporary work from abroad policy.
Regular team and social events, referral bonuses, and location-dependent benefits.
Values include integrity, stewardship, evidence-based decision-making, continuous learning, collaboration, and inclusivity.