Director of Data Engineering

Location
Contract type
Full time
Salary
Od 5000 Eur

Popis pozície

We are looking for a visionary Director of Data Engineering to build a single, scalable, enterprise-wide Unified Data Platform from scratch. You will transform a global telecom-scale ecosystem into an AI-ready powerhouse, enabling reusable data products and powering next-gen analytics for millions of customers across Europe.

1. Unified Data Platform Architecture

  • Standardize & Scale: Lead the design of a global platform serving 11+ countries, replacing fragmented systems with a robust, reusable infrastructure.

  • Interoperability: Define architectural patterns that ensure seamless data flow and scalability across international borders.

2. Data Product Reusability

  • Domain Frameworks: Build frameworks for standardized data products across business units (HR, Commerce, Network, Customer).

  • Efficiency: Enable departments to publish data products once and consume them anywhere, drastically reducing pipeline duplication.

3. AI-Ready Foundations

  • Fuel Innovation: Architect the data foundation required for GenAI, Machine Learning, and real-time analytics.

  • Strategic Partnership: Collaborate with AI teams to support large-scale model training and high-performance inference workloads.

4. Cloud Engineering Excellence

  • Hands-on Strategy: Design and oversee the implementation of pipelines using the full Cloud Stack (BigQuery, Dataform, Cloud Composer/Airflow, Pub/Sub, Dataflow).

  • Modern Tooling: Implement cutting-edge orchestration, ingestion, and transformation frameworks.

5. Engineering Leadership & Governance

  • Build the Best: Recruit, lead, and mentor high-performing, globally distributed engineering teams.

  • Set the Bar: Define engineering standards, data contracts, and platform governance (security, lineage, quality).



Requirements

Technical Expertise:

  • Proven Track Record: Extensive experience in Data Engineering and Data Platform Architecture.

  • Cloud Specialist: Deep expertise in either AWS, Azure, Google Cloud Platform technologies.

  • Programming Mastery: Proficient in Python and SQL (Java or Scala is a strong plus).

  • AI/ML Focus: Experience building data platforms specifically designed for ML and GenAI production workloads.

Leadership & Background:

  • Global Leader: Experience managing large, distributed engineering teams in a complex corporate environment.

  • Industry Context: Background in Telecom, Fintech, or large-scale enterprise ecosystems.

  • Strategic Mindset: Ability to balance long-term architectural vision with immediate business value.



Benefits

WHY JOIN US?

  • Pure Greenfield: This is a rare "start-from-scratch" opportunity at a massive scale.

  • European Impact: Your work will directly steer the innovation model for one of Europe’s leading telco providers.

  • Tech-First Culture: We invest heavily in cloud-native platforms, agility, and cross-functional entrepreneurial projects.



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Contact person

Martin Stopka

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