Data Engineering Lead for High-Performance Data Architectures

2 days ago


Remote, Czech Republic Link Group Full time

About the Role

We are seeking an experienced Data Engineering Lead to join our team at Link Group. This is a unique opportunity to lead and mentor a team of data engineers while actively contributing to pipeline development, architecture design, and system optimization.

Key Responsibilities

  • Design and implement scalable, high-performance data architectures that meet business needs.
  • Build and manage ETL pipelines using Airflow, Snowflake, and DBT to ensure seamless data flow.
  • Establish and enforce best practices for data partitioning, retention, security, and governance to maintain data integrity.
  • Collaborate with stakeholders to align data solutions with business objectives and promote a data-driven culture.
  • Continuously drive innovation in data engineering processes and architecture strategies to stay ahead of the curve.

Requirements

  • 7+ years of experience in data engineering, including 2+ years in a leadership or architecture role.
  • Expertise in Airflow, Snowflake, DBT, and advanced knowledge of Python, Spark, SQL, and AWS.
  • Proven experience in designing and deploying large-scale data warehouses and building complex data models.
  • Hands-on experience with third-party APIs and external data sources.
  • Strong ability to optimize system performance, streamline ETL workflows, and enhance data storage solutions.
  • Excellent communication skills with the ability to bridge technical teams and business stakeholders.

Preferred Skills

  • Understanding of adtech ecosystems (DSPs, ad servers, etc.).
  • Familiarity with tools like Apache Druid, AWS Glue, and PySpark (current stack, slated for replacement).
  • Experience defining data governance policies and implementing best practices for data management.
  • Knowledge of CI/CD tools and modern DevOps practices.


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