Data Engineering Leadership Role

6 dni temu


Wrocław, Województwo dolnośląskie, Polska Experis Manpower Group Pełny etat

Job Description

We are seeking an experienced Data Engineer to lead our team and drive innovation in data engineering practices and system architecture. As a Lead Data Engineer, you will be responsible for designing and implementing scalable data architectures, building ETL data pipelines using Airflow, SnowFlake, and DBT, and defining and enforcing data partitioning, retention, governance, and security best practices.

Key Responsibilities:

  • Lead and mentor a team of data engineers while staying hands-on with data pipelines, architecture, and system optimization
  • Design and implement scalable data architecture to meet business needs
  • Build ETL data pipelines using Airflow, SnowFlake, and DBT to efficiently process and store data
  • Define and enforce data partitioning, retention, governance, and security best practices to ensure data integrity and compliance
  • Collaborate with stakeholders to align data practices with business goals and foster a data-driven culture
  • Proactively drive innovation in data engineering practices and system architecture to stay ahead of industry trends
  • Translate business needs into technical specifications and document data architecture and pipelines to ensure clarity and understanding

Required Skills and Qualifications:

  • 7+ years in data engineering, including 2+ years in a leadership or architecture role with experience designing and deploying large-scale Data Warehouses
  • Proficiency in Airflow, SnowFlake, DBT, Python, Spark, SQL, and cloud services (AWS) with advanced proficiency in data modeling and third-party APIs and external data sources
  • Experience working with complex data systems and ability to optimize system performance, ETL workflows, and data storage solutions
  • Strong communicator capable of bridging technical and non-technical teams with excellent communication skills, both written and verbal
  • Master's degree in Computer Science, Data Science, or related field

Preferred Skills:

  • Familiarity with adtech ecosystems (DSPs, ad servers, etc.) and knowledge of design patterns and best practices for data architectures
  • Exposure to Apache Druid, AWS Glue, PySpark, and CI/CD tools
  • Ability to work in a fast-paced environment and adapt to changing priorities and requirements

Our Offer:

  • 100% remote work arrangement
  • MultiSport Plus benefits package
  • Group insurance and Medicover Premium
  • e-learning platform for professional development


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