Data Engineering Lead

6 days ago


Remote, Czech Republic AVENGA Full time

About AVENGA

AVENGA is a forward-thinking organization that seeks a highly skilled Data Engineering Lead to shape its data strategy. This role offers an exceptional opportunity for a talented professional to drive innovation, enhance data-driven decision-making, and contribute to the company's growth.

Job Description

  • We are looking for a seasoned Data Engineer with expertise in designing and implementing scalable data pipelines, ensuring high-quality data products, and driving technical governance.
  • The successful candidate will translate business requirements into actionable data product blueprints, collaborating closely with cross-functional teams to ensure alignment and delivery.
  • This role requires strong analytical skills, attention to detail, and excellent communication abilities to effectively coach and guide development teams through Agile sprints.
  • You will be responsible for defining and applying data engineering standards, analyzing and optimizing raw data ingestion pipelines for efficiency, and owning and maintaining data product pipelines while guaranteeing data quality and reliability.

Key Responsibilities

  1. Develop and refine architecture options to match AVENGA's technology landscape and capabilities.
  2. Translate business requirements into data product blueprints for development teams.
  3. Provide technical governance and ensure compliance with best practices.
  4. Lead discussions with internal stakeholders to align architecture options and data products.
  5. Couch and guide the development team through Agile sprints.
  6. Define and apply data engineering standards for developing robust data pipelines.
  7. Analyze and structure raw data ingestion pipelines for efficiency.
  8. Own and maintain data product pipelines while ensuring data quality and reliability.
  9. Advocate for best practices and efficiencies in data engineering processes.
  10. Collaborate proactively with other teams to drive progress.

Requirements and Qualifications

  • Proficiency in SQL/Python and experience with Snowflake, dbt, and Cloud Security.
  • Familiarity with Data Vault Concept and Design, as well as knowledge of Data Mesh concepts.
  • Experience converting legacy architectures (e.g., PULSE) to Data Vault Design using Snowflake, Immuta, Collibra, and Cloud Security.
  • Understanding of Commercial Processes in DIA and associated data.
  • Hands-on experience as a Data Engineer and Data Architect.
  • Strong understanding of Data and Analytics Architecture patterns.

Benefits and Perks

  • Sport subscription.
  • Training budget.
  • Private healthcare.
  • International projects.

About You

We are looking for a motivated and experienced professional who can thrive in a dynamic environment. If you have a passion for data engineering, leadership, and collaboration, we encourage you to apply for this exciting opportunity.



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