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Data engineer in martech

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Summary

Senior Data Engineer at a martech company who designs scalable Google Cloud data architectures, converts ETL scripts into standardized ELT frameworks, and sets security, audit and data-quality standards. Acts as technical mentor (pair programming, code reviews) and client-facing partner. Core stack: BigQuery, Dataflow, Airflow, Terraform, Python.

Описание:

We are looking for a (Senior) Data Engineer who will act as a technical mentor, define our architecture, and bring best practices to our Google Cloud ecosystem. You will step away from the daily grind of closing simple coding tickets to become a "force multiplier" for the rest of the team.

Задачи:

  • Designing scalable Google Cloud data architectures from the ground up, effectively filling some workloads of a Cloud Architect.
  • Moderating discovery sessions, translating architectural concepts into business value, and challenging client requests during pre-sales and project phases.
  • Transforming ETL scripts into standardized ELT frameworks, implementing metadata-driven architectures, and defining rules for orchestration.
  • Designing and implementing security standards, audit logging, and data quality monitoring.
  • Acting as the technical mentor for the team through pair programming, setting technical standards, and conducting code reviews.

Требования:

  • Minimum 5 years of commercial experience in data engineering with Google Cloud Google Cloud Professional Data Engineer certification (expected or to be obtained within the first month of work).
  • Advanced knowledge of the Google Cloud ecosystem: BigQuery, Cloud Storage, Pub/Sub, BigTable, Dataflow, Dataproc, Cloud Functions/Run, IAM, Networking Practical experience with Git, CI/CD pipelines (GitHub Actions/Cloud Build), and Infrastructure as Code (e.g., Terraform), as well as Airflow.
  • Advanced SQL skills (window functions, partitioning, clustering in BQ) and Python proficiency.
  • You know how to write clean code and can optimize queries and cloud costs effectively.
  • Excellent communication skills to act as a technical partner for external stakeholders.
  • English proficiency at a minimum B2 level.
  • Будет плюсом: Familiarity with containerization and orchestration (Docker, Kubernetes/GKE); Understanding of modern Data Mesh concepts

Условия:

  • Support in certification process from the most advanced Google tools
  • 2 hours per week for developing your hobbies or spending time with loved ones (work until 3:00 PM on Fridays)
  • Hybrid work model - true and flexible ;)
  • Pet-friendly office - feel free to take your pet to our office well-matched teams - 96% of our employees are satisfied with working in their teams
  • Free access to the language platform (eTutor) - you can learn English or German
  • Unlimited access to the EAP platform to take care for your mental well-being
  • Private medical care and a MultiSport card
  • Organizational involvement in climate action - check out our Declaration with WWF Poland
  • advanced culture of knowledge-sharing Internally developed evaluation system: development discussions
  • a clear career path
  • individual approach
  • and the possibility of changing specialization
  • Additional benefits for employees with at least 5 years seniority (+10 more days off, high insurance coverage)
  • Baby bonus for new parents
  • Development program - People Manager
  • Employment contract - after the 3-months trial period, we will offer you a permanent contract
  • Onboarding program and Buddy to facilitate a quick start
  • Parking for bikes
  • gaming room

Skills

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See also

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