Description
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.
Responsibilities
•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.
Requirements
•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.
•Ability to write clean code and 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.
Nice to have
•Familiarity with containerization and orchestration (Docker, Kubernetes/GKE).
•Understanding of modern Data Mesh concepts.
Conditions
•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 of your mental well-being.
•Private medical care and a MultiSport card.
•Organizational involvement in climate action - 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-month trial period, a permanent contract will be offered.
•Onboarding program and Buddy to facilitate a quick start.
•Parking for bikes, gaming room.
