Senior Data Engineer

SALESTUBE sp. z o.o.; Warszawa; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Hybrid work model

Pet-friendly office

Language platform access (English/Ger)

Private medical care

Multisport card

Climate action initiative with WWF

Buddy onboarding

Parking for bikes

Job summary

SALESTUBE sp. z o.o. is seeking a Senior Data Engineer to architect scalable Google Cloud data platforms and mentor the team in best practices. You will collaborate with stakeholders to translate requirements into robust data solutions and help drive operational excellence across the cloud estate.

You will focus on designing secure, reliable data pipelines, standardizing ETL/ELT, and providing strategic guidance while hands-on coding when needed.

Qualifications

• 5+ years of commercial data engineering with Google Cloud.
• Google Cloud Professional Data Engineer certification (expected or to be obtained within first month).
• Advanced knowledge of Google Cloud services: BigQuery, Cloud Storage, Pub/Sub, BigTable, Dataflow, Dataproc, Cloud Functions/Run, IAM, Networking.
• Advanced SQL skills (window functions, partitioning, clustering in BigQuery) and Python proficiency.
• Excellent communication skills to act as a technical partner for external stakeholders.
• English proficiency at a minimum B2 level.

Responsibilities

• Design scalable Google Cloud data architectures from the ground up, filling workloads of a Cloud Architect.
• Moderate discovery sessions, translate architectural concepts into business value, and challenge client requests during pre-sales and project phases.
• Transform ETL scripts into standardized ELT frameworks, implement metadata-driven architectures, and define rules for orchestration.
• Design and implement security standards, audit logging, and data quality monitoring.
• Mentor the team through pair programming, set technical standards, and conduct code reviews.

Skills

Google Cloud Data Engineering

BigQuery

Advanced SQL

Python

CI/CD (GitHub Actions/Cloud Build)

Infrastructure as Code (Terraform)

Airflow

Communication skills

English proficiency (B2)

Tools

Git

GitHub Actions

Cloud Build

Terraform

Airflow

Kubernetes (GKE)

Docker

Job description

Nasze wymagania:

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.

Mile widziane:

Familiarity with containerization and orchestration (Docker, Kubernetes/GKE).

Understanding of modern Data Mesh concepts.

O projekcie:

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. You'll still get your hands dirty when needed—especially to show the team how things should be done but your focus will be on driving operational excellence, establishing and propagating standards, and business advisory. You also won't have to worry about managing budgets or project timelines, as our Technical Project Managers (TPM) handle all of that.

Zakres obowiązków:

• 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.

Oferujemy:

• 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.