Data engineer in martech

Salestube; Warszawa; Hybrid; PLN 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Pet-friendly office

Private medical care

MultiSport card

Language platform access

Employee development program

Job summary

Salestube is seeking a (Senior) Data Engineer to define our Google Cloud architecture and mentor the team. You will move beyond simple ticket work to become a force multiplier, shaping data platforms and best practices.

You will design scalable cloud data architectures, lead discovery sessions, standardize ELT patterns, and ensure data security and quality. English at least B2 is required, with a hybrid work model.

Qualifications

• Minimum 5 years of commercial data engineering experience with Google Cloud.
• Google Cloud Professional Data Engineer certification or in progress within first month.
• Advanced knowledge of BigQuery, Cloud Storage, Pub/Sub, Dataflow, Dataproc, IAM, Networking.
• Practical experience with Git, CI/CD pipelines (GitHub Actions/Cloud Build), and Infrastructure as Code (Terraform), plus Airflow.
• Advanced SQL skills and Python proficiency; write clean, optimized code.
• Strong communication; act as a technical partner for stakeholders; English at least B2.
• Nice to have: Docker/Kubernetes familiarity; Data Mesh concepts.

Responsibilities

• Design scalable Google Cloud data architectures from the ground up.
• Moderate discovery sessions; translate architecture into business value.
• Transform ETL scripts into ELT frameworks; define orchestration rules.
• Design and implement security standards, audit logging, and data quality monitoring.
• Mentor the team via pair programming, set technical standards, and review code.

Skills

Google Cloud

BigQuery

Python

SQL

CI/CD

Terraform

Airflow

Data Mesh

Kubernetes

English (B2)

Tools

Git

GitHub Actions

Cloud Build

Terraform

Airflow

Docker

Kubernetes

Job description

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