Mid/Senior Cloud Data Engineer (GCP / Azure / Snowflake / BigQuery) 100% Remote

Mid/Senior Cloud Data Engineer (GCP / Azure / Snowflake / BigQuery) 100% Remote

We are not a general software house. We focus purely on data at an enterprise scale.

Salary: 20,000 - 30,000 PLN net + VAT / month

Contract: B2B

Location: 100% Remote (Poland-based team)

About the company

the company is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization, and practical AI solutions. We don't do "everything for everyone". We focus exclusively on data.

We are proud to be one of only 10 Google Cloud Managed Partners in Poland, as well as certified Azure and Snowflake Partners. Working with us means building solutions for large organizations and enterprise-scale environments, including clients like Żabka Polska, G2A, and LPP SA.

🛠️ What You Will Work On

At the company, you will work on real data platforms, not simple reporting tasks. You will help build systems that process, transform, and serve data at scale for large organizations. Depending on the project, your mission will include:

• Architecture & Pipelines: Designing, building, and optimizing scalable batch and streaming data pipelines in GCP and/or Azure.

• Modern Data Stack: Working deeply with enterprise ecosystems like BigQuery, Snowflake, or Databricks.

• Coding: Writing high-quality code using Python or JVM languages (Java/Scala), and solving complex problems with SQL.

• Engineering Excellence: Improving data quality, performance, reliability, and observability, while working with orchestration, CI/CD, and infrastructure tools.

• Impact & Consulting: Collaborating directly with architects and client-side teams, taking an active part in technical decisions, code reviews, and helping clients move away from legacy solutions.

🎯 What We Expect (Must-Haves):

• Experience: 3+ years of commercial experience in data engineering.

• Cloud & Platform: Practical experience with at least one major cloud provider (GCP or Azure), as well as  hands-on experience with at least one modern data warehouse/platform (BigQuery, Snowflake, or Databricks).

• Core Skills: Strong programming skills in Python OR Java/Scala, combined with advanced SQL capabilities.

• Data Mastery: Deep understanding of data modeling, data quality, scalable data architecture, and maintaining robust pipelines.

• Communication: English at a B2+ level and communicative Polish.

Nice-to-Have:

• Airflow;

• Kafka or other streaming technologies;

• dbt;

• Spark;

• Terraform;

• CI/CD experience;

• Docker and Kubernetes;

• experience with cloud cost optimization;

• experience in enterprise or long-term client projects;

• cloud certifications.

Discover Our Exemplary Projects:

☁️ Petabyte-Scale GCP Migration: Rearchitecting over 1,000 active Spark pipelines to Cloud Dataproc or BigQuery SQL, fully automated with Cloud Composer, to massively improve scalability.

🛒 Realtime Consumer Data Platform: Building a CDP for a major retail company utilizing GCP (Pub/Sub, Dataflow, BigQuery) combined with open-source components like Kafka, Airflow, Flink, and Kubernetes.

📈 ESG Data Analytics Platform: Developing an Azure-based data platform for an investing company. Databricks acts as the central component for complex ETL processes (Spark/Scala) enriching investment data.

What We Offer:

• Top Compensation: 20,000 - 30,000 PLN net + VAT / month (B2B) + 20 paid days off.

• Growth & Mentorship: A dedicated mentor during onboarding, a training budget, and full financial/educational support in obtaining cloud certifications.

• Community: Work alongside a highly specialized team of around 60 data experts - not a random project assembly.

• Flexibility: 100% remote work and the possibility to switch projects after some time to keep your mind sharp.

• Perks: Private medical care, sports package, English lessons with a native speaker, and fantastic team integrations/company trips.

The Recruitment Process (Simple & Technical):

We respect your time. Our process skips the fluff:

1. Short Tech Quiz (15 min): A quick validation of your data fundamentals.

2. Technical Conversation: A deep-dive discussion with the company engineers about architecture and your past projects.

3. Final Decision & Offer.

Sounds like a good fit? Apply and tell us briefly what kind of data engineering projects you have worked on!