Cloud Data Engineer (GCP / Azure / Snowflake / BigQuery)

Technologies we use

Expected

• Google Cloud Platform
• Azure
• BigQuery
• Snowflake
• Scala
• Java
• Python
• SQL

Optional

• Apache Airflow
• Apache Kafka
• Docker
• Kubernetes

About the project

Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions.

You do not need to know GCP, Azure, Snowflake and BigQuery all at once. We are looking for people who are strong in at least one cloud or data stack and are ready to develop their skills in the others.

We work with large organizations and enterprise-scale data environments. Our clients include companies such as Żabka Polska, G2A and LPP SA.

We are one of only 10 Google Cloud Managed Partners in Poland. We are also an Azure Partner and Snowflake Partner, with strong experience in GCP, Azure, Snowflake and Databricks ecosystems.

We are not a general software house doing everything for everyone. We focus on data.

This is how we organize our work

Team size

3-7

This is how we work

• at the client's site
• you focus on a single project at a time
• you can change the project
• you have influence on the choice of tools and technologies
• you focus on product development
• agile

Your responsibilities

You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include:

● designing, building and optimizing data pipelines in GCP and/or Azure;

● working with BigQuery, Snowflake or Databricks;

● using Python or JVM languages such as Java or Scala;

● working with SQL in complex data environments;

● developing scalable batch and streaming data processing solutions;

● improving data quality, performance, reliability and observability;

● working with orchestration, CI/CD and infrastructure tools;

● collaborating with architects, engineers and client-side teams;

● taking part in technical decisions, code reviews and solution design;

● helping clients modernize their data platforms and move away from legacy solutions.

Our requirements

• at least 3-4 years of experience in data engineering;
• practical experience with at least one cloud platform: GCP or Azure;
• hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks;
• strong Python or Java/Scala skills;
• strong SQL skills;
• experience with building and maintaining data pipelines;
• understanding of data modeling, data quality and scalable data architecture;
• good communication skills;
• English at B2+ level;
• Polish at a communicative level.

Optional

• 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.

What we offer

• 100% remote work on B2B,
• salary range: 20,000–30,000 PLN net + VAT / month,
• 20 days off,
• onboarding with a mentor,
• training budget,
• support in cloud certifications,
• English lessons with a native speaker,
• private medical care,
• sports package,
• team integrations and company trips,
• possibility to change projects after some time,
• work with experienced engineers, not a random project team,
• long-term Big Data and Cloud projects for large organizations.

Benefits

• English lessons with a native speaker
• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• remote work opportunities
• flexible working time
• integration events

Recruitment stages

• Soft skills interview - 30 minutes
• Technical interview - 60 minutes

Discover our exemplary projects:

☁️ Petabyte-scale data platform migration to Google Cloud

● Migration of 1,000+ active pipelines to GCP.

● Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL.

● Automation with Cloud Composer.

🛒 Data analytics platform for an investing company

● Azure-based data platform with Databricks as the central component.

● Complex ETL processes enriching investment data with Spark jobs in Scala.

● External data integrations, data quality improvements and cloud resource optimization.

📈 Realtime Consumer Data Platform

● Consumer Data Platform for a major Polish retail company.

● Architecture based on GCP services such as Pub/Sub, Dataflow and BigQuery.

● Open-source components including Kafka, Airflow, Flink and Kubernetes.

DATUMO sp. z o.o.

Datumo specializes in providing Big Data and Cloud consulting services to clients from all over the world, primarily in Western Europe and the USA. Core industries we support include e-commerce, telecommunications and life science. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects.

This is how we work