Cloud Data Engineer (GCP / Azure / Snowflake / BigQuery)
⚲ Warszawa, Mokotów
20 000–30 000 zł netto (+ VAT) / mies.
Wymagania
- Google Cloud Platform
- Azure
- BigQuery
- Snowflake
- Scala
- Java
- Python
- SQL
- Apache Airflow
- Apache Kafka
- Docker
- Kubernetes
Opis stanowiska
Nasze wymagania:
at least 3 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.
Mile widziane:
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.
O projekcie:
Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions.
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.
Zakres obowiązków:
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.
Oferujemy:
100% remote work
B2B
salary range: 20,000–30,000 PLN net + VAT / month
20 days off on B2B
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
at least 3 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.
Mile widziane:
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.
O projekcie:
Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions.
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.
Zakres obowiązków:
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.
Oferujemy:
100% remote work
B2B
salary range: 20,000–30,000 PLN net + VAT / month
20 days off on B2B
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
🔍 Dekoder Ogłoszenia
🟡
good communication skills
Oczekuje się, że będziesz potrafił jasno i efektywnie komunikować się z zespołem i klientami, często w języku angielskim.
🔴
experience in enterprise or long-term client projects
Może to oznaczać pracę nad dużymi, złożonymi systemami w korporacjach, gdzie procesy są często powolne i wymagają dużej dokumentacji.
🔴
practical AI solutions
Chociaż wymienione, nie ma szczegółów, co dokładnie oznacza 'praktyczne AI' w kontekście tego stanowiska, co może sugerować ograniczony zakres pracy w tym obszarze.
🟢
We focus on data.
Firma specjalizuje się w obszarze danych, co jest pozytywne dla kandydata szukającego rozwoju w tej dziedzinie, ale może oznaczać brak możliwości pracy nad innymi typami projektów IT.
🟡
designing, building and optimizing data solutions for enterprise clients
Oznacza to pracę nad istniejącymi lub nowymi, często złożonymi i rozbudowanymi systemami danych w dużych organizacjach.