Senior Big Data Engineer - Cloud, Spark & Pipelines

Datumo; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Remote work

20 days off

Mentor onboarding

Project switching

Training budget

Medicover private medical care

Medicover Sport card co-financing

English with native speaker

Company trips

Job summary

Datumo specializes in Big Data and Cloud consulting for clients worldwide, with focus in Western Europe, Poland and the USA. The team handles highly demanding projects and emphasizes best practices, testing, and CI/CD.

The work culture centers on growth, mentorship, and community. We seek senior data engineers with 3+ years of experience, strong Python and SQL, JVM languages, and hands-on exposure to Spark, BigQuery, Snowflake or Databricks.

Qualifications

• 3+ years of commercial experience in Big Data.
• Proven record with a chosen cloud provider (GCP preferred, Azure or AWS).
• Strong knowledge of Python and SQL.
• Good knowledge of JVM languages (Scala or Java or Kotlin).
• Understanding of Apache Spark or similar distributed data processing framework.
• Experience with data warehousing solutions (BigQuery, Snowflake, Databricks).
• Designing and implementing Big Data systems following best practices.
• Ensuring solution quality through automated tests, CI/CD and code review.
• Proven collaboration with businesses.
• English proficiency at min. B2 level, proficient in Polish.

Skills

Big Data

Python

SQL

JVM languages

Spark

CI/CD

Collaboration

English B2

Tools

GCP

Azure

AWS

BigQuery

Snowflake

Databricks

Airflow

Kafka

Docker

Kubernetes

Job description

Datumo specializes in Big Data and Cloud consulting for clients worldwide, with focus in Western Europe, Poland and the USA. The team handles highly demanding projects and emphasizes best practices, testing, and CI/CD.

The work culture centers on growth, mentorship, and community. We seek senior data engineers with 3+ years of experience, strong Python and SQL, JVM languages, and hands-on exposure to Spark, BigQuery, Snowflake or Databricks.