Senior Data Platform Engineer
Share
Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Lakehouse Engineering Cloud-Native Data Platforms
-
Location: Remote (Poland-based)
-
Job Type: Full-time Senior
- Compensation: PLN 208000 PLN 312000 bonus long-term incentives
-
Our Client: Enterprise SaaS Data Platform Environment
Work Authorization
- Must reside in Poland
- Must have the legal right to work in Poland
- Visa sponsorship not available
About the Opportunity
Our client is building a modern cloud-native lakehouse platform to power advanced analytics at enterprise scale. This role focuses on designing and maintaining distributed data systems using Spark Delta Lake and Iceberg to enable reliable secure and high-performance analytics workflows.
You will combine strong software engineering principles with deep data expertise to deliver scalable and future-ready data infrastructure.
What Youll Do
-
Design and implement scalable Spark-based data pipelines
-
Build and maintain lakehouse capabilities with Delta Lake and Iceberg
- Apply CI/CD automated testing and infrastructure-as-code best practices
-
Integrate dbt for SQL transformations on distributed compute engines
-
Optimize performance and cost across Databricks and Snowflake
-
Implement governance lineage and compliance controls
-
Enable self-service analytics through curated analytics-ready datasets
-
Contribute to observability and reliability of data platforms
-
Participate in team on-call rotations
Tech Environment
-
Python and SQL
-
Apache Spark
-
Delta Lake and/or Apache Iceberg
-
dbt
-
Databricks and Snowflake
-
Kubernetes and Docker
-
CI/CD and Infrastructure-as-Code
What Were Looking For
-
Strong Python and SQL programming skills
-
Hands-on Spark experience in production environments
-
Expertise in Delta Lake and/or Apache Iceberg
-
Experience building scalable cloud-native data platforms
-
Familiarity with dbt for analytics modeling
-
Experience with Databricks and/or Snowflake
-
Understanding of data governance lineage and compliance
-
Solid software engineering fundamentals
Nice to Have
-
Java Scala or Rust experience
-
Exposure to event-driven architectures
-
Experience supporting self-service analytics
-
Performance tuning and cost optimization expertise
-
Observability and data quality framework experience
Why This Role Stands Out
-
Strategic investment in modern lakehouse technology
-
Enterprise-scale data environment
-
Strong focus on governance and advanced analytics
-
Remote flexibility within Poland
-
Competitive compensation and long-term incentives
If you enjoy building scalable Spark-based platforms that power advanced analytics at enterprise scale wed love to meet you...
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
