Data Software Engineer
PLN 184,000 – PLN 276,000 / yr base salary
Posted 1 May 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
Compensation
| Base salary | PLN 184,000 – PLN 276,000 / yr |
|---|
Role speciality
Data ArchitectureData EngineeringData PipelinesMLOps
Useful technologies
AirflowAmazon AuroraAmazon RDSApache DruidApache IcebergApache SparkAWSAWS S3dbtDockerKubernetesLookerMySQLPostgreSQLPythonSnowflakeTerraform
What your day could consist of:
- Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem
- Execute Data Modeling and Schema Design, utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability
- Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability.
- Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments
- Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency.
- Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions
Technical environment:
- Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL
- ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker
- Data Processing and Transformation: Apache Spark, DBT
- Languages: Python (primary)
- Infrastructure as Code: Terraform
- Containerization and Orchestration: Kubernetes, Docker, Airflow
The Ideal Candidate Will Bring:
- 4+ years of professional software engineering experience, with a proven track record of building and maintaining production-grade data systems.
- Deep Data Architecture expertise, with the ability to design modern data stack components and schemas that balance immediate performance with future growth.
- Proficiency in Infrastructure as Code, specifically using Terraform to manage and deploy your own infrastructure.
- A high level of software rigor, including a strong background in automated testing, CI/CD, and general software engineering best practices
- Expert-level SQL skills (particularly MySQL), with a focus on optimizing complex queries for maximum performance.
- Experience in a modern technical environment, ideally having worked with Python, AWS (S3, Aurora, RDS), Snowflake, Apache Spark, and DBT