Senior Data Engineer

About the Position

We are seeking a Senior Data Engineer with hands-on experience in Databricks, Snowflake, and either AWS or Azure to join our team. In this role, you will own the full lifecycle of our data warehouse, from ETL and ELT pipeline design and dimensional modeling to performance tuning and infrastructure optimization. You will work with modern data platforms to transform raw data into reliable, scalable, and actionable insights that support business decision making.

Responsibilities

• Develop, operate, optimize, test, and maintain the data warehouse, including ETL/ELT process development, cube development, database/performance administration, and dimensional table design
• Drive the full life-cycle of back-end development for the data warehouse
• Identify, design, and implement internal process improvements - redesigning infrastructure for scalability, optimizing data delivery, and automating manual processes
• Define data retention policies
• Build analytical tools that leverage the data pipeline to deliver actionable insight into key business metrics (operational efficiency, customer acquisition, etc.)
• Select and integrate tools for monitoring, managing, alerting on, and improving database performance
• Develop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilities
• Assemble large, complex datasets that meet functional and non-functional business requirements

Requirements

• 5+ years of experience or 5+ completed projects
• Advanced SQL and query optimization, with proficiency across popular database variations
• Python for data engineering and automation
• Cloud data platforms: Snowflake and/or Databricks
• Cloud services: AWS and/or Azure
• Data transformation and modeling with DBT
• ETL/ELT pipeline design, development, and maintenance
• Apache Spark (PySpark preferred)
• Workflow orchestration using Apache Airflow, Dagster, or another widely adopted orchestrator
• Relational database design and performance tuning (PostgreSQL, MySQL, SQL Server, Oracle, etc.)
• Data warehousing concepts and dimensional modeling
• Data management fundamentals: data modeling, data quality, metadata management, data warehouse/lake patterns, distributed systems
• Version control using Git and CI/CD practices
• Data governance, data quality, lineage, and observability practices
• Security and access control implementation in cloud data platforms

Nice to Have

• Apache Kafka, Apache Flink, Apache Beam
• Terraform, Kubernetes, Docker
• Apache Iceberg, Delta Lake, or Apache Hudi
• Real-time and event-driven architectures
• AWS Glue, Amazon MWAA, Azure Data Factory
• Data Mesh and Data Product concepts
• Machine learning data pipelines, feature stores, or AI development experience
• Streaming analytics and Change Data Capture (CDC) solutions (e.g., Debezium)

We Offer

• Vacation as per the laws of your country
• Health insurance
• Sick pay (10 days without a doctor's note, afterwards - as per the laws of your country)
• Time off for state holidays
• Pleasant work environment with corporate parties and get-togethers
• Comfort service for solving technical and everyday problems at work

About the Company

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries - including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

At DataArt, we put people first-fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive.

Locations

• Belgrade, Serbia
• Cluj-Napoca, Romania
• Krakow, Poland