Senior Data Engineer

Our requirements

• Strong SQL and data analysis skills
• Strong hands-on experience with Snowflake
• Hands-on experience with dbt and modern ELT and data transformation practices
• Strong experience with Python and Airflow
• Solid understanding of data modeling, including dimensional modeling and fact and dimension structures
• Strong experience with AWS cloud services
• Ability to understand unfamiliar datasets and identify relationships, data quality issues, and transformation requirements
• Experience debugging and supporting existing data pipelines in production
• Comfortable working independently in a fast-paced environment and delivering tasks with limited supervision

Optional

• Experience working with both LangGraph and Strands as part of a dual framework strategy
• Knowledge of Bedrock AgentCore SDK internals and agentcore.json deployment configurations
• Experience with MCP and A2A protocol implementations
• Experience contributing to open source AI, LLM, or agent framework projects
• Experience implementing observability solutions using OpenTelemetry and AWS Distro for OpenTelemetry
• Familiarity with AWS CloudWatch, AWS X Ray, and AI workload monitoring
• Knowledge of enterprise AI platform architecture and governance practices

Your responsibilities

• Build, maintain, and enhance data pipelines and transformation workflows
• Develop and orchestrate ingestion and processing pipelines in Python and Airflow
• Develop clean, reliable, and reusable data models to serve downstream analytics and application consumers
• Work with SQL and Snowflake to investigate data, troubleshoot issues, and implement transformations
• Translate business and downstream requirements into appropriate data models and pipeline designs
• Perform data analysis, validation, reconciliation, and data quality checks
• Troubleshoot and resolve data issues across the pipeline, from source systems through ingestion and transformation to the serving layer
• Optimize Snowflake performance and cost, including query tuning, warehouse sizing, and clustering and partitioning decisions
• Take ownership of assigned tasks and independently drive them through development, testing, and completion
• Work closely with business, analytics, and engineering teams to deliver production-ready solutions

About the project

This is how we organize our work

This is how we work on a project

• documentation
• issue tracking tools
• test automation

What we offer

• Vacation days: Up to 26 business days per year
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle (bench) when not involved in a project
• Certification reimbursement (AWS, GCP, Microsoft, etc.)

Development opportunities we offer

• substantive support from technological leaders
• technical knowledge exchange within the company

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• integration events

DataArt Poland sp. z o.o.