Senior Data Engineer

Senior Data Engineer

Miejsce pracy: Warszawa

Technologies we use

Expected

• SQL
• Snowflake Data Cloud
• dbt
• Python
• Apache Airflow
• AWS

Optional

• Pandas

About the project

The project focuses on building a configurable multi agent platform that supports autonomous workflows, agent collaboration, tool integration, and governed execution.

The platform leverages modern agent orchestration frameworks, cloud native services, and observability solutions to deliver reliable and scalable AI capabilities across enterprise environments.

This is how we organize our work

This is how we work

• at the client's site
• you focus on a single project at a time
• you have influence on the technological solutions applied
• you focus on product development
• agile

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

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

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.)

This is how we work on a project

• documentation
• issue tracking tools
• test automation

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.

Our client is a global provider of domain registration, web hosting, and SSL certificate services. The company supports thousands of resellers and hundreds of thousands of businesses worldwide, offering reliable solutions for managing digital infrastructure.

By applying, I consent to the processing of my personal data for the purpose of conducting the recruitment process. Informujemy, że administratorem danych jest DataArt Poland Sp z o o z siedzibą w Lublinie, Ul. Zana 39 a, 20-601 Lublin (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją