Research Scientist, Kaggle
Google (10000+ pracowników)
Programowanie Frontend
Programowanie Backend
Poland
Pełny etat
Law
Doctoral degree
Java
Master's degree
C++
JavaScript
Natural language processing
AI
Python
Mobile devices
Senior Data Engineer (Fivetran, Snowflake, dbt)
DataArt
Inżynieria danych
Just Join IT
Warsaw(Poland)
Lublin(Poland)
Wrocław(Poland)
Łódź(Poland)
Kraków(Poland)
Zdalnie
Pełny etat
Senior
23,000 - 27,500 PLN / miesiąc
Snowflake
DBT
Fivetran
SQL
Git
CI/CD
Python
Technology stack
Fivetran, dbt, dbt Cloud, Snowflake, SQL, Python, Git, Apache Airflow, AWS services (MWAA, S3, IAM, Lambda, Secrets Manager, FSx), Salesforce, Marketo, REST API, SFTP, Snowpark, Snowpark Container Services, Databricks, Terraform
Project overview
This project is centered on a modern cloud data platform built with Fivetran, dbt, and Snowflake. You will help enable reliable and scalable data flows for enterprise use cases while supporting development practices such as CI/CD, code review, and controlled deployments.
Team
Medium team (10-20 people)
You will collaborate with application, infrastructure, security, analytics, and business teams. The work involves cross functional cooperation focused on onboarding new data sources, supporting production pipelines, and maintaining reliable data delivery.
Position overview
We are looking for an experienced, hands-on Data Engineer with strong expertise in Fivetran, dbt, Snowflake, and modern cloud data engineering practices. The candidate should also have experience with Python, and familiarity with AI-assisted development tools such as Claude, Cursor, or VS Code-based AI assistants.
The role will focus on building scalable ingestion and transformation pipelines, implementing data quality and orchestration patterns, and supporting enterprise data products consumed by analytics and business teams.
Responsibilities
Design end to end data pipelines using Fivetran, dbt, and Snowflake
Build and support ingestion and transformation pipelines for enterprise data products
Configure and manage Fivetran connectors across SaaS applications, databases, APIs, and file-based sources
Develop and maintain dbt models across staging, intermediate, mart, and publish layers
Implement dbt tests, source freshness checks, incremental processing, documentation, and reusable macros
Develop optimized Snowflake SQL and scalable analytical data models
Support Snowflake objects, security and RBAC, stages, data sharing, and data loading patterns
Implement data quality, reconciliation, monitoring, and operational alerting
Troubleshoot production pipelines and perform root cause analysis across ingestion and transformation layers
Participate in Git based development, CI/CD, code reviews, and DEV, QA, and PROD deployments
Collaborate with application, infrastructure, security, analytics, and business teams to onboard new data sources
Use AI-assisted development tools to support coding, troubleshooting, documentation, and code quality
Requirements
5+ years of Data Engineering or related experience
2+ years of hands-on experience with Snowflake and dbt
Production experience implementing and supporting Fivetran pipelines
Experience designing reusable ingestion and transformation patterns
Strong SQL skills including complex joins, CTEs, window functions, reconciliation, and query optimization
Experience with Git and CI/CD including branching, pull requests, code reviews, and automated deployment workflows
Working knowledge of Python for data processing, automation, API integrations, file processing, data validation, and operational scripting
Experience operating within enterprise DEV, QA, and PROD SDLC and change management processes
Strong production troubleshooting and root cause analysis skills
Comfort using Claude, Cursor, or VS Code with AI-assisted development capabilities
Nice to have
Experience with Apache Airflow or AWS MWAA for orchestration
Experience with AWS services including S3, IAM, Lambda, Secrets Manager, and FSx
Experience with Salesforce, Marketo, and other SaaS integrations
Experience with REST API and SFTP or file based ingestion
Experience with Snowflake Secure Data Sharing
Experience with Snowpark or Snowpark Container Services
Experience with Databricks
Experience with Terraform or Infrastructure as Code
Experience with data quality and observability frameworks
Experience modernizing or migrating legacy ETL or integration platforms
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
Certification reimbursement (AWS, GCP, Microsoft, etc.)