Data Engineer with Fivetran, Snowflake and dbt

Technologies we use

Expected

• Figma

Optional

• Python
• SQL
• Figma
• Git
• Apache Airflow
• AWS
• Snowflake Data Cloud
• Databricks
• Terraform

About the project

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.

This is how we organize our work

Team size

10-20

This is how we work

• you focus on a single project at a time
• you can change the project
• you have influence on the technological solutions applied
• you develop the code "from scratch"
• you focus on product development
• you focus on code maintenance
• agile

Team members

• backend developer
• data scientist

Your 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

Our 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

Optional

• 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.)

This is how we work on a project

• code review
• Continuous Integration
• documentation
• integration tests
• test automation
• unit tests

Development opportunities we offer

• substantive support from technological leaders
• technical knowledge exchange within the company
• time for development of your ideas

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• corporate products and services at discounted prices
• integration events
• coffee / tea
• drinks
• employee referral program
• extra leave

DataArt Poland sp. z o.o.

Our client is a leading global wealth and asset management organization focused on delivering innovative investment solutions and providing access to a broad international ecosystem of opportunities.