(F / M) Data Engineer (Snowflake, ETL, BI) - Full remote (F/M)

O projekcie: Position We are currently looking for a candidate for the position of (F/M) Data Engineer (Snowflake, ETL, BI) for our client from the biotechnology industry. Offered salary Salary: from 800 to 1000 PLN net/day, depending on experience and competences. What We Offer - Long-term collaboration - Technical training, certifications, and skills development - Competence Center mentoring - being a member of the Competence Center community from day one is an opportunity to develop your skills, participate in various conferences, and share knowledge and experience with people who face the same challenges every day - Clear career path - Employee benefits package (Multisport, private healthcare, life insurance) - Friendly working atmosphere, team-building events, and team-building meetings Wymagania: You’re ideal for this role if you: - Have experience working in a regulated (GxP) environment. - Have strong SQL skills and solid understanding of data warehousing and data modeling concepts. - Have hands-on experience with Snowflake (or Databricks) and ETL tools (Alteryx preferred; DBT is a plus). - Are familiar with Git (GitLab/GitHub) and basic CI/CD practices. - Have experience with Tableau (or are willing to learn). - Communicate fluently in English. - Can work independently, prioritize tasks, and provide realistic effort estimates. Nice to have: - Experience in ITIL / SLA-driven environments or incident response. - Familiarity with data governance and data quality tools (e.g., Collibra, Monte Carlo, Immuta). - Experience with Change Data Capture (CDC) and streaming architectures. Codzienne zadania: - Resolving and documenting minor bugs with full traceability and compliance (Jira, ServiceNow). - Optimizing Snowflake and Alteryx data pipelines by reducing technical debt and improving performance. - Migrating ETL workflows from Alteryx to Snowflake (SQL / PySpark), including job scheduling and logic redesign. - Converting batch-based ETL processes into Change Data Capture (CDC) / streaming solutions. - Maintaining and enhancing dashboards to ensure performance, stability, and business readability. - Implementing automated regression tests and supporting CI/CD pipelines to ensure reliable deployments.