Requirements

Expected technologies

SQL

DWH

Snowflake

Git

BitBucket

Jira

Confluence

Microsoft Excel

Operating system

Windows

Our requirements

• 2+ year experience in data engineer role
• 2+ year experience with customer support in data related projects
• Strong analytical thinking and problem-solving skills with proactive approach
• Familiarity with below technologies to perform root cause analysis: Proven experience with SQL databases, DWH, Snowflake, core repository version control tools (Git, BitBucket), Jira, Confluence, MS Excel
• Ability to work within a global support environment: Handover to polish L2 support team at the end of local shift
• Very good communication skills (verbal and written) in Polish and English (B2) - we work with global clients

Optional

• Proven experience supporting data products from both technical and data perspectives
• Experience with ETL monitoring tools (Autosys, UC4, or equivalent)
• Service-oriented attitude, patience, thoroughness and good attention to detail
• Familiarity with data quality tools or frameworks

Your responsibilities

• Monitor daily data processing status through email alerts, scheduling tools (Autosys, UC4), or internal ETL interfaces – t0 detect anomalies or signs of potential issues and taking a proper action for resolving the issues
• Investigate processing errors by following SOPs, analyzing Unix logs, and reviewing Snowflake query history.
• Troubleshoot and recover data pipeline incidents, coordinating with development and operations teams when needed.
• Communicate delays, root causes, and progress transparently through Jira and internal channels.
• Perform data quality checks and resolve detected anomalies or escalate to the correct data owners.
• Support end users with data-related questions, incidents, or change requests, ensuring clear documentation.
• Maintain up-to-date knowledge base entries and contribute to process improvement.