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VELUX

Junior Data Engineer

VELUX

. Monitor data pipelines, investigate failed runs and failing tests, and correct defects .

Posted 11/6/2026full-timeWarsaw • PolandJuniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in SQL and Python for data manipulation and analysis, with hands-on experience in building and maintaining data pipelines using tools like Prefect and Snowflake. Strong ability to investigate data issues, implement fixes, and ensure data reliability in a collaborative environment.

Highest-signal resume keywords
SQLPythonSnowflakePrefectDbt

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline MonitoringData Model TestingRoot Cause AnalysisData BackfillingData Reprocessing
Soft Skills
CollaborationDocumentationCode Review
Tools & Technologies
GitAI-Powered Coding Environments
Industry Keywords
Data TransformationCloud Data WarehouseData Orchestration

Tech Stack

Tools & technologies
CloudPythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Monitor data pipelines, investigate failed runs and failing tests, and correct defects
  • Run backfills and reprocessing when source data arrives late or changes
  • Find and remove root causes of repeat failures
  • Build new source connections in Prefect, including databases, APIs and external data providers
  • Build staging models in Snowflake with dbt on connected sources
  • Add tests, documentation and freshness checks to data models
  • Review colleagues’ pull requests and documentation
  • Take ownership of a workstream in the 2027 roadmap with support from a senior colleague
  • Help ensure data pipelines run reliably and bring new data sources into the platform
  • Investigate issues, identify root causes and implement fixes

Requirements

What you’ll need
  • Good working knowledge of SQL and Python
  • Hands-on experience working with real-world data in a professional environment, through an internship, a first job or a project involving real production data
  • Full professional proficiency in English, both spoken and written
  • Some experience with a cloud data warehouse, such as Snowflake or an equivalent platform, would be an advantage
  • Familiarity with dbt or another data transformation tool would be an advantage
  • Some experience with a data orchestration tool, such as Prefect, would be an advantage
  • Experience working with Git, pull requests and code reviews in a team environment would be an advantage
  • Familiarity with AI-powered coding environments, such as Claude Code or Codex, would be an advantage

Benefits

Comp & perks
  • Annual bonus
  • Employee Pension Scheme, paid in full by the employer
  • Well-being package: Multisport card or holiday subsidy, life insurance, lunch card and gift cards
  • Private medical care, with telemedicine and rehabilitation
  • Support from the Employee Foundation
  • Hybrid work 3 days in the office
  • Flexible working hours
  • Modern office with daylight, fresh air and high-quality equipment
  • Parking spaces for employees
  • Massages in the office
  • Referral programme
  • Employee discount on VELUX products