Data Quality Engineer - ETL & SQL for Renewable Energy

Eleks

Poland

On-site

PLN 55,000 - 75,000

Full time

12 days ago

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Benefits offered by this job

Close cooperation with customer
Challenging tasks
Influence project technologies
Professional team
Dynamic environment with low burocracy

Job summary

Eleks is seeking a Data Quality Engineer to join our team. You will ensure data integrity across systems, design tests, and collaborate with a cross-functional group of engineers. The role emphasizes reliable data flows and thorough validation of data pipelines.

The ideal candidate brings 2+ years of data quality experience, strong SQL skills, and experience with ETL testing. English should be upper-intermediate, and you will work in a dynamic environment with growth opportunities.

Qualifications

  • 2+ years of experience in data quality engineering.
  • Experience with Databases/SQL and data projects.
  • Experience with ETL testing and reports.
  • Upper-intermediate level of English.

Responsibilities

  • Implement and execute tests at all planned levels, log and evaluate results and document deviations from the expected results.
  • Use tests administration, monitoring, and management tools.
  • Participate in test environment setup.
  • Prepare and acquire test data.
  • Contribute to test documentation creation/validation/update process (test cases, test plan, etc.).
  • Review, analyse and assess project requirements and specifications to convert them into quality control process artefacts.
  • Review test artefacts developed by others.
  • Communicate with other Team Members.
  • Report Test Progress to Stakeholders.

Skills

Data quality engineering
SQL & Databases
Data projects
ETL testing & reporting
English - upper-intermediate

Tools

Databricks

Job description

Eleks is seeking a Data Quality Engineer to join our team. You will ensure data integrity across systems, design tests, and collaborate with a cross-functional group of engineers. The role emphasizes reliable data flows and thorough validation of data pipelines.

The ideal candidate brings 2+ years of data quality experience, strong SQL skills, and experience with ETL testing. English should be upper-intermediate, and you will work in a dynamic environment with growth opportunities.

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