We've met some great talent, but we're still looking for the right match.
If you're someone who lives for clean, accurate, and trustworthy data, this might be your sign to apply.
What You'll Do:
Audit raw and transformed data for completeness, formatting, and anomalies
Maintain data validation procedures
Build scorecards and basic reporting dashboards to monitor data health
Troubleshoot irregularities in data pipelines (Airflow, dbt, etc.)
Collaborate with Data Engineers to improve data quality
Report on data health, metrics, and improvement areas
Ensure quality dimensions are tracked: completeness, validity, freshness, accuracy, and integrity
What We're Looking For:
min 1 years experience in Data Quality/Data Engineering/Data Governance
Proficient with Python (is a must), SQL / Bigquery
Experience with tools like Airflow, dbt
Experience with cloud platforms (AWS/GCP/Azure)
Strong grasp of data lineage, quality metrics, and monitoring tools
Bonus if you know Great Expectations, YDataProfiling, or Fuzzy Matching
Nice to Have:
Understanding of data frameworks (e.g., DAMA-DMBOK, ISO 8000)
Relevant certifications (CDMP, etc.)
Experience communicating data policies and profiling results
Perks & Benefits
Hybrid work mode
Daily meals provided
Health insurance coverage
Clear career development path
A collaborative and growth-driven team culture
- many more