Managing and migrating ETL pipelines between various source systems
Validating pipeline build success and output data quality
Communicating with business stakeholders and SMEs regarding data domains
Analysing and resolving blockers/issues with ETL pipelines and data discrepancies
Work with team to keep best practices up to date
Supporting data migration across systems and platforms

🎯 Requirements

2–3 years in data/ETL, data migration or similar
2-3 years of hands-on SQL knowledge
At least 1-2 years of Python experience
Proven Pandas and/or pySpark experience
Hands-on with AI chat and coding tools
Advanced Excel skills

🎁 Benefits

Diverse projects with learning opportunities
Empowerment and trusted autonomy
Flexible working style to suit you
Balanced life and mentoring from day one
Learning and development opportunities
Supportive corporate culture

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