Medior Data Pipeline Engineer

📋 Description

• 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