Senior Data Engineer - Analytics

Responsibilities

• ▹Design data models and data services based on business requirements, working closely with data analysts
• ▹Model data as a product and structure it within the medallion-architecture data lake
• ▹Build and maintain the data analytics platform, including data ingestion and validation
• ▹Contribute to data governance initiatives, maintain the data catalogue and ensure data quality
• ▹Design and implement data solutions such as ETL pipelines, batch processing systems and data warehousing
• ▹Collaborate with the streaming and infrastructure data engineering teams, sharing knowledge and best practices

Requirements

• ▹English language proficiency (level assessed based on the role)
• ▹Sufficient experience to independently prioritize business-driven tasks

Soft skills

What we offer

• ▹25 paid vacation days wherever you're based
• ▹Competitive compensation package and company shares
• ▹Budget for a home office setup plus a monthly coworking allowance
• ▹Access to 8000 fitness spaces and 300+ wellness activities across Europe via Gymlib
• ▹Busuu access to improve your English or French
• ▹Latest Apple equipment
• ▹Remote work from anywhere in Europe (within 2 hours of CET), depending on team
• ▹Regular company events (quarterly Tech Days, annual seminar)
• ▹Additional perks for France-based employees (extra days off, meal vouchers, healthcare)

About the company

Pennylane is one of France's fastest-growing fintechs, having raised €400M (including from Sequoia) in five years. It now has 1,000+ employees from 25+ nationalities, a 4.6/5 Glassdoor rating, and is used by over 900,000 SMEs and 6,000 accounting firms in France.