Remote Senior Data Engineer - Data Platform 🇪🇺 (Remote)

Description:

• The Senior Data Engineer will play a pivotal role in large projects, utilizing data architecture and engineering expertise to meet high delivery standards.
• The position is remote and available in various European locations including Paris, Madrid, Lisbon, Belgium, Amsterdam, Greece, Germany, Poland, Croatia, and France.
• The role involves designing the data platform, including data ingestion, validation, transport, storage, and exposure to consumers.
• Collaboration with other data engineering teams is essential to deliver analytics services, share technical knowledge, and define best practices.
• The Senior Data Engineer will work closely with machine learning engineers to design and scale automation and intelligence features within the Pennylane application.
• The position requires partnership with software engineers to ensure data quality and integrity, establishing data as a core part of production systems.
• The role includes driving optimizations on core components to balance scalability and costs effectively.
• The Senior Data Engineer will help shape an engineering culture with high standards by defining best practices, architecture patterns, and security measures.
• The onboarding process includes learning about the company, teams, and vision, familiarizing with the technical stack, and delivering small projects within the first month.
• By three months, the engineer will autonomously define and prioritize tasks and contribute to larger cross-team projects.
• By six months, the engineer will actively define the team’s roadmap and drive best practices within the team.

Requirements:

• Candidates must have a strong background in data engineering and architecture.
• Proficiency in AWS services, infrastructure as code, batch processing, scheduling, and data warehousing is required.
• Experience in collaborating with cross-functional teams, including software engineers and machine learning engineers, is essential.
• The ability to establish data quality and integrity in production systems is necessary.
• Candidates should be comfortable with defining best practices and security measures in data engineering.
• Strong problem-solving skills and the ability to optimize core components for scalability and cost-effectiveness are required.
• A proactive approach to learning and adapting to new technologies and processes is expected.

Benefits:

• Employees will receive comprehensive healthcare coverage through Alan Blue for themselves and their families.
• Lunch credits are provided via a Swile card to purchase meals daily.
• The option to work from the Paris office or any WeWork location in Europe is available.
• Remote employees will receive a budget to enhance their home workspace and a monthly allowance for coworking spaces.
• An additional 10 days off are provided each year, on top of the standard 25 days.
• Access to 8000 fitness spaces and over 300 wellness activities through the partner Gymlib is included.
• Employees can use Busuu to improve their English or learn a new language of their choice.
• The latest Apple equipment will be provided for work purposes.
• A vibrant social community is fostered, with opportunities for sports, social gatherings, and company seminars.