Senior Data Engineer

Senior Data Engineer at satispay

About the role Satispay is on a mission to create a versatile financial platform that streamlines payments, savings, and investment processes for a user base of 6 million individuals. We are in search of a Senior Data Engineer who will be pivotal in designing our advanced data ecosystem and spearheading the shift towards a self-service platform model. This role is integral to enhancing our data capabilities and ensuring that our engineering practices align with our ambitious growth objectives.

Key facts
Location: Milan, Italy
Engagement: Full-time
Compensation: €51,000 - €66,500 gross annually
Team: Tech & Product

What you will do

• Develop and execute a state-of-the-art Data Lakehouse strategy utilizing Amazon Redshift and Redshift Serverless to optimize data storage and retrieval.
• Oversee the core dbt framework to facilitate decentralized analytics engineering, ensuring robust CI/CD processes and thorough testing protocols.
• Coordinate intricate batch and near-real-time workflows through Apache Airflow, enhancing the efficiency of data processing operations.
• Design and expand the Machine Learning platform, focusing on feature store management and the establishment of model training pipelines.
• Manage streaming transformation pipelines using technologies such as Apache Flink or Spark Streaming to support real-time data processing needs.
• Incorporate AI-assisted development workflows, including tools like Claude Code, to streamline engineering tasks and improve monitoring capabilities.
• Supervise managed data ingestion processes via Fivetran and custom-built Python pipelines to ensure seamless data flow.
• Maintain high standards for platform performance, cost-effectiveness, data integrity, and reliability across all data assets.
• Establish data security protocols, access controls, and privacy measures to comply with financial regulations and standards.
• Provide mentorship to junior and mid-level engineers, while also creating and maintaining technical documentation and best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related discipline.
• A minimum of 5 years of experience in the design and scaling of complex enterprise data architectures.
• Strong command of SQL and proficiency in at least one programming language such as Python, Java, or Scala.
• Demonstrated experience with both batch processing and real-time streaming data architectures.
• Capability to design platforms that promote safe, self-service data modeling for analysts and other stakeholders.
• A keen interest in large language models (LLMs) and the integration of AI coding assistants within the development lifecycle.
• Excellent communication skills, enabling effective collaboration with stakeholders across both technical and business sectors.
• Proficiency in both Italian and English is essential for this role.

Nice to have

• Experience with cloud-based data solutions and architectures.
• Familiarity with data governance frameworks and best practices.
• Knowledge of additional programming languages or data processing tools.
• Previous experience in the financial technology sector.
• Understanding of data privacy laws and regulations relevant to financial services.

Skills & tools

• Amazon Redshift, Redshift Serverless
• dbt, Apache Airflow
• Apache Flink, Spark Streaming
• Fivetran, Python, Java, Scala
• Claude Code (AI tooling)

Practical notes

• We offer a hybrid work model, requiring three days in the office each week (Tuesday, Thursday, and one flexible day).
• Our benefits package includes private health insurance for you and your family, access to Serenis psychological support, and mental health workshops.
• Financial incentives include a Stock Option Plan, meal vouchers, and assistance with relocation.
• Opportunities for professional development are abundant, with internal mobility options, tailored development programs, and Preply language courses available.
• We provide flexibility with unlimited paid time off (PTO), adaptable working hours, enhanced parental leave, and provisions for child sickness leave.

Satispay is committed to fostering a diverse and inclusive workplace and is proud to be an equal opportunity employer.