Senior Data Engineer

Satispay; United States; Hybrid; USD 56,000 - 73,000; Full time

Benefits offered by this job

Health insurance

Stock options

Relocation support

Meal vouchers

Professional development

Unlimited PTO

Hybrid work policy

Language courses

Job summary

Satispay in the United States is seeking a Senior Data Engineer to shape the evolution of its data platform. You will architect, scale, and govern systems that empower Data Analysts and business teams to model and analyse data safely.

Own the Data Lakehouse with Redshift, lead dbt & CI/CD, build Airflow workflows, manage the ML feature store, and design streaming pipelines for near real‑time insights; mentor junior engineers and align with security and governance.

Qualifications

• Degree in Computer Science, Engineering, or related field with 5+ years of data platform experience.
• Strong SQL skills and practical Python/Java/Scala experience for data pipelines.
• Experience designing batch and real-time streaming architectures.
• Passion for scalable data platforms and data quality & governance.
• Familiarity with platform models enabling self-serve data analytics.
• Interest in AI-assisted development tools and LLMs integration.
• Clear communication and stakeholder management.
• Fluent in Italian and English for international collaboration.

Responsibilities

• Lead design and evolution of a modern Data Lakehouse with Redshift integration.
• Own dbt framework, CI/CD, testing for analytics engineering.
• Build and maintain orchestration layers with Apache Airflow.
• Own ML platform, feature store, data pipelines for training and inference.
• Design streaming pipelines with Flink/Spark for near-real-time analytics.
• Explore AI tooling and deploy AI agents to automate tasks.
• Oversee ingestion workflows with Fivetran and Python pipelines.
• Ensure data quality, observability, and SLA compliance.
• Mentor junior engineers and establish engineering standards.

Skills

SQL

Python

Java

Scala

Data architecture

Data governance

AI curiosity

Communication

Italian & English fluency

Education

Bachelor's degree in Computer Science or related

Tools

Apache Airflow

dbt

Fivetran

Redshift

Redshift Serverless

Spark Streaming

Apache Flink

Claude Code

ML Platform

Feature Store

Job description

About us

Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn’t stop there. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need.

What you’ll be doing

As our Senior Data Engineer, you won’t just maintain pipelines; you will shape the evolution of our next-generation data platform. You will architect, scale, and govern an ecosystem that empowers Data Analysts and business teams to autonomously model, analyse, and leverage data safely. Here’s what your day-to-day will look like:

• Data Platform Architecture & Evolution – Lead the design and implementation of our modern Data Lakehouse strategy, ensuring seamless integration with Amazon Redshift & Redshift Serverless for high-performance analytics.

• Self‑Service Enablement & Analytics Engineering – Empower Data Analysts to contribute directly to data modelling. You will own the core dbt framework, establishing best practices, CI/CD pipelines, and robust testing frameworks to make analytics engineering scalable and decentralised.

• Orchestration & Workflow Automation – Build, scale, and maintain reliable orchestration layers using Apache Airflow, optimising complex DAGs for both batch and near‑real‑time workloads.

• ML Platform Ownership & Feature Store Management – Own, architect, and scale Satispay’s Machine Learning Platform. You will manage our Feature Store, build robust data pipelines for model training and inference, and provision collaborative analytics environments to empower Data Scientists and Analysts.

• Streaming & Real‑Time Data – Design and operate streaming transformation pipelines (e.g. Apache Flink, Spark Streaming) that power near‑real‑time analytics and feed the feature store, moving the platform beyond batch.

• AI Tooling & Agentic Engineering – Drive team‑wide productivity gains by exploring, integrating, and maintaining AI‑assisted development workflows. This includes leveraging tools like Claude Code and deploying AI agents to automate data engineering tasks, optimise pipeline monitoring, and accelerate delivery.

• Ingestion & Integration – Supervise managed ingestion workflows (Fivetran) and custom Python pipelines, ensuring cost‑efficient, resilient, and reliable data flow across systems.

• Performance, Cost & Reliability – Design for performance and cost across the entire platform – ingestion streams, transformations, feature store, and Redshift Serverless. Own data quality, observability, and the SLAs your consumers depend on.

• Data Governance, Security & Compliance – Design robust data security, access control, and privacy measures across all data assets to ensure strict compliance with financial regulations while maintaining trust.

• Mentorship & Tech Leadership – Act as a technical mentor for junior/mid‑level engineers, champion documentation, and establish engineering standards that elevate the entire team’s capabilities.

Who we’re looking for

We need a problem‑solver who loves teamwork and gets things done. If you’re curious and ready for real ownership, you’ll fit in! Does this sound like you?

• Relevant education and technical background – You have a degree in Computer Science, Engineering, or a related field, backed by 5+ years of hands‑on experience designing, scaling, and maintaining complex enterprise data platform architectures.

• Programming Expertise – You are highly skilled in SQL for data manipulation and analysis and have practical experience with at least one of the following: Python, Java, or Scala for building robust data pipelines.

• Architectural Knowledge – You are familiar with both batch and real‑time streaming data architectures and understand the principles behind designing scalable and resilient data systems.

• Data‑Oriented Mindset – You have a strong passion for deeply understanding data, its meaning, the critical importance of preparing it correctly, and the methodologies for ensuring its quality and unwavering consistency.

• Platform & Mesh Mindset – You understand how to transition from centralised data delivery to a platform model, designing tools and guardrails that allow Data Analysts to safely self‑serve and own their data models.

• Forward‑Thinking & AI Curious – You are excited about the intersection of data engineering and AI, with an interest in LLMs, and integrating AI coding assistants (like Claude Code) into the development lifecycle.

• Structured communication and stakeholder management – You communicate clearly and persuasively, adapting your approach to build trust and engage effectively with diverse stakeholders across technical and business teams.

• Language proficiency – You are fluent in both Italian and English, enabling seamless communication within our international team and with stakeholders.

• Passion for FinTech or Startup environments – You are genuinely passionate about the fast‑paced and innovative FinTech or startup ecosystem and are eager to contribute to our mission.

CareAbout: how we support your impact

• Health – Private insurance for you and your family, psychological support with Serenis, mental health workshops.
• Financial resources – Stock Option Plan, Meal vouchers, Relocation support if you’re moving countries.
• Growth and development – Professional development programs, Internal mobility, Language courses with Preply.
• Flexibility – Unlimited PTO, Hybrid working policy*, Flexible working hours.
• Family – Enhanced parental leave, Additional leave for child sickness.

*We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.

Salary: €51,000 - €66,500 gross per annum.

This range is set using objective, gender‑neutral criteria for the role’s core requirements. However we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value.

Equal opportunity employer

At Satispay, we’re proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs!