Senior Data Engineer

Futurae; Zürich; Hybrid; CHF 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Remote work freedom

Zurich HQ access

Annual company event

Education budget

Co-working days

Zusammenfassung

Futurae in Zürich is seeking a Data Engineer to build and scale the data backbone powering real-time security insights. The role focuses on high-throughput pipelines, robust APIs, and a reliable data lifecycle in a remote-friendly setup.

You will own data infrastructure from ingestion to storage, collaborating with ML/product teams and maintaining production-grade Python code with Ruff and Pytest. A 4+ year track record in data pipelines is required.

Qualifikationen

• Experience: minimum 4+ years building, operating, and maintaining modern data pipelines.
• Streaming: Expert-level Apache Beam and Dataflow (PySpark is a plus) or similar tools.
• GCP Data: Deep experience with BigQuery and Bigtable or similar tools.
• Python: Strong proficiency in FastAPI and asynchronous programming.
• Modern Tooling: Comfort with linting and automated testing, such as Ruff and Pytest.
• Curious & Persistent: You love digging into the \"how\" and \"why\" of complex systems.
• Proactive: You don't wait for a ticket to improve the system.
• Reliable: You take full ownership of the data lifecycle and communicate clearly in a remote setting.

Aufgaben

• Pipeline Engineering: Build and scale high-throughput streaming pipelines using Apache Beam and Dataflow.
• Storage & Ingestion: Optimize data flows into BigQuery and Bigtable for speed and reliability.
• API Ownership: Develop and maintain Python-based data APIs (FastAPI) for internal services.
• Proactive Improvement: Actively look for ways to make our data systems faster, more reliable, and easier to use.
• Technical Investigation: Dig deep into complex data anomalies to find and solve root causes.
• Collaborative Engineering: Partner with ML/Product teams to build practical, usable data schemas.
• Code Excellence: Maintain a high bar for production Python code using Poetry, Ruff, and pytest.
• Experience: 4+ years building, operating, and maintaining modern data pipelines.

Kenntnisse

Streaming pipelines

BigQuery

Bigtable

Python FastAPI

PyTest Ruff

Async programming

Data APIs

Ownership & reliability

Tools

Apache Beam/Dataflow

BigQuery tooling

PySpark

FastAPI tooling

Jobbeschreibung

As a Data Engineer at Futurae, you will build and scale the data backbone that powers our real-time security insights. This is a pivotal role for a hands-on expert who thrives on technical execution and data integrity.

In this role, you will drive the development and maintenance of our data infrastructure. You will bridge the gap between raw event data and actionable intelligence, building high-throughput pipelines and robust APIs that serve our engineering and ML teams.

Your mission is to ensure that streaming and batch data move seamlessly from ingestion to storage, providing our teams with reliable, high-quality data they can trust for critical security decisions.

Responsibilities

• Pipeline Engineering: Build and scale high-throughput streaming pipelines using Apache Beam and Dataflow.
• Storage & Ingestion: Optimize data flows into BigQuery and Bigtable for speed and reliability.
• API Ownership: Develop and maintain Python-based data APIs (FastAPI) for internal services.
• Proactive Improvement: Actively look for ways to make our data systems faster, more reliable, and easier to use.
• Technical Investigation: Dig deep into complex data anomalies to find and solve root causes.
• Collaborative Engineering: Partner with ML/Product teams to build practical, usable data schemas.
• Code Excellence: Maintain a high bar for production Python code using Poetry, Ruff, and pytest.
• Experience: 4+ years building, operating, and maintaining modern data pipelines.

Qualifications

• Experience: minimum 4+ years building, operating, and maintaining modern data pipelines.
• Streaming: Expert-level Apache Beam and Dataflow (PySpark is a plus) or similar tools.
• GCP Data: Deep experience with BigQuery and Bigtable or similar tools.
• Python: Strong proficiency in FastAPI and asynchronous programming.
• Modern Tooling: Comfort with linting and automated testing, such as Ruff and Pytest.
• Curious & Persistent: You love digging into the "how" and "why" of complex systems.
• Proactive: You don't wait for a ticket to improve the system.
• Reliable: You take full ownership of the data lifecycle and communicate clearly in a remote setting.

What to Expect

• Week 1: Onboarding and meeting the team
• Weeks 2-4: Hands-on pipeline fixes and documentation updates
• Weeks 5-10: Ownership of data pipelines: major fixes and updates
• Weeks 10-16: Contribution to key projects

We support growth in whichever direction fits you: as an individual contributor or into management.

• Work with purpose and take ownership in an international team
• Grow with a company where your ideas matter
• Freedom to work remotely or at our Zurich HQ
• Join our yearly company-wide event
• Keep learning with a yearly education budget
• Joint co-working days for remote teammates

About Futurae

At Futurae, we’re on a mission to redefine secure authentication and fraud prevention through seamless, user-friendly solutions. Based in Switzerland, we develop cutting-edge cybersecurity products that combine advanced technology with a strong focus on user-centric design.

We serve leading organizations in the financial services and insurance sectors and are actively expanding into new international markets. Our vision is to become the global leader in secure, frictionless digital authentication — helping businesses build trust and thrive in a connected world. Learn more about our solutions and team at futurae.com