Data Engineer at Futurae

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

14 May, 26

Salary

0.0

Posted On

13 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Beam, Dataflow, BigQuery, Bigtable, FastAPI, Python, Poetry, Ruff, Pytest, Streaming, Data Pipelines, API Development, Asynchronous Programming, Data Integrity, High-throughput

Industry

IT Services and IT Consulting

Description

As a Data Engineer at Futurae, you will be the architect of our data backbone, designing and scaling the systems that power our real-time security insights. This is a pivotal role for a hands-on expert who thrives on technical excellence and data integrity. In this role, you will lead the end-to-end development 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: Design 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 Design: 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 in design, building, and operations of modern data pipelines. Qualifications 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. 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

Responsibilities

The Data Engineer will be responsible for designing and scaling the data infrastructure, leading end-to-end development of high-throughput pipelines and robust APIs that serve engineering and ML teams. This includes ensuring seamless movement of streaming and batch data from ingestion to storage for critical security decisions.