Remote Senior Data Engineer — Real-Time Pipelines

Futurae Technologies AG; Zürich; Hybrid; CHF 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Remote work option

Zurich HQ access

Yearly education budget

Annual company-wide event

Co-working days for remote teammates

Ownership of data pipelines

Zusammenfassung

Futurae Technologies AG in Zürich seeks a hands-on Data Engineer to build and scale the data backbone powering real-time security insights. You will develop high-throughput pipelines and Python APIs, ensuring data integrity for engineering and ML teams.

You will work with Apache Beam on Dataflow, BigQuery and Bigtable, maintain tests with Ruff and Pytest, and own the data lifecycle in a fast-paced, remote-friendly environment.

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

Apache Beam

Dataflow

BigQuery

Bigtable

Python

FastAPI

Ruff

Pytest

Tools

PySpark

Jobbeschreibung

Futurae Technologies AG in Zürich seeks a hands-on Data Engineer to build and scale the data backbone powering real-time security insights. You will develop high-throughput pipelines and Python APIs, ensuring data integrity for engineering and ML teams.

You will work with Apache Beam on Dataflow, BigQuery and Bigtable, maintain tests with Ruff and Pytest, and own the data lifecycle in a fast-paced, remote-friendly environment.