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Futurae Technologies AG

Senior Data Engineer

Futurae Technologies AG

. Build and scale high-throughput streaming pipelines using Apache Beam and Dataflow .

Posted 9/22/2026full-timeRemote • SwitzerlandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining high-throughput data pipelines using Apache Beam and Dataflow, with a strong focus on optimizing data flows into BigQuery and Bigtable. Proficient in developing Python-based data APIs with FastAPI and ensuring the reliability and quality of data for critical decision-making.

Highest-signal resume keywords
Apache BeamDataflowBigQueryFastAPIPython

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentData OptimizationAsynchronous ProgrammingAutomated TestingData Schema Design
Soft Skills
Clear CommunicationProblem Solving
Tools & Technologies
BigtablePoetryRuffPytest
Industry Keywords
Data Lifecycle ManagementStreaming DataBatch DataData Anomalies Investigation

Tech Stack

Tools & technologies
ApacheBigQueryPySparkPython

About the role

Key responsibilities & impact
  • Build and scale high-throughput streaming pipelines using Apache Beam and Dataflow
  • Optimize data flows into BigQuery and Bigtable for speed and reliability
  • Develop and maintain Python-based data APIs using FastAPI for internal services
  • Improve data systems to make them faster, more reliable, and easier to use
  • Investigate complex data anomalies and solve root causes
  • Partner with ML/Product teams to build practical, usable data schemas
  • Maintain production Python code using Poetry, Ruff, and pytest
  • Ensure streaming and batch data move seamlessly from ingestion to storage
  • Provide reliable, high-quality data for critical security decisions
  • Progress from pipeline fixes and documentation updates to ownership of major fixes, updates, and key projects

Requirements

What you’ll need
  • 4+ years building, operating, and maintaining modern data pipelines
  • Expert-level Apache Beam and Dataflow (PySpark is a plus) or similar tools
  • Deep experience with BigQuery and Bigtable or similar tools
  • Strong proficiency in FastAPI and asynchronous programming
  • Comfort with linting and automated testing, such as Ruff and Pytest
  • Production Python code using Poetry, Ruff, and pytest
  • Ability to investigate complex data anomalies and identify root causes
  • Ability to build practical, usable data schemas with ML/Product teams
  • Full ownership of the data lifecycle
  • Clear communication in a remote setting

Benefits

Comp & perks
  • 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