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Mid-level Data Engineer – Real-time Facility Navigation

Alongside

Remote
Freelancer Remote Mid 🇬🇧 English
SQL Azure APIs webhooks real-time data processing Kafka Azure Service Bus BLE RTLS ETL ELT

Descrição do cargo

About the role

We are seeking a mid‑level Data Engineer to design, build, and maintain the data infrastructure for a real‑time facility navigation and asset‑tracking platform used in industrial and logistics sites. The role is fully remote (Portugal‑based) and involves working on a fast‑moving, small team to ensure high‑quality, near‑real‑time data processing.

Key responsibilities

  • Build and maintain data pipelines that ingest live positioning and telemetry data from BLE tracking hardware.
  • Design data models and schemas to support real‑time event detection such as asset pickups and handoffs.
  • Implement data quality checks, monitoring, and alerting to detect pipeline failures or data drift.
  • Optimize pipelines for low‑latency processing required by the product.
  • Handle structured and semi‑structured data from hardware and third‑party API integrations.
  • Collaborate with software engineers to ensure data accessibility and reliability.
  • Support deployment, monitoring, and troubleshooting of data pipelines in production.

Required profile

  • 2‑5 years of professional experience in Data Engineering or Software Engineering.
  • Hands‑on experience building and maintaining batch or streaming ETL/ELT pipelines.
  • Strong SQL skills and familiarity with relational databases; experience with event or time‑series data is a plus.
  • Experience integrating third‑party APIs and webhooks.
  • Comfortable working with real‑time or near‑real‑time data processing requirements.
  • Experience with a major cloud platform, preferably Azure.
  • Excellent communication skills and ability to thrive in a small, cross‑functional team.

Required skills

  • SQL
  • Azure cloud services
  • APIs and webhooks integration
  • Real‑time data processing
  • Data modeling and schema design
  • ETL/ELT pipelines (batch and streaming)
  • Data quality monitoring and alerting
  • Kafka or Azure Service Bus (message queues/event streaming)
  • Geospatial and positioning data (BLE, GPS, RTLS) – nice to have

What we offer

  • Fully remote work (Portugal‑based).
  • Project duration of 19 weeks, full‑time (8 hours/day) with at least 4 hours of mandatory availability.
  • Freelance / Service Agreement with an hourly rate of €31‑33.

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