Data Engineer

Alongside

Mid-level Data Engineer at Alongside building data infrastructure for real-time asset-tracking platform. Collaborating with a fast-moving team to optimize data pipelines and ensure data quality.

Posted 7/20/2026full-timeRemote • 🇵🇹 PortugalJuniorMid-Level💰 €31 - €33 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines for real-time processing, with strong skills in SQL and cloud platforms, particularly Azure. Capable of collaborating effectively in cross-functional teams while ensuring data quality and accessibility.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyReal-Time Data ProcessingCloud Platform ExperienceAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETL-ELT ProcessesData Quality ChecksData ModelingTelemetry Data HandlingEvent DetectionStructured Data ManagementSemi-Structured Data ManagementTime-Series DataGeospatial Data Experience

Soft Skills

Strong Communication SkillsTeam CollaborationProblem-Solving

Tools & Technologies

AzureKafkaAzure Service BusWebhooksMessage Queues

Industry Keywords

LogisticsIoTIndustrial Data

Tech Stack

Tools & technologies

AzureCloudETLIoTKafkaSQL

About the role

Key responsibilities & impact

Build and maintain data pipelines that ingest real-time positioning and telemetry data from tracking hardware.
Design data models and schemas that support real-time event detection (e.g., correlating two tracked objects' positions to infer a pickup or handoff event).
Implement data quality checks, monitoring, and alerting to catch pipeline failures or data drift early.
Optimize pipelines for near-real-time processing at the latency the product requires.
Work with structured and semi-structured data coming from external hardware and API integrations.
Collaborate with software engineers to ensure data is accessible, reliable, and supports platform features.
Support deployment, monitoring, and troubleshooting of data pipelines in production.

Requirements

What you’ll need

2–5 years of professional Data Engineering or Software Engineering experience.
Hands-on experience building and maintaining data pipelines (batch or streaming/ETL-ELT).
Solid SQL and relational database skills; comfort with event or time-series data is a plus.
Experience integrating with third-party APIs and webhooks.
Comfortable working with real-time or near-real-time data processing requirements.
Experience with a major cloud platform (Azure preferred).
Strong communication skills and comfort working in a small, cross-functional, fast-moving team.
Nice to Have: Experience with geospatial or positioning data (GPS, BLE, RTLS).
Nice to Have: Experience with message queues or event streaming (e.g., Kafka, Azure Service Bus).
Nice to Have: Background in industrial, logistics, or IoT domains.

Benefits

Comp & perks

Remote work (Portugal-based)
Estimated project duration: 19 weeks
Full-time schedule: 8 hours per day, with mandatory availability for at least 4 hours
Freelance / Service Agreement
Hourly Rate: 31€-33€