Role overview

Qualifications

2–5 years of professional Data Engineering or Software Engineering experience
Hands-on experience building and maintaining data pipelines
Solid SQL and relational database skills
Experience integrating with third-party APIs and webhooks

Responsibilities

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
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

Key facts

Remote from: Vietnam
Full time
Mid-level (2-5 years)
Data Engineer
English

Hard skills

Data Engineering SQL (Programming Language) Relational Databases Event Data Recorder Microsoft Message Queuing Data Streaming Industrial Engineering

Other skills

Communication
Collaboration
Problem Solving

About the company

Alongside

Software Development

🚀 Alongside | Build Great Products with Great Teams Alongside helps VC-backed start-ups, scale-ups and digital-first enterprises accelerate their roadmaps by assembling elite, time-zone-aligned teams of software engineers, product managers and UX/UI designers, often in under 14 days. Our Porto HQ sits in Europe’s fastest-growing tech hub and taps a vetted global talent pool that lets you ship faster, reduce burn and stay laser-focused on product-market fit. Why high-growth companies choose Alongside • Top 1 % practitioners: rigorously screened full-stack, mobile, blockchain & AI/ML engineers, plus senior designers and product leaders. • Flexible engagement models: scale a single specialist, an entire squad, or an autonomous build-and-ship pod. • End-to-end ownership: discovery → design → development → launch, with weekly velocity reports and transparent KPIs. • Cost-efficient remote talent: New York, Porto, Pune & Hanoi offices give you round-the-clock progress without Silicon-Valley price tags. • Proven track record: core Alongside team took Arkive, the world’s first decentralised museum, from idea to funded product. We helped Circuit Security to secure 4.5M in funding and many other startups.

Company details

IndustrySoftware Development

Company size11 - 50

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Alongside partners with organizations to drive digital transformation and build high-performing tech teams.
We're looking for a mid-level Data Engineer to build and maintain the data infrastructure behind a real-time facility navigation and asset-tracking platform for industrial and logistics sites. The platform ingests live positioning and telemetry data from BLE-based tracking hardware, correlates it into events (e.g., asset pickups, movement, dwell time), and transforms it into reliable, actionable data for downstream applications and analytics.

You'll be responsible for designing, building, and optimizing the data pipelines that power the platform, ensuring high data quality, scalability, and near-real-time processing. You'll work closely with other engineers on a small, fast-moving team.

What You'll Do

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 We're Looking For

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).
Experience with message queues or event streaming (e.g., Kafka, Azure Service Bus).
Background in industrial, logistics, or IoT domains.

Benefits

Remote work (Vietnam-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: 12$-16$