Data Engineer (Senior) ID43916

AgileEngine

Lisboa

Híbrido

EUR 50 000 - 70 000

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Professional growth opportunities

Competitive USD-based compensation

Exciting projects with top-tier clients

Flexible working schedule

Resumo da oferta

A leading software development company in Lisbon is looking for a mid-senior level Data Engineer to ensure successful device launches through observability and real-time support. You will transform telemetry into insights and build monitoring systems, requiring 5–8+ years of experience in data engineering with Spark and proficiency in Python. This full-time role offers competitive compensation and flexible working options.

Qualificações

5–8+ years of experience in data engineering.
Strong SQL and Python skills are required.
Experience in observability systems is essential.

Responsabilidades

Transform raw device telemetry into actionable alerts.
Work with teams to establish device observability.
Define logging and metrics for health monitoring.
Develop automated anomaly detection for device telemetry.

Conhecimentos

Data engineering with Spark

Python proficiency

SQL skills

Streaming fundamentals understanding

Building alerting systems

Automated guardrails development

Live device rollout support

Upper-intermediate English

Descrição da oferta de emprego

Why Join Us

AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

About the Role

As a Data Engineer, you’ll play a key role in ensuring smooth and successful device launches through observability, test automation, and real‑time launch support. You’ll transform raw telemetry into actionable insights, build dashboards and anomaly detection systems, and automate data validation workflows. This role offers the opportunity to work on cutting‑edge devices, collaborate cross‑functionally, and directly impact product reliability and customer experience.

What You Will Do

Turn raw device telemetry into actionable alerts with strong observability, data quality, and launch support baked in.
Work with cross‑functional teams to establish device observability and health monitoring.
Define logging, metrics, and traces for device and pipeline health, and ship dashboards for latency, uptime, error rates, and crash signals.
Add anomaly detection over telemetry and logs and track health KPIs during launches.
Develop automated anomaly detection for logging anomalies in device telemetry.
Build dashboards to track device health and ensure all data artifacts have proper quality, integrity, and reliability.
Participate in remote or on‑site go‑lives to monitor device health and triage issues in real time using dashboards.
Collaborate with QA to ensure access to proper data and pipelines for testing and build automations as needed.
Develop tooling to simulate various on‑device scenarios for launch‑readiness.
Support on‑site testing and live device launches remotely by monitoring device health based on metrics and dashboards.
Triage issues in real time by analyzing logs and identifying failure sources to enable rapid resolution and successful launches.

MUST HAVE

5–8+ years of experience in data engineering with Spark (Structured Streaming) or similar tools in production.
Proficiency in Python and strong SQL/pandas skills.
Solid understanding of streaming fundamentals.
Experience building alerting, monitoring, or observability systems.
Experience turning manual checks into automated guardrails.
Comfortable supporting live device rollouts and post‑launch monitoring.
Upper‑intermediate English level.

Perks and Benefits

Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects: Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands.
Flextime: Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Seniority Level