Senior Cloud Data Engineer

BTCPower Cebu Inc.; Lapu-Lapu; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

BTC Power Cebu Inc. is hiring a Senior Cloud Data Engineer to build the analytics layer of the fleet analytics platform on AWS. You will design pipelines, data models, and dashboards to provide reliable, customer-facing insights from OCPP telemetry across a DC fast charger fleet.

You will own data quality, metrics, and lineage, while collaborating with firmware, systems, and product teams to optimize cost and reliability. This role requires strong SQL, Python, and cloud data services expertise.

Qualifications

• Must have hands-on experience building production analytics pipelines on a major cloud platform.
• Strong SQL and Python for transformation, orchestration, and analysis.
• Experience with dashboards or reporting used by non-technical users.

Responsibilities

• Build and operate streaming and batch pipelines to land data in the analytics lakehouse.
• Design and maintain the analytical data model used by dashboards, reports, and APIs.
• Develop fleet analytics like failure rates, trends, degradation curves, and cohort comparisons.
• Create Fleet Analytics dashboards with per-fleet isolation for customer data.
• Translate event semantics into analytics with proper routing and attribution.
• Impose data quality, freshness, and lineage checks to prevent wrong numbers.
• Implement infrastructure as code and CI/CD for the analytics stack.
• Collaborate with firmware and systems engineers on telemetry design and cost.
• Mentor junior engineers and document data models and metrics definitions.

Skills

SQL analytics functions

Python data transformations

AWS data services

Analytics pipelines

CI/CD for data workloads

Infrastructure as code

Git version control

English communication

Education

Bachelor's degree in CS/CE/IT/Statistics

Tools

dbt

Apache Iceberg

Amazon QuickSight

Job description

Senior Cloud Data Engineer

Position Summary

We are seeking a Senior Cloud Data Engineer to build the analytics layer of BTC Power Fleet Analytics — the AWS platform that turns OCPP telemetry from our DC fast charger fleet into fault detection, fleet trend analysis, predictive maintenance, and customer-facing dashboards.

The ideal candidate combines data engineering with analytics judgment. They can build a reliable pipeline, but they also care whether the number at the end of it is the right number — and they can put it in front of a customer in a form that makes sense without a data engineer standing next to it.

Key Responsibilities

• Build and operate the streaming and batch pipelines that consume charger event topics and land them in the analytics lakehouse
• Design and maintain the analytical data model — the tables, partitions, and semantics that every dashboard, report, and API reads from
• Build fleet trend and reliability analysis: failure rates by component and firmware version, utilization and seasonality trends, degradation curves, and cohort comparisons across sites and hardware revisions
• Build and maintain the Fleet Analytics dashboards — charger status, historical trends, alert and ticket views — with per-fleet isolation so each customer sees only their own chargers
• Translate charger fault and event semantics into analytics: severity-based routing, paired open and clear events for fault duration, and component-level attribution of failures
• Build data quality, freshness, and lineage checks so a broken pipeline is caught before a customer sees a wrong number on a dashboard
• Implement infrastructure as code and CI/CD for the analytics stack, with no manual production console changes
• Partner with firmware and systems engineers on what the fleet reports and how often, since telemetry design decisions drive both analytical quality and platform cost
• Participate in design and code reviews, maintain documentation for data models and metric definitions, and mentor junior engineers on the Cebu team

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, IT, Statistics, or a related field
• 6+ years in data engineering, analytics engineering, or backend software engineering, with at least 3 years building production analytics pipelines on a major cloud platform
• Strong SQL (analytical functions, performance tuning of large aggregates) and strong Python for transformation, orchestration, and analysis
• Hands-on production experience with AWS data services — some combination of Kinesis or Kafka consumers, Lambda, S3, Glue, Athena, DynamoDB, and Redshift
• Experience building dashboards or reporting that non-technical users actually rely on, in a BI tool or a custom application
• Infrastructure as code (Terraform or AWS CDK), Git, and CI/CD for data workloads
• Clear written and spoken English and the ability to work effectively with a distributed team across time zones

Preferred Qualifications

• EV charging, IoT, telemetry, or other high-volume device data; familiarity with OCPP 1.6J / 2.0.1
• dbt or equivalent transformation tooling, including tests and documentation as part of the pipeline
• Apache Iceberg or another open table format in production
• QuickSight / Amazon Quick Suite, or embedded analytics in a customer-facing product
• Multi-tenant data isolation, row-level security, and usage metering for billable APIs

Key Skills / Competencies

• Strong technical ownership of the analytics layer end to end, with the judgment to ask whether the number is right and not only whether the pipeline ran
• Ability to translate operational domain semantics into defensible metrics
• Attention to data quality, reliability, and cost; collaborates well with firmware, systems, and product
• Clear communication of analytical findings to non-technical audiences, and the ability to mentor and support other team members