Data & Analytics Engineer

🔥 1 hour ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Satellite Office

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

📦 Logistics

📣 Marketing

✈️ Travel

Logistics • Marketing • Travel

Satellite Office is a Philippines-based employer and workspace services company that connects Filipino professionals with global clients. It offers premium, technologically equipped office locations across Metro Manila and Cebu and places employees in roles supporting major international brands. The company emphasizes employee engagement, continuous learning and development, competitive compensation and benefits, and a people-focused culture recognized by Great Place to Work®.

📋 Description

• Design and build data pipelines and ETL processes across Hickory's systems • Develop and maintain data models for reporting and analytics • Write and optimise SQL for pipelines, reporting layers, and ad hoc analysis • Build and maintain Power BI dashboards and reports • Design efficient and scalable data processes using data structures and algorithms • Apply version control and CI/CD practices to data pipeline and analytics code • Use AI tools to accelerate data engineering, analysis, and reporting • Contribute to data warehouse design, database administration, or solution architecture where relevant • Collaborate with stakeholders to understand reporting needs and translate them into reliable data solutions

🎯 Requirements

• 3 to 5 years relevant experience • Strong SQL skills, including writing and optimising complex queries across large datasets • Solid experience with data modelling • Hands-on experience building data pipelines and ETL processes • Experience building data visualisations and dashboards, ideally in Power BI • Good grounding in data structures and algorithms • Practical experience with version control (e.g. Git) and CI/CD pipelines • Working AI literacy and comfort using AI-assisted tools • Analytical, curious, detail-oriented, and a strong problem solver • Good communication skills • Ability to work independently • Exposure to Azure, data warehousing, database administration, or solution architecture is an advantage, not a requirement

🏖️ Benefits

• Learning opportunities, mentoring, and support • Team-building events • Company-wide celebrations • Wellness programs • World-class office spaces • Opportunities to work with global brands and international client teams • Continuous learning and development • Engaging employee programs