Data & Analytics Engineer

Satellite Office

Pasig

On-site

PHP 600,000 - 1,000,000

Full time

5 days ago
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Job summary

Satellite Office is seeking a data engineer to design and build robust data pipelines, optimize SQL, and develop data models that support reliable reporting and analytics.

You will own Power BI dashboards and reports, work with stakeholders to translate requirements into scalable data solutions, and apply AI tools to accelerate analytics. 3–5 years of relevant experience preferred.

Qualifications

  • 3 to 5 years relevant experience in data engineering.
  • Strong SQL skills and ability to write complex queries.
  • Experience with data modelling and reporting structures.
  • Hands-on with data pipelines/ETL processes.
  • Experience building Power BI dashboards.
  • Familiarity with version control (Git) and CI/CD.
  • AI literacy and ability to leverage AI tools.
  • Exposure to Azure / data warehousing is a plus.
  • Analytical, detail-oriented, independent problem solver.

Responsibilities

  • Design and build data pipelines and ETL processes across Hickory's systems
  • Develop and maintain data models for reliable reporting
  • Write and optimise SQL across pipelines, reporting layers, and ad hoc analysis
  • Build and maintain Power BI dashboards and reports for stakeholders
  • Apply data structures and algorithms thinking to data processes
  • Use version control and CI/CD to test and deploy code
  • Apply AI tools to accelerate data engineering and analytics work
  • Contribute to data warehouse design or architecture where relevant
  • Work with stakeholders to translate reporting needs into data solutions

Skills

SQL
Data modelling
ETL
Power BI
AI literacy
Version control
CI/CD
Analytical thinking
Communication
Self starter
Detail oriented
Independent worker

Tools

Power BI
Git
Azure
Data warehousing
SQL Server

Job description

Responsibilities
  • Design and build data pipelines and ETL processes to move and transform data reliably across Hickory's systems
  • Develop and maintain data models that support reliable, well-structured reporting and analytics
  • Write and optimise SQL across data pipelines, reporting layers, and ad hoc analysis
  • Build and maintain Power BI dashboards and reports that give stakeholders clear, accurate visibility into business performance
  • Apply data structures and algorithms thinking to design efficient, scalable data processes
  • Apply version control and CI/CD practices to data pipeline and analytics code, ensuring changes are tested and deployed safely
  • Apply AI tools and literacy to accelerate data engineering, analysis, and reporting work
  • Contribute to data warehouse design, database administration, or solution architecture where relevant
  • Work closely with stakeholders across the business to understand reporting needs and translate them into reliable data solutions
Requirements
  • 3 to 5 years relevant experience
  • Strong SQL skills, comfortable writing and optimising complex queries across large datasets
  • Solid experience with data modelling, structuring data for reliable and maintainable reporting
  • 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 - comfortable using AI-assisted tools to support data engineering and analysis
  • Exposure to Azure, data warehousing, database administration, or solution architecture is an advantage, not a requirement
  • Analytical and curious, detail-oriented, a strong problem solver who communicates well and can work independently
Good to have
  • SQL
  • Data modelling
  • Data pipelines / ETL
  • Data visualisation
  • Power BI
  • Data structures and algorithms
  • AI literacy
  • Version control and CI/CD
  • Azure
  • Data warehouse
  • Database administration
  • Programming / scripting
  • Solution architecture
Soft skills
  • Analytical and curious
  • Strong problem solver
  • Good communicator
  • Detail oriented
  • Self starter who can work independently
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