Data & Analytics Engineer

Satellite Office Pasig, Metro Manila, Philippines

Outsourcing and Offshoring Consulting · 1,001-5,000 employees

4 h ago

Remote Mid (2-5 yrs) Full-time Philippines

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About the role

Design and build reliable data pipelines and ETL processes while developing data models to support analytics. Create and maintain Power BI dashboards to provide stakeholders with clear visibility into business performance.

What they look for

SQL Data modelling ETL Data pipelines Power BI Data visualization Data structures Algorithms AI literacy Version control CI/CD Azure Data warehousing Database administration Solution architecture Problem solving

Requirements

Requires 3 to 5 years of relevant experience with strong SQL skills and hands-on experience in data modelling and pipeline development. Candidates should be proficient in version control, CI/CD practices, and possess working AI literacy.

Full 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

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