Data Analytics Engineer

Satellite Office

. Design and build data pipelines and ETL processes across Hickory's systems .

Posted 11/9/2026full-timeRemote • PhilippinesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building data pipelines and ETL processes, along with strong SQL skills for data manipulation and reporting. Proficient in developing data models and visualizations using Power BI, while applying version control and CI/CD practices in data engineering.

Highest-signal resume keywords

SQL OptimizationData Pipeline DevelopmentPower BI Dashboard CreationVersion Control (Git)Data Modelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLETL ProcessesData ModellingData StructuresAlgorithms

Soft Skills

AnalyticalDetail-OrientedProblem SolverGood Communication

Tools & Technologies

Power BIAI ToolsCI/CD PracticesAzure

Industry Keywords

Data WarehouseDatabase AdministrationSolution Architecture

Tech Stack

Tools & technologies

AzureETLSQL

About the role

Key responsibilities & impact

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 and analytics code
Use AI tools to accelerate data engineering, analysis, and reporting
Contribute to data warehouse design, database administration, or solution architecture
Collaborate with business stakeholders to understand reporting needs and deliver reliable data solutions

Requirements

What you’ll need

3 to 5 years relevant experience
Strong SQL skills, including writing and optimising complex queries across large datasets
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, such as 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 advantageous but not required

Benefits

Comp & perks

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