Data Engineer | remote, dayshift

Satellite Office; Pasig; Remote; PHP 600,000 - 1,000,000; Full time

Job summary

Hickory is seeking a Data and Analytics Engineer to design and deploy robust data pipelines and analytics solutions. You will build data models, optimize SQL, and create dashboards in Power BI for business visibility.

The role requires experience with ETL, data warehousing concepts, and collaborating with stakeholders to deliver reliable data insights. Remote setup with morning shift support.

Qualifications

• 3–5 years of relevant experience.
• Strong SQL skills and ability to optimize complex queries.
• Solid data modeling and structured data for reporting.
• Hands-on experience building data pipelines and ETL processes.
• Experience building data visualizations and dashboards (Power BI).
• Good grounding in data structures and algorithms.
• Practical experience with version control (Git) and CI/CD pipelines.
• Working with AI-assisted tools to support data engineering and analysis.
• Exposure to Azure, data warehousing, or solution architecture is advantageous.
• Analytical, curious, detail-oriented, and capable of independent work.

Responsibilities

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

Skills

SQL

Data modeling

ETL pipelines

Power BI

Git & CI/CD

AI literacy

Analytical thinking

Independent work

Azure

Data warehousing

Tools

Power BI

Azure

Git

Job description

Data and Analytics Engineer

Work for our global clients and immerse in our rich and diverse company culture where you can thrive, grow and just be aweSOme!

Work setup: remote

Shift schedule: Morning (6:00am - 3:00pm)

What is a Data and Analytics Engineer?

Our awesome client, a leading property and construction company based in Australia is looking for a Data and Analytics Engineer to be part of their team.

What will be your main 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

What are we looking for?

• 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