Key Facts

Remote From:

Fixed term

English

Hard Skills

Power BI Data Engineering SQL (Programming Language) Power BI Domo Data Modeling High Performance Computing Data Quality Assessment Data Transformation Semi-Structured Data +10 more

Other Skills

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Problem Reporting
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Collaboration
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Communication
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Analytical Skills
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Time Management
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Teamwork
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Detail Oriented
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Problem Solving

Roles & Responsibilities

Strong experience in Data Engineering, including ETL processes, data pipelines, and data modeling
Hands-on experience with Power BI and Domo
Proficiency in SQL and experience working with large-scale datasets
Solid understanding of data warehousing concepts and architecture

Requirements:

Design, build, and maintain scalable data pipelines to process large volumes of structured and unstructured data
Develop and manage dashboards and reports using Power BI and Domo to support business and operational insights
Transform and model complex datasets into actionable and user-friendly visualizations
Ensure high data quality, consistency, and performance across data systems

Full Scale

About Full Scale

Full Scale is a tech services company that helps businesses build teams of software engineers. Our goal is to make finding and retaining highly experienced software engineers fast, easy and affordable. As lifelong entrepreneurs and software startup founders, we tore pages out of our own playbooks in order to create a service offering that is for Founders, by Founders! Matt DeCoursey is a Kansas City-based entrepreneur, co-founder, and CEO of Full Scale, co-host of the Startup Hustle podcast; as well as the founder of Gigabook. He is the top-selling author of Million Dollar Bedroom and Balance Me as well as the co-author of The Realist’s Guide to a Successful Music Career. Matt Watson is a Kansas City-based entrepreneur, co-founder of Full Scale, co-host of the Startup Hustle podcast; as well as the founder of Stackify. After a 150-million-dollar exit from VIN Solutions Matt founded Stackify, to help developers improve application performance so they can focus on building better apps. In 2021, Stackify was acquired by Netreo, earning Matt Watson a two-time exit Founder. Hosting the Startup Hustle podcast, we spend 5 days a week talking to entrepreneurs, influencers, investors and thought leaders shaping the local Startup ecosystem whom all say they have the same problem when it comes to finding the tech talent to help grow their business. It didn’t take long to realize something had to change. With that, we created Full Scale. We take a consultative approach with clients so that you can feel confident you are choosing the right team member for your project. To learn more about what we do: fullscale.io To learn more about who we are: https://linktr.ee/startuphustle

Founded: 2018

Company size: 201 - 500

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Job description

This is a remote position.

Join one of the Philippines’ fastest-growing tech companies. Open to Philippine-based candidates only.

About Us:

Full Scale is a fully remote-first company that helps businesses build dedicated teams of skilled software engineers. We make finding and retaining experienced software talent easy and affordable.

About the role:
We are looking for a Data Engineer / BI Developer to support a Data-as-a-Service (DaaS) platform that delivers large-scale public records and data insights. This role will focus on building and optimizing data pipelines, as well as developing dashboards and reporting solutions that enable fast, accurate, and scalable data access for both internal teams and end users.

Key Responsibilities:

Design, build, and maintain scalable data pipelines to process large volumes of structured and unstructured data
Develop and manage dashboards and reports using Power BI and Domo to support business and operational insights
Transform and model complex datasets into actionable and user-friendly visualizations
Ensure high data quality, consistency, and performance across data systems
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
Optimize data workflows and reporting systems for speed and efficiency
Troubleshoot and resolve data issues on time.

Requirements

Strong experience in Data Engineering, including ETL processes, data pipelines, and data modeling
Hands-on experience with Power BI and Domo
Proficiency in SQL and experience working with large-scale datasets
Solid understanding of data warehousing concepts and architecture
Experience in handling high-volume, data-intensive environments
Strong analytical and problem-solving skills
Good communication skills and ability to work with both technical and non-technical stakeholders