Data Engineer (12-month period)

Satellite Office partners with some of the world’s leading brands to build high-performing offshore teams based in the Philippines. Our people work directly with international clients in roles that are meaningful, challenging, and rewarding. Whether you’re in customer service, IT, digital marketing, finance, or creative design, you’ll be empowered to do your best work, and build a career you can be proud of.

At Satellite Office, we’re committed to creating a workplace unlike any other, fostering growth through engaging employee programs, continuous learning and development, team-building experiences, company-wide celebrations, and world-class office spaces.

Why You'll Love Working Here :

🌟 You’re Valued.

You won’t just be a number. You’ll be part of a close-knit, collaborative team where your contributions matter.

🚀 You’ll Grow.

From day one, you’ll have access to learning opportunities, mentoring, and support to help you reach your full potential.

🎉 You’ll Belong.

We’re proud of our vibrant and inclusive culture, filled with team-building events, company-wide celebrations, wellness programs, and more.

🏢 You’ll Work in Style.

Our world-class offices are located in premium business hubs like BGC and Ortigas. Modern, comfortable, and designed to bring out your best.

💼 You’ll Work with Global Brands.

We match you with top international clients where you’ll work directly with their teams and make a real impact.

Whether you’re starting a new chapter or growing in your profession, Satellite Office is where you’ll find more than just a job. You’ll find a career you can be proud of.

We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable, high-performance data solutions on the Microsoft Azure platform.

The ideal candidate will be highly proficient in SQL, Power BI, and data modeling concepts (including fact and dimension tables, star and snowflake schemas) and will play a key role in enabling enterprise-wide data accessibility and insights.

The Data Engineer will build and maintain our Analytics assets in Azure Synapse Analytics lakehouses and SQL database using expert knowledge of T-SQL, data pipelines, data flows, and pyspark notebooks.

They will have secondary role working in Power BI to develop reports and dashboards for the business.

In this role, the successful candidate should be able to write and support functional queries with a sharp eye for spotting defects. They should be a team player and excellent communicator. They should be passionate about Analytics, reporting and data modelling best practices.

Key responsibilities

• Data Architecture & Modeling
• Design and implement robust data models using fact and dimension tables, star schema, and snowflake schema approaches.
• Develop and maintain semantic layers and tabular models for reporting and analytics.
• ETL / ELT Development
• Build, optimize, and maintain data modelling, data pipelines, notebooks using Azure Synapse Analytics, serverless and dedicated pools and SQL databases.
• Integrate data from multiple sources, ensuring accuracy, consistency, and completeness.
• Python / PySpark for data transformation.
• Data Analysis & Reporting
• Create and maintain Power BI datasets, dashboards, and reports.
• Optimize Power BI data models for performance and usability.
• Data Quality & Governance
• Implement best practices for data validation, cleansing, and transformation.
• Work closely with stakeholders to ensure data accuracy, integrity, and security compliance.
• Performance Optimization
• Tune SQL queries, indexes, and data models for maximum efficiency.
• Monitor and improve performance of ETL pipelines and reporting solutions.
• Collaboration & Support
• Work closely with business analysts, data scientists, and application developers to support data-driven decision-making.
• Provide technical guidance on Azure data services and data modeling best practices

Qualifications

Experience

Attributes