Data Engineer

At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age.

With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).

Work Set up: Hybrid (Onsite in Taguig, BGC)

Work Schedule: M-F with possible on-call schedules, Morning Shift - Oceania UTC and Holiday applies

Level: Mid to Senior , 2 – 5 Years or up experience

In this role, you will design and develop state-of-the-art Data Platforms that enable Advanced Analytics and AI, driving tangible business outcomes for our clients.

Key Responsibilities

• Consulting: Engage with clients to understand their needs, define strategy, and translate business requirements into technical solutions.
• Azure Data Integration: Implement and manage data integration solutions using Azure tools.
• Design & Architecture: Architect, model, and integrate data solutions that align with business goals and best practices.
• Development: Build and maintain Lakehouse, Data Lake, and Data Warehouse solutions.
• Agile/Scrum Participation: Collaborate effectively in Agile/Scrum teams to deliver high-quality solutions.

Required Skills

• Azure Cloud Expertise: Proficiency in Azure cloud services, particularly in data engineering and integration.
• Azure Data Factory/Data Pipelines: Hands-on experience with Azure Data Factory for data movement and transformation.
• Azure Synapse/Azure SQL: Strong knowledge of Azure Synapse and SQL databases.
• Azure Databricks or Spark: Experience in leveraging Azure Databricks or Spark for big data processing.
• Data Modelling & Integration: Solid understanding of data modeling and integration techniques.
• SQL: Advanced SQL skills for querying and managing data.
• Python/PySpark: Proficiency in Python and PySpark for data processing.
• Technical Excellence: A strong technical foundation to maximize the value of underlying technologies.
• Agile Methodology: Experience in delivering projects using Agile methodologies.

Preferred Skills

• Net Development: Familiarity with .Net for data applications.
• API Development: Experience in developing APIs for data integration.
• IoT & Stream Analytics: Knowledge of IoT data ingestion and real-time stream analytics.
• Power BI: Proficiency in Power BI for data visualization.

At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.