Data Engineer

Company Description

At Keypath, we invite you to be part of something transformative. As a global EdTech leader, we collaborate with prestigious universities to create and deliver online education solutions that tackle global social and economic challenges head-on.

Join our dynamic, fast-growing international team that thrives on collaboration, innovation, and lifelong learning. With offices in Kuala Lumpur, Melbourne, Sydney & Chicago, we are truly a global company. Today, we're a family of over 700 passionate "Keypathers" worldwide.

Join Keypath’s New APAC IT Division: Build, Innovate, and Grow

Keypath is establishing a brand-new IT division in the APAC region, creating an exciting opportunity to join a team from the ground up. As we build this division from scratch, we’re looking for passionate professionals eager to shape its foundation, drive innovation, and grow alongside a dynamic and collaborative team. This is a unique chance to be part of something new, influence key decisions, and develop your career within a global company committed to technological excellence.

Job Description

The Data Engineer at Keypath Education will collaborate with the APAC Data Engineering team to design and maintain essential data infrastructure and pipelines. They will act as a technical expert in system integration, data warehouse modeling, and creating semantic layers for actionable insights. The role emphasizes optimizing data pipelines and models for efficiency and reliability, driving growth across the Asia & Pacific region.

Key responsibilities include managing the data engineering lifecycle, analyzing business domains, understanding source data, and designing effective data pipelines and models. The candidate must have advanced skills in analytics and reporting, with the ability to build robust data models and integration pipelines for comprehensive data processing and visualization.

Key Accountabilities include (but are not limited to) the following:

Data Integration:

• Design and implement scalable and efficient data integration pipelines using Azure Data factory which ingests structured and semi-structured data from diverse sources like APIs, databases, file-shares, data streams
• Develop resilient system integration solutions leveraging Azure Functions, Python, .Net codebases and related development frameworks

Data Modelling:

• Design and develop comprehensive data warehouse models using Kimball dimensional modelling techniques that are scalable and efficient
• Develop and manage Azure Analysis Services semantic-layer tabular models to support business intelligence initiatives and self-service capabilities
• Maintain data dictionaries and metadata repositories to document data models and their elements, ensuring compliance with cross-region and customer data policies

Insights & Analytics:

• Create comprehensive Power BI solutions including advanced data models, interactive reports, data visualisation and dashboards through expert use of Power Query, DAX, and Power BI Service
• Implement robust Power BI security, including Row-Level Security (RLS), to meet diverse cross-functional team and regional access needs
• Manage the PowerBI instance including workspace, datasets, monitoring and troubleshooting and user access issues

Advanced Analytics:

• Develop scientific modeling solutions using Machine Learning and Artificial Intelligence technologies to generate actionable insights
• Implement predictive and prescriptive analytics solutions using advanced analytics methodologies to optimize decision-making and improve business outcomes

Delivery:

• Deliver complex data engineering solutions using Agile methodologies and iterative development processes
• Ensure quality of data engineering solutions by aligning with team’s architecture, development, productivity standards and processes
• Collaborate closely with the Product team and subject matter experts to understand and translate data engineering and integration requirements into technical solutions
• Ensure alignment of data engineering solutions with broader organizational strategic objectives and key performance indicators

DevOps:

• Design and maintain robust Continuous Integration and Continuous Deployment (CI/CD) pipelines for seamless system integrations
• Develop and maintain automation frameworks that enhance deployment efficiency and reduce manual intervention
• Conduct thorough code reviews and manage pull request approvals in Azure DevOps to ensure code quality and knowledge sharing

Operations:

• Proactively monitor data product health, security, data governance adherence, and regulatory compliance, ensuring operational stability and risk reduction
• Manage and resolve data related incidents through thorough root cause analysis and timely implementation of effective remediation activities
• Optimise the performance of data pipelines, queries, and overall data products for enhanced speed, efficiency, scalability and cost reduction
• Review and implement continuous improvement activities to boost data product efficiency and quality

Qualifications

Education:

• Minimum BS/BA Degree, preferably in a Technology, Computer Science, Mathematics or Statistics related discipline

Experience:

• 4+ years of data engineering experience with a proven history of successfully developing and deploying data-warehouse and data integration solutions using Microsoft Azure technologies
• 3+ years of experience with PowerBI and proficiency with semantic modelling and data packaging concepts (Cubes, Tabular Models)
• 2+ years of experience with Agile and scrum engineering practices and principles.

Technical:

• Expert in Microsoft SQL Server database and Azure data engineering (Azure Data Factory, Azure Functions, Azure Data Lake, Logic Apps) with strong ETL/ELT and SQL/T-SQL scripting skills
• Proven expertise in Business Intelligence and reporting tools (Microsoft PowerBI, DAX, Power Query, Azure Analysis Services) and related tools (Power Automate, Visual Studio, Tabular Editor, ALM Toolkit)
• Hands-on experience with Azure Machine Learning and Python programming skills for building ML Workflows
• Strong understanding of the CI/CD process using Azure DevOps (Pipelines, Board, GitHub)

Additional:

• Think logically and be able to articulate thoughts in a clear, concise manner
• Comfortably work both individually and as part of APAC team with team members located in Australia and Asia
• Take ownership of assignments and see them through to completion.
• Quickly learn and adapt when dealing with unfamiliar systems and applications.
• Be able to communicate clearly and effectively with business partners and co-workers
• Meet deadlines and complete work in a timely manner
• Display exceptional follow-through, personal drive, and the desire to make a difference
• Contribute to and participate in an open environment with a team that likes to have fun at work

Additional Information

At Keypath, we put our people first. We’re committed to creating a flexible, inclusive, and supportive work environment where you can thrive. Here’s what you can expect as part of our team:

Benefits and Rewards:

• Opportunity to work in office, hybrid or remotely
• All the necessary equipment for success including laptop
• Access to health & wellbeing programs including an Employee Assistance Program and Mental Health Days
• Learning & growth opportunities including access to LinkedIn Learning, Career Development Programs and Learning Labs  
• Employee led Initiatives such as Culture Club, Team Green, Sustainability and more
• Company events and activities run in office and remotely

Why Keypath?

• Global EdTech Leader: Join an industry on the rise.
• Transform the World: Contribute to upskilling and reskilling globally.
• Make an Impact: Help solve future economic and social challenges.

Join Keypath and make a difference. We welcome applicants from diverse backgrounds and offer inclusive support throughout the recruitment process.