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HyTech

Data Engineer

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Job Description

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape.

With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

About the role

We are seeking a Data Engineer to enable data-driven decision-making by building and optimizing data analytic solutions. In this role, you will design scalable data pipelines, integrate data from multiple data sources, and empower stakeholders with actionable insights through Power BI. This is a hands-on opportunity to take ownership of data workflows and directly impact business performance.

What You'll Do:

  • Build and maintain high-performance data pipelines that power analytics and reporting.
  • Integrate and transform data from diverse third-party data sources into a centralized reliable data platform.
  • Collaborate with business and technical teams to develop requirements into insightful, accurate reports and dashboards.
  • Ensure data quality, integrity, and reliability across all pipelines and reporting layers.
  • Manage and administer Power BI datasets, reports, and workspaces, following governance and performance best practices.
  • Leverage technologies like Databricks and Spark-based workflows to process, transform, and analyze large-scale datasets.

What We're Looking For:

  • Strong proficiency in Python for data orchestration and transformation.
  • Advanced knowledge of SQL and relational data modeling concepts.
  • Hands-on experience with Power BI development, administration, and performance optimization.
  • Practical experience with Databricks and ETL/ELT pipelines.
  • Strong problem-solving skills and the ability to deliver solutions independently and collaboratively.
  • Ability to translate complex data into clear insights for business stakeholders.
  • Comfortable working in cross-functional teams and managing priorities effectively.

Nice-to-Have:

  • Experience with AWS cloud data service.
  • Familiarity with technologies like Apache Airflow, MySQL, PostgreSQL and so on.
  • Knowledge of data governance and CI/CD.
  • Exposure to streaming or near-real-time data workflows.

What We Offer

  • Easy access to public transportation (LRT & KTM).
  • Transportation allowance.
  • Corporate insurance coverage, including dental, optical, and outpatient claims.
  • Gym and fitness claims.
  • Ongoing training and development opportunities.
  • Exposure to exciting projects that support career growth and professional development.

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About Company

Job ID: 146484841

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