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Kerja Sepenuh Masa, Data Engineer (Microsoft Fabric) di Robert Walters Federal Territory - Maukerja

Data Engineer (Microsoft Fabric)

Robert Walters

Undisclosed

KL City, Federal Territory

Kongsi
Simpan

Lokasi Kerja

  • Kuala Lumpur Federal Territory Malaysia

Penerangan Kerja

Tanggungjawab

A leading organisation in Kuala Lumpur is seeking a Data Engineer specialising in Microsoft Fabric to join their expanding team. This role offers you the opportunity to work at the forefront of enterprise data solutions, leveraging cutting-edge technology to build scalable, governed, and trusted reporting platforms.

What you'll do:

As a Data Engineer specialising in Microsoft Fabric based in Kuala Lumpur, you will play a pivotal role in shaping the organisation's enterprise data landscape. Your day-to-day responsibilities will involve architecting robust solutions using Lakehouse frameworks, building efficient pipelines for data ingestion and transformation, developing analytics-ready datasets that empower business decision-making, and ensuring operational reliability through proactive monitoring. You will also be responsible for creating Power BI semantic models that serve as the foundation for accurate reporting while implementing access controls such as Row-Level Security. Supporting rigorous governance standards is key; you will document lineage, metadata, and ensure compliance with security protocols. Engaging directly with stakeholders across departments will allow you to translate complex business requirements into actionable data products. Your technical guidance will help drive improvements in reporting frameworks while fostering collaboration between internal teams and external partners. Success in this role requires attention to detail, commitment to quality assurance processes, adaptability in managing multiple priorities simultaneously, and enthusiasm for sharing knowledge within an inclusive environment.

  • Design, develop, and maintain Microsoft Fabric data solutions using Lakehouse architecture and Medallion framework to ensure scalable and reliable reporting capabilities.
  • Build and optimise data ingestion, transformation, and orchestration pipelines that support seamless integration of multiple data sources across the business.
  • Develop analytics-ready datasets and scalable data models tailored to meet evolving business reporting requirements while maintaining high standards of quality.
  • Monitor pipeline performance proactively, troubleshoot refresh failures, and address data quality issues to ensure operational reliability.
  • Implement comprehensive data validation and quality assurance processes that uphold integrity and consistency throughout all reporting outputs.
  • Design and maintain Power BI semantic models as the single source of truth for analytics, ensuring efficient access control through Row-Level Security (RLS).
  • Develop engaging Power BI dashboards and reports for business users and management teams, optimising model performance for maximum efficiency.
  • Support the implementation of robust data governance standards including dataset ownership, naming conventions, certification processes, and thorough documentation.
  • Maintain detailed data lineage, metadata records, and reporting documentation to facilitate transparency and compliance with security policies.
  • Collaborate closely with business stakeholders to gather requirements, translate KPIs into scalable models, provide technical guidance, and deliver enhancements alongside internal teams and external vendors.

What you bring:

To excel as a Data Engineer specialising in Microsoft Fabric you will bring substantial hands-on experience from previous roles focused on enterprise-level engineering or analytics projects. Your technical acumen spans cloud-based platforms like Azure Data Analytics where you have designed scalable architectures using Lakehouse frameworks. You possess advanced SQL skills enabling efficient transformation of complex datasets into actionable insights. Building ETL/ELT pipelines comes naturally to you; your approach ensures seamless integration across diverse sources while upholding rigorous quality standards. Your familiarity with Power BI extends beyond basic dashboard creation-you understand semantic modelling intricacies as well as access control mechanisms such as Row-Level Security. Knowledge of governance frameworks allows you to maintain transparent documentation practices around lineage and metadata. Ideally you have leveraged Python for automation or sophisticated processing tasks; exposure to CI/CD workflows further demonstrates your adaptability within modern development environments. Integrating APIs from enterprise systems like SAP or CRM platforms showcases your versatility when handling multifaceted projects. Beyond technical prowess you are detail-oriented yet enthusiastic about sharing knowledge-your interpersonal skills foster collaboration among teams while your commitment drives improvements across reporting frameworks.

  • 3-6 years of proven experience in Data Engineering or related fields such as Analytics Engineering or BI Engineering within enterprise environments.
  • Hands-on expertise with Microsoft Fabric including Lakehouse architecture, OneLake integration, Dataflows creation, Pipelines management, and Semantic Model development.
  • Demonstrated proficiency in Azure Data Analytics solutions or similar cloud-based platforms supporting large-scale reporting initiatives.
  • Advanced SQL skills encompassing data transformation techniques, modelling strategies, query optimisation practices for efficient processing.
  • Experience building robust ETL/ELT pipelines that integrate multiple sources while maintaining high standards of quality assurance.
  • Comprehensive understanding of Power BI including DAX scripting capabilities, semantic model design principles, dashboard development best practices, and Row-Level Security implementation.
  • Knowledge of industry-leading data governance frameworks covering dataset ownership protocols, naming conventions adherence, certification procedures, metadata management strategies.
  • Familiarity with Python programming for automation tasks or advanced data processing workflows is highly desirable.
  • Exposure to CI/CD methodologies including Git-based development workflows as well as deployment management within cloud environments enhances your suitability.
  • Experience integrating APIs from various enterprise systems such as SAP or CRM platforms alongside digital analytics tools is considered advantageous.

What sets this company apart:

This organisation stands out by offering a nurturing environment where collaboration thrives among knowledgeable professionals who value inclusivity and growth leadership. Employees benefit from flexible working opportunities that accommodate both professional ambitions and personal needs-ensuring a healthy work-life balance is always prioritised. Continuous training programmes are available so you can expand your skillset while staying abreast of industry advancements; this commitment to learning empowers every team member regardless of their background or experience level. Supportive leadership encourages open communication channels where ideas are shared freely-creating a communal atmosphere built on trustworthiness and dependability. The company's dedication to diversity means under-represented voices are heard; everyone is encouraged to contribute meaningfully towards shared goals without fear of exclusion. By joining this team you become part of a network that values empathy alongside technical excellence-making it an ideal place for those who seek both professional fulfilment and genuine connection within their workplace.

What's next:

If you are ready to take your career forward by joining a collaborative team dedicated to transforming enterprise data solutions in Kuala Lumpur-apply now!

Apply today by clicking on the link provided.


Do note that we will only be in touch if your application is shortlisted.


Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C

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