Kerja AI

Data Engineer

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We are looking for true Full Stack Data Engineers who own the entire value chain of data. You are not just a backend developer; you collect data, process it, and visualize it for our customers. Crucially, you interact directly with business stakeholders to gather requirements, demo your results, and validate that the data is accurate. The technical architecture for PowerBI Embedded is already designed—your job is to build the pipelines and reports that feed it.

Key Responsibilities:

  • Requirements & Validation: Talk to business stakeholders to understand what insights they need. Translate these needs into technical tasks. After building, you demonstrate the PowerBI report to the stakeholder to validate the numbers.
  • Data Collection: Build and maintain robust Azure Functions (Python) to scrape data from various APIs. You handle the complexity of authentication, pagination, and error handling.
  • Data Engineering: Develop high-quality PySpark notebooks in Databricks to transform raw JSON into clean, structured data (Medallion Architecture: Bronze/Silver/Gold).
  • Reporting: Build insightful PowerBI models and dashboards. You ensure the data model is efficient (Star Schema) and the visuals answer the business questions.
  • Maintenance: You run what you build. You proactively monitor your pipelines and fix issues before the customer notices.

Requirements (Must Haves):

  • 3-5+ years of experience as a Data Engineer or BI Developer with a strong engineering background.
  • Communication Skills: Proven ability to discuss requirements with non-technical colleagues in English. You don't just take orders; you ask "why" and suggest better solutions.
  • Python & APIs: Strong coding skills in Python. Experience writing scripts to fetch data from REST APIs (handling retries, rate limits).
  • Databricks & SQL: Comfortable writing PySpark transformations and complex SQL queries.
  • PowerBI Mastery: Deep knowledge of Data Modeling (relationships, star schema) and DAX. You know how to build a user-friendly report.
  • Autonomy: You can take a one-line requirement (e.g., "We need insight into ticket response times") and turn it into a finished report without constant supervision.

Nice to Haves:

  • Experience with AI workloads and how to shape and present data so that we can use it for AI
  • Strong experience in Symantic models, unity catalog and data optimization
  • Experience working in an Agile/Scrum team.

 

Benefits / Perks

• ☀️ Time Off: 15 days annual leave + public holidays
• 🎂 Birthday Leave: One extra day off to celebrate
• 💰 Company Pension Scheme
• 📞 Employee Assistance Programme (EAP) for wellbeing support
• 🏃‍♀️ EkcOlympics: Global team activity challenges
• 📚 Unlimited access to Pluralsight for continuous development
• 🌱 Real opportunities to grow, including international progression

Why Ekco

  • 🏅 Company of the year 2026 Tech Excellence Awards

  • ⭐️ Microsoft’s 2023 Rising Star Security Partner of the Year

  • 🚀 First Irish Microsoft MSP to achieve all four Microsoft Security Specializations

  • 🌈 A culture rooted in diversity, equality, inclusion & belonging

  • 🎉 A commitment to internal mobility and career progression

  • ✨ Flexible, family-friendly working at the heart of our culture

  • 🔐 Proud to be your trusted security-first Managed Service Provider chosen by IT leaders to drive operational efficiency, scale smarter and stay ahead of risk.

About the Company

About the Job

Posted8 hours ago
Apply BeforeSep 1, 2026
Work SetupOnsite
CityKuala Lumpur
CountryMalaysia
Skills / Tags
data engineeringdata science
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