Consultant - Data Engineer at Intelligen Group

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure, Microsoft Fabric, Data Engineering, ETL, ELT, Data Modelling, SQL, Data Governance, DevOps, Data Factory, Synapse, Data Lake, Power BI, Databricks, Collaboration, Problem Solving

Industry

IT Services and IT Consulting

Description

At Intelligen, we’re building something different. Over the past three years, we’ve evolved from a bold startup into a trusted partner for some of Australia’s most complex data transformations. We’ve helped organisations move from legacy to modern cloud platforms, embed governance into decision-making, and bring AI into the hands of business users – responsibly and at speed. Now, as we scale into Southeast Asia, we’re looking for a Data Engineer who’s passionate about modern data platforms and the possibilities of Microsoft Fabric. This is your chance to work on high-impact projects across the region and help shape how data is built, modelled, and used to drive meaningful outcomes. About the Role We’re seeking a hands-on Data Engineer with strong experience in Azure and Microsoft Fabric to design, build, and optimise data pipelines for clients across Southeast Asia and APAC. You’ll work closely with analysts, architects, and business stakeholders to deliver cloud-native solutions that are secure, scalable, and ready for insight. From ingestion through to transformation and visualisation, you’ll play a critical role in enabling clients to harness their data with confidence and speed. This is a great opportunity for someone who thrives in a collaborative environment, loves solving data challenges, and is excited by the chance to build something new within a growing regional team. What You’ll Do Design and build data pipelines using Azure Data Factory, Synapse, and Microsoft Fabric Develop robust ETL/ELT solutions and data models to support analytics and reporting Optimise performance, scalability, and reliability across cloud data architectures Work closely with business stakeholders to translate needs into technical outcomes Contribute to data governance, quality, and lineage initiatives Collaborate with cross-functional teams across Australia and APAC Support pre-sales, technical design sessions, and proof-of-concept (POC) work 4+ years’ experience in data engineering or cloud data roles Proven experience with Azure Data Services (Data Factory, Synapse, Data Lake, Purview) Practical experience using Microsoft Fabric (OneLake, Data Pipelines, Dataflows, Notebooks) Strong SQL and data modelling skills Exposure to modern data stack tools like dbt, Power BI, or Databricks Understanding of data governance and DevOps principles Excellent problem-solving, communication, and collaboration skills Based in Malaysia, with the ability to work flexibly across time zones We’re not just delivering AI and data projects - we’re humanising them. That means we care deeply about the how, not just the what. We value curiosity, creativity, and a willingness to challenge the status quo. We look for people who are driven to building a business, get curious and offer up their opinions and ideas. You’ll work with a team that’s smart, kind, and ambitious. You’ll have real influence - in your projects, your practice, and our business. And as we grow, so will you. Ready to do work that matters - and help shape the future of responsible AI? We’d love to meet you.

Responsibilities

Design and build data pipelines using Azure Data Factory and Microsoft Fabric. Collaborate with cross-functional teams to deliver cloud-native solutions that are secure and scalable.