Senior Data Engineer

K3 Advisory Group

Senior Data Engineer at K3 Advisory Group responsible for building governed data foundations and scalable pipelines. Collaborating with teams to support AI-enabled workflow and data integrity.

Posted 5/26/2026full-timeKuala Lumpur • 🇲🇾 MalaysiaSenior💰 MYR 138,650 - MYR 149,321 per yearWebsite

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Build and maintain scalable data pipelines, models and serving layers across cloud data platforms.
Define clean analytical schemas and semantic contracts for product, dashboard and AI consumption.
Implement ELT/ETL pipelines using SQL, Python, DBT and modern orchestration patterns.
Design data models that support tenant/client separation, permission-aware access and audit requirements from the ground up.
Apply lakehouse/medallion patterns (bronze/silver/gold) where they earn their place, avoiding architectural complexity that does not serve a clear use case.
Build quality checks, reconciliation controls and monitoring for data freshness, completeness and accuracy.
Instrument pipelines with logging, metrics and alerting so that failures are detected and triaged quickly.
Define and maintain SLAs/SLOs for critical datasets in collaboration with product and business owners.
Own incident response and post-incident learning for the data domains assigned to the role.
Integrate operational systems, finance systems, CRM systems, external APIs and reporting platforms where needed.
Help onboard acquired businesses onto the Group's data platform with a repeatable, documented pattern rather than bespoke effort each time.
Work with AI/ML engineers to expose approved data functions without leaking raw platform details or unauthorized data access.
Support embedded analytics and native dashboard development by providing governed metric definitions and performant data views.
Champion CI/CD, code review, documentation, naming standards and data governance practices.
Mentor less experienced engineers and help set the quality bar for data engineering delivery.
Contribute to platform decisions: tooling selection, modelling conventions, lineage approach and metric definition processes.
Drive a culture of "build it once, use it many times" so that delivery teams benefit from clear source mappings, metric definitions and data contracts.

Requirements

What you’ll need

5+ years commercial data engineering experience, including time spent in senior or lead capacities.
Strong SQL and Python skills.
Production experience with Microsoft Fabric, Databricks, Snowflake or a similar cloud data platform.
Experience with DBT, medallion architecture, lakehouse/warehouse modelling and data quality frameworks.
Experience designing semantic layers, metric definitions or governed analytical contracts.
Experience with APIs, system integrations, monitoring, error handling and pipeline observability.
Strong understanding of secure multi-tenant or permission-aware data access patterns.
Experience supporting analytics, dashboarding, AI/ML or data product teams.
Able to work effectively with UK stakeholders and translate business needs into data architecture and delivery plans.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account K3 Advisory Group Website LinkedIn All Job Openings 1001 - 5000 employees 🤝 B2B 💸 Finance 🎯 Recruiter B2B
Finance
Recruitment K3 Advisory Group is a UK-based business advisory firm that supports entrepreneurs, leadership teams and their advisers through periods of growth, change and transition. With more than 1,200 employees across 25 offices and international bases, the group provides corporate finance, M&A, restructuring and specialist advisory services, alongside recruitment and related professional support. Privately owned by Sun Capital and operating for over 25 years, K3 serves other businesses and professional clients on a B2B basis. Senior Data Engineer 🔥 2 hours ago 🏢🏡 Kuala Lumpur – Hybrid 💵 RM138.7k - RM149.3k / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer Cloud ETL Python SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Build and maintain scalable data pipelines, models and serving layers across cloud data platforms.
Define clean analytical schemas and semantic contracts for product, dashboard and AI consumption.
Implement ELT/ETL pipelines using SQL, Python, DBT and modern orchestration patterns.
Design data models that support tenant/client separation, permission-aware access and audit requirements from the ground up.
Apply lakehouse/medallion patterns (bronze/silver/gold) where they earn their place, avoiding architectural complexity that does not serve a clear use case.
Build quality checks, reconciliation controls and monitoring for data freshness, completeness and accuracy.
Instrument pipelines with logging, metrics and alerting so that failures are detected and triaged quickly.
Define and maintain SLAs/SLOs for critical datasets in collaboration with product and business owners.
Own incident response and post-incident learning for the data domains assigned to the role.
Integrate operational systems, finance systems, CRM systems, external APIs and reporting platforms where needed.
Help onboard acquired businesses onto the Group's data platform with a repeatable, documented pattern rather than bespoke effort each time.
Work with AI/ML engineers to expose approved data functions without leaking raw platform details or unauthorized data access.
Support embedded analytics and native dashboard development by providing governed metric definitions and performant data views.
Champion CI/CD, code review, documentation, naming standards and data governance practices.
Mentor less experienced engineers and help set the quality bar for data engineering delivery.
Contribute to platform decisions: tooling selection, modelling conventions, lineage approach and metric definition processes.
Drive a culture of "build it once, use it many times" so that delivery teams benefit from clear source mappings, metric definitions and data contracts. 🎯 Requirements
5+ years commercial data engineering experience, including time spent in senior or lead capacities.
Strong SQL and Python skills.
Production experience with Microsoft Fabric, Databricks, Snowflake or a similar cloud data platform.
Experience with DBT, medallion architecture, lakehouse/warehouse modelling and data quality frameworks.
Experience designing semantic layers, metric definitions or governed analytical contracts.
Experience with APIs, system integrations, monitoring, error handling and pipeline observability.
Strong understanding of secure multi-tenant or permission-aware data access patterns.
Experience supporting analytics, dashboarding, AI/ML or data product teams.
Able to work effectively with UK stakeholders and translate business needs into data architecture and delivery plans. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Engineer 🕒 April 2 QS Quacquarelli Symonds 501 - 1000 📚 Education Website LinkedIn All Job Openings Data Engineer developing and maintaining data pipelines that power QS’s analytics platforms. Collaborating with teams to ensure efficient data ingestion and transformation for high-quality analysis. 🏢🏡 Kuala Lumpur – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Airflow AWS Cloud ETL Python SQL Senior Data Engineer 🕒 March 11 QS Quacquarelli Symonds 501 - 1000 📚 Education Website LinkedIn All Job Openings Senior Data Engineer designing and delivering scalable data pipelines at QS. Implementing data solutions to empower higher education analytics and insights. 🏢🏡 Kuala Lumpur – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Airflow Cloud GraphQL Kafka Python SQL Data Engineer 🕒 July 30, 2025 GroupM 10,000+ employees 📱 Media 🤝 B2B Website LinkedIn All Job Openings Join WPP Media as a Data Engineer to build scalable data systems in a hybrid role. 🏢🏡 Kuala Lumpur – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Airflow AWS Azure Cloud ETL Google Cloud Platform Hadoop Kafka Python Spark SQL Terraform View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

SQLPythonDBTdata pipelinesdata modelsELTETLdata quality frameworkslakehouse architecturemedallion architecture

Soft Skills

mentoringincident responsecollaborationcommunicationproblem-solvingorganizational skillsleadershiptranslating business needsquality assuranceculture building