Manager, Data Engineer

Pixlr; Subang Jaya; On-site; MYR 180,000 - 280,000; Full time

Benefits offered by this job

Annual leave

Medical coverage

Optical & dental subsidies

Training & guidance

Diversity & growth

Job summary

Pixlr seeks a Data Engineer Manager to own our data lifecycle from ingestion to analytics, enabling trusted data for decision-making. You will drive the data platform roadmap, manage a small team of engineers and analysts, and establish best practices across analytics, reporting, and governance.

You will design scalable data models, govern data quality, and partner with stakeholders to define KPIs and self-service analytics while ensuring PDPA/GDPR/privacy compliance.

Qualifications

• 6-10 years of experience in data engineering or analytics with ownership of data platforms.
• Strong SQL and Python or similar scripting language.
• Hands-on with modern data platforms like Snowflake/BigQuery and orchestration tools.
• Experience with dimensional modeling, ELT, data quality, PII handling, and privacy rules.
• Ability to translate business needs into data models, KPIs, and analytics outputs.
• Strong ownership, execution discipline, and stakeholder communication.

Responsibilities

• Define and execute the data strategy aligned with business goals and regulatory requirements.
• Own data platform stack including ingestion, storage, and BI layers; ensure governance and security.
• Lead data team; manage engineers/analysts and establish best practices for analytics and governance.
• Partner with stakeholders to define KPIs, certified datasets, and reporting standards.
• Oversee data quality, lineage, access controls, and privacy-compliance programs.

Skills

SQL

Python

Stakeholder communication

Data modelling

ELT design

PDPA/GDPR awareness

Education

Bachelor's degree in a relevant field

Tools

Snowflake

BigQuery

Airflow

LookML

Job description

We’re seeking a Data Engineer Manager to own our data lifecycle including ingestion, modeling, governance, quality, security, and access, so teams can trust and use data to make decisions. You will drive the data platform roadmap, manage a small team (engineers/analysts), and establish best practices across analytics, reporting, and governance.

The Job:

• Define and execute the data strategy aligned with business goals and regulatory requirements.
• Prioritise data initiatives including dashboards, master data management, event tracking, experimentation readiness, and AI/ML readiness.
• Own the data platform stack, including data ingestion, transformation, storage, orchestration, metadata, and business intelligence layers.
• Design scalable data schemas, dimensional models, and semantic layers to support self-service analytics.

3. Data Engineering & Operations

• Build and operate data ingestion pipelines across product, marketing, finance, and third-party data sources.
• Establish data engineering practices including CI/CD, testing, code review, version control, and service levels for critical datasets.
• Monitor and optimise platform performance, reliability, and cost efficiency.

4. Governance, Security & Compliance

• Implement data governance practices covering data ownership, definitions, lineage, and retention.
• Enforce data access controls, masking, anonymisation, and privacy-by-design principles, including compliance with PDPA and GDPR.
• Drive data quality management through defined data quality (DQ) rules, monitoring, and issue resolution.

5. Analytics Enablement

• Partner with stakeholders to define KPIs, certified datasets, and reporting standards.
• Enable self-service analytics through governed data models and documentation.
• Standardise event tracking and experimentation data practices.
• Manage and support day-to-day work planning for data engineers and analysts involved in data initiatives.
• Coordinate with external vendors and service providers supporting the data platform.
• Support evaluation of tools and vendors related to data engineering and analytics.

Requirements

The Person:

• 6-10 years of experience in data engineering or analytics, including ownership of data platforms or major data initiatives.
• Strong proficiency in SQL and at least one scripting language (Python preferred).
• Hands-on experience with modern data platforms (e.g.: Snowflake, BigQuery, etc), data modelling approaches, and workflow orchestration tools.
• Practical experience with dimensional modeling, ELT design, DQ frameworks, PII handling, access control, and privacy requirements (including PDPA and GDPR).
• Ability to translate business requirements into data models, KPIs, and analytics outputs.
• Strong ownership, execution discipline, and stakeholder communication skills.
  

Nice-to-Haves

• Experience with event analytics (product analytics, A/B testing), reverse ETL, and semantic layers (LookML/Thin Semantic models).
• Exposure to ML feature stores/ML Ops (Feast, Vertex/AWS SageMaker pipelines).
• Hands-on with PDPA/GDPR, ISO 27001/SOC 2 (Type II), PCI DSS (if payments), data retention & ROPA, DPIA/PIA processes, data masking/tokenization, cross-border transfer controls, vendor risk/DPAs, audit readiness, and partnering with Security/GRC/DPO.
• Annual Leaves- Additional annual leave will be credited to you on a yearly basis.
• Medical and Insurance Coverages - We have got you covered.
• Subsidies - Enhancing your well-being, we offer optical and dental subsidies.
• Opportunities - Above training and guidance, you will have the opportunity to try, to build your confidence and become your best self, and to interact and build a strong relationship.
• Rocking Diversity- Play hard, work harder with people of diverse skill sets and experiences! Challange yourself to step out of your comfort zone, and you'll find yourself growing in way you'd never imagine.