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SEEK

Online employment marketplace for job seekers

Senior Data Engineer

Data ManagementPosted on Nov 13
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

About the Job

Requirements

  • Requires 8–10 years of data modelling experience, ideally in data warehousing, datamarts, or analytical data platforms.
  • Requires proven experience designing and delivering conceptual, logical, physical, and dimensional data models.
  • Requires advanced SQL development skills, including profiling, validating, and troubleshooting data models and transformations.
  • Requires a strong understanding of database design, including normalisation, denormalisation, schema design, and database performance optimisation.
  • Requires experience analysing source systems, defining source-to-target mappings, and translating business requirements into robust data structures.
  • Requires experience implementing data models through ETL/ELT, orchestration, and data processing pipelines.
  • Requires experience with modern data platforms or big data technologies, such as Hadoop/EMR, Spark/Presto, or MPP relational databases.
  • Requires experience with AWS or comparable cloud data platforms.
  • Requires exposure to marketing technology tools or platforms.
  • Requires understanding of data quality, governance, metadata, and lineage practices, and how data is consumed through reporting and visualisation tools.
  • A tertiary qualification in Data Technology, Computer Science, or a related discipline is listed among other qualifications.
  • Experience working within a remote or distributed team is listed among other qualifications.
  • Experience using collaboration and delivery tools such as JIRA and Confluence is listed among other qualifications.

Responsibilities

  • Work with key stakeholders, business analysts, data analysts, and development teams to understand requirements and define fit-for-purpose data modelling solutions.
  • Lead the design and documentation of conceptual, logical, physical, and dimensional data models for data warehouses, datamarts, and analytical use cases.
  • Define entities, attributes, relationships, keys, grain, hierarchies, and business definitions in partnership with subject matter experts.
  • Design and evolve scalable data warehouse, datamart, and analytical schemas supporting consistent reporting, segmentation, personalisation, and activation.
  • Analyse source systems and perform source-to-target mapping, identifying data meaning, dependencies, gaps, and transformation requirements.
  • Partner with data engineers to implement models through reliable ETL/ELT and data processing pipelines.
  • Use advanced SQL to validate models, transformations, and data quality, and support data discovery and troubleshooting.
  • Apply modelling standards and contribute to consistent naming, documentation, metadata, lineage, and governance practices.
  • Review and optimise model performance, query efficiency, physical schemas, and underlying system resource utilisation.
  • Support end users of data assets by helping them find, understand, and use trusted data, and by resolving modelling or data quality issues.
  • Identify and resolve data quality issues by working with source-system owners and delivery teams.
  • Contribute to operational support of data systems, including incident response, monitoring and alerting, CI/CD, and relevant database administration.
  • Understand the marketing, sales, and service customers supported by the team, using their needs to guide modelling priorities and maximise business impact across APAC.
  • Drive continuous improvement in data modelling and engineering processes, communicating progress, risks, and changes that may affect stakeholders.
  • Contribute to collaboration, knowledge sharing, and continuous learning within the team.

Desired Qualifications

  • Experience with Databricks is advantageous but not essential.
  • Exposure to enterprise CDP platforms is beneficial.

About the Company

SEEK

Online employment marketplace for job seekers

SEEK operates an online employment marketplace in Australia, connecting job seekers with potential employers. Its platform hosts job listings that job seekers can search and apply to, while employers post openings to reach a broad audience. Over time SEEK expanded beyond job ads to include education and training opportunities, offering a broader set of services on one digital platform. Unlike some competitors, SEEK started as an early online alternative to print job ads, grew into a publicly traded company, and now combines job listings with education-related offerings to create a full talent-sourcing ecosystem. The company’s goal is to help people find work and training opportunities efficiently by digitizing and simplifying the process of connecting job seekers with employers and learning options.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Melbourne VIC, Australia
Founded
1997

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