Senior Data Engineer

About SEEK

At SEEK, we serve a noble purpose: to help people live more productive and fulfilling working lives and to help organisations succeed.

By joining us, you’ll be part of a multinational technology business that is far-reaching with a start-up working culture that focuses on a set of collaborative values and appreciates dynamic cultures. SEEK is a place where potential meets possibility – it’s where your career aspiration and our purpose can make great things happen.

Why join us?

Be part of a multinational tech company with strong core values to help us solve complex challenges while building a flexible, exciting career – one that could take you anywhere. We’re looking for people who thrive in dynamic teams and enjoy tackling regular new challenges in a large-scale, modern, and agile environment.

As one of Asia Pacific’s largest tech companies, you’ll contribute to multilingual systems, solving high-impact problems to the benefit of millions of people within the region. Be part of a fast-growing company with a strong culture and clear purpose, innovation and strong investment in responsible AI. SEEK offers you the opportunity to be involved in impactful work and be part of a great team.

Expect a great investment in your career development with access to workshops, conferences & courses while you work alongside seasoned experts.

The Team
The Senior Data Engineer – Marketing Technology reports to the MarTech Data & Insights Manager within the Marketing Technology Team, which is a graphically dispersed APAC-wide team of 14 members. It is important that this role establishes a strong connection with:

Internal Stakeholders: Marketing, Data Services, AI & Ontology Team, BI/Reporting teams, Strategy and Product teams, Infrastructure teams (DBA, SysEng and DevOps), Development teams

External Stakeholders: Databases housed outside of SEEK

The Role
The Senior Data Engineer is a vital part of the Marketing Technology Team, working closely with the MarTech Data & Insights Manager and Data Team to shape the data structures and models that underpin marketing technology. You will translate marketing and customer requirements into clear, trusted and scalable data models that support segmentation, personalisation, analytics and activation across ANZ and Asia.

This is a pivotal, data-modelling-focused role responsible for analysing source systems, defining conceptual, logical, physical and dimensional models, and partnering with data engineers to implement them through robust pipelines. You will establish the right grain, keys, relationships, business definitions and data quality expectations, balancing usability, performance, scalability, security and long-term maintainability. Experience with Databricks is welcome but not required

Key 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 that support 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 to 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 your team supports, using their needs to guide modelling priorities and maximise business impact across APAC.
• Drive continuous improvement in the data modelling and engineering process, communicating progress, risks and changes that may affect stakeholders.
• Contribute to an environment of collaboration, knowledge sharing and continuous learning within the team

Essential Qualifications, Skills and Experience

• 8–10 years of data modelling experience, ideally in data warehousing, datamarts or analytical data platforms.
• Proven experience designing and delivering conceptual, logical, physical and dimensional data models.
• Advanced SQL development skills, including the ability to profile, validate and troubleshoot data models and transformations.
• Strong understanding of database design, including normalisation, denormalisation, schema design and database performance optimisation.
• Experience analysing source systems, defining source-to-target mappings and translating business requirements into robust data structures.
• Experience implementing data models through ETL/ELT, orchestration and data processing pipelines.
• Experience with modern data platforms or big data technologies, such as Hadoop/EMR, Spark/Presto or MPP relational databases.
• Experience with AWS or comparable cloud data platforms.
• Exposure to Martech tools/Platforms
• Understanding of data quality, governance, metadata and lineage practices, with an appreciation of how data is consumed through reporting and visualisation tools.

Other Qualifications, Skills and Experience

• Tertiary qualification in Data Technology, Computer Science or a related discipline.
• Experience working within a remote or distributed team.
• Experience using collaboration and delivery tools such as JIRA and Confluence.
• Experience with Databricks is advantageous but not essential. Exposure to enterprise CDP platforms is also beneficial.

Perks and benefits
(Choose 3 that align to the role and delete the rest of the Perks & Benefits)

Permanent Perks
At SEEK we offer:

• Annual Performance Bonus Plan
• Support of flexible working, including a mix of office and work from home days depending on your role.
• Frequent events including sports days, annual Christmas party, hackathon, and trivia
• Free kick-start breakfast every morning and fresh fruit available all day in our offices
• Casual dress – every day

At SEEK, we are passionate about fostering a culture of inclusion and wellbeing that embraces and values the diversity of our people. We are a purpose driven business that works with heart.

We know teams with diverse ideas, experiences and perspectives are more creative and are critical to ensuring effective delivery and innovating to enable our future success. As such, we welcome applications from people with diverse backgrounds and life experiences, especially as they relate to gender, sexual identity, culture, faith, disability and life stages. If you have the skills, curiosity and an adaptable mindset but don't meet every responsibility or qualification listed in this advertisement, please still get in touch with us.

Should you require any specific support or adjustments throughout the recruitment process and beyond, please advise us and we will be happy to assist.

For this role, only those with eligible right to work will be considered.

SEEK kindly requests no unsolicited resumes or approaches from recruitment agencies and will not be responsible for any associated fees.