Senior Data Engineer

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

Qualifications :

Essential Qualifications Skills and Experience

• 810 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.

Additional Information :

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 dont 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.

Remote Work :

No

Employment Type :

Full-time