Company Description
About SEEK
SEEK’s portfolio of diverse businesses make a positive impact on a truly global scale. Our purpose is to help people live more fulfilling and productive working lives and help organisations succeed. We create world-class technology solutions to connect more people to relevant employment, education, small business and volunteer opportunities. We have a culture of high-performance in our workplaces and celebrate the diversity of our employees who contribute to the success of our organisation.
Life at SEEK
SEEK’s purpose is at the centre of everything we do. Our SEEK, which defines the way we work, is all about what makes us unique and a little bit different. Passion, Team, Delivery and Future are our principles that drive innovation and creativity. SEEK strives to support employee wellbeing by providing an amazing experience at work which led us to being named AFR BOSS Top 10 Best Places to work in technology for the fourth year in a row. We are proud to work in an environment that's inclusive where everyone's unique ideas, experiences and perspectives are valued.
Our award-winning head office in Cremorne (just a 4 min walk from Richmond station) provides an exceptional space to collaborate with colleagues. The building provides sweeping views of the city, a games area, sit and stand desks at every workstation, modern end-of-trip facilities and Thursday night drinks which gives our people an opportunity to connect in a social setting.
Job Description
The Role
The Data Engineer is a vital part of the Data Services Team, who are responsible for developing databases and data processing pipelines to enable predictive analytics, data science, and business
intelligence.
- Work with key stakeholders, BA / Data Analyst, and development team to analyse and define technical solutions to meet business and non-functional requirements.
- Operational support of our systems (incident response, CI/CD, Monitoring/Alerting, some database and system administration).
- Supporting end users of our data assets (finding & understanding data, tuning queries, resolving data quality issues).
- Low level performance analysis and optimization of databases, SQL queries, ETL processes, physical schemas, as well as underlying system and resource utilization.
- Analysis of data and source systems.
- Design, development and testing of:
- Data processing pipelines
- Data warehouse / datamarts / dimensional models
- Logical and physical database schemas, indexes, views, etc.
- SQL queries
- Scripting for orchestration, operations, and data management
- AWS infrastructure and services
The Team
This role will be reporting to the Data Services Management
Internal Stakeholders
AI & Ontology Team, BI/Reporting teams, Strategy and Product teams, Infrastructure teams (DBA, SysEng and DevOps), Development teams
External Stakeholders
Technology, consulting and development resource vendors
Qualifications
Essential Qualifications, Skills and Experience
-
Data Warehouse/Datamart Development: Proven experience in the design, development, and optimization of data warehouses and datamarts, including data integration and management.
-
Advanced SQL Development: Expertise in writing complex SQL queries for data manipulation, optimization, and reporting across large datasets.
-
Software Engineering & Scripting: Strong proficiency in software engineering principles, with expertise in coding and scripting (e.g., Python, Java, etc.) to automate and optimize data processes.
-
Data Pipeline/ETL/Orchestration Development: Extensive experience in designing and developing end-to-end data pipelines, ETL processes, and orchestration workflows for efficient data processing and integration.
-
Physical, Logical, and Dimensional Data Modelling: Deep understanding of database design, including physical, logical, and dimensional modelling for large-scale data systems.
-
Database Performance Optimisation: Strong understanding of database performance tuning techniques and optimization strategies to ensure high performance in large data environments.
-
Big Data Systems: Experience working with big data technologies such as Hadoop/EMR, Spark/Presto, and MPP relational databases, including distributed data processing and management.
-
AWS Experience: Proficiency with AWS cloud services, particularly EMR for big data processing and S3 for scalable data storage.
Additional Information
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.
- Paid and unpaid leave benefits including Personal Flexi Days and Volunteer Days, as well as the opportunity to purchase additional leave
- Support for parents with 14 weeks paid primary carers leave and 2 weeks paid leave for partners.
- SEEK is committed to operating sustainably, certified carbon neutral for its business operations (through Climate Active), purchasing renewable energy for our office and working-from-home emissions and a target for net zero by 2030.
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 candidates with the 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.