Senior Data Engineer
advertisedjoblocation, Australia
Singtel
The Singtel Group, Asia's leading communications group provides a diverse range of services including fixed, mobile, data, internet, TV, infocomms technology (ICT) and digital solutions.We don’t sit back and wait for the future to happen, we are out there crafting our own path through new technology, innovation, and investment. We are truly a challenger brand, with challenger spirit.
The Customer Success Insights is responsible for detailing and analysing customer data, looking at how we interact with Customers, detailing performance measures across Customer Success Operations, looking for financial benefits to the business and analysing metrics to identify emerging patterns of behaviour for both our customers and our frontline experts. You will be part of a growing Engineering Community at Optus and will have the opportunity to work on impactful business projects.
The role of a Senior Data Engineer is responsible for modelling raw data into clean, tested, and reusable datasets to make it easier for business data teams and other business partners to view and understand our data in a warehouse or database.
In collaboration with Data Governance, you will also be responsible for producing and maintaining data documentation to ensure that everyone uses the same definitions and language. This involves providing identifiable and understandable descriptions of data as well as exposing them in a way for all consumers to find answers to their queries unassisted.
Ready to reimagine your career at Optus?
- Prioritise efficient, timely and accurate delivery of data sets against business requirements and to work across various data platforms and APIs to create pipelines.
- Design, build, and optimise the data architecture and Extract, Transform, and Load (ETL) pipelines to make them accessible for Data Analysts, Data Scientists, and business users to enable data-driven & informed decision-making.
- Write data transformation jobs through using python and SQL based code in cloud platform.
- Provide mentorship for the consolidation of information from across the business to present a comprehensive view of product performance and customer behaviour.
- Closely collaborating with the business partner teams to share insights and provide requirements and recommendations on when advanced data models could be developed and implemented to improve business outcomes.
It starts with you!
- Tertiary qualifications in a quantitative field (e.g., Data Engineering, Data Science, Mathematics) and equivalent practical experience in a relevant background.
- Experience in an IT or data environment, working with cloud-based data solutions.
- Experience working with relational databases and data lakes, with an emphasis on data warehousing, performance tuning, and analytics use cases.
- Proficiency in analytical techniques such as statistical modelling, experience in advanced SQL, particularly in modelling and querying optimisations, plus hands-on experience with ETL/data pipeline development experience.
- Superb communication, interpersonal and presentation skills with proven ability to work through sophisticated issues to reach an outcome.
- Flexibility to handle conflicting priorities and balance demands on time, be a proactive self-starter, with the ability to use a high level of initiative, attention to detail and accuracy.
The good stuff …
- Competitive salary and performance incentives
- Discounts to Optus products and services, and to over 400 retailers Australia-wide
- Training, mentoring and development opportunities (ask us about OptusU!)
- Up to five days of Volunteer Leave per year
- A “connected” day for you to use to connect to something you are passionate about
- Hybrid ways of working [Delete for Retail and Contact Centre]
- Vibrant campus life, variety of facilities including restaurants, cafes, gymnasium, GP, and post office
- Sydney Campus; 20mins from CBD via our Optus bus. Our 999 Metro Connect service connecting you to and from Macquarie University Metro Station to Optus Campus every 6-8 minutes, morning and afternoon!
At Optus, we have an ambitious goal to be Australia’s most loved everyday brand. Curious about our culture? Go behind the scenes with our people by searching #OptusLife on LinkedIn.
At Optus, we are strengthened by others and that means valuing diversity and saying ‘yes’ to embracing individual differences. We are committed to ensuring that our application process provides an equal employment opportunity to all job seekers, including individuals from diverse gender, cultural and linguistic backgrounds, individuals with a disability, individuals identifying as being part of the LGBTQIA+ community, individuals who may have served in the armed forces or who identify as Aboriginal and/or Torres Strait Islander. If you require any adjustments or accessibility support to participate fairly and equitably in the recruitment process, please email AccessibleRecruitment@optus.com.au along with your preferred method of contact and we will be in touch.
For more information on Diversity, Inclusion & Belonging at Optus, please visit https://www.optus.com.au/about/inclusion-diversity.
#LI-DD1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Data governance Data Warehousing Engineering ETL Mathematics Pipelines Python RDBMS SQL Statistics
Perks/benefits: Career development Competitive pay
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open MLOps Engineer jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Power BI Developer jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Product Manager jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open PhD-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs