Senior Data Engineer
First seen by Alion on Oct 12, 2026.
Responsibilities:
● Support the business’s goal of democratisation of data and data products.
● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.
● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.
● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.
● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases.
● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.
● Implement cloud-based scalable and reliable data pipelines at significant scale.
● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.
● Build and maintain streaming and batch data pipelines.
● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.
● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.
● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.
● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.
● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.
● Adhere and have practised Agile Methodology such as Scrum.
● Implement adhering to Master Data Management Best Practices and Principles.
● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.
Requirements:
● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.
● Experience in data-related infrastructure deployments using Terraform Cloud.
● Experience in using Git for version and release management with knowledge in branching strategies.
● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.
● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.
● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.
● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.
Skills
Data Products, Health Promotion, Business Data Analysis, Providing Sales Data, Business Stakeholder Management, Design, Engineering Product Design, Data Pipeline, managing large volumes of data, Audience Analytics, Relaxation, PyTorch, Cloud Infrastructure, Anomaly Detection, Pattern Recognition, Metrics Dashboard