Technical Lead - Data Engineering

Company Overview Founded in 2014, and listed on the ASX since 2015, Superloop’s purpose is to enable better internet for Australian homes and businesses, by enabling challenger retail brands to take a larger share of the market, leveraging Superloop’s Infrastructure-on-Demand platform. Superloop operates in three segments of the market: consumer connectivity, business network and security solutions, and wholesale connectivity, all of which leverage Superloop’s investments in physical infrastructure assets including fibre, subsea cables and fixed wireless, as well as Superloop’s software platforms. Hundreds of thousands of homes and businesses rely on Superloop every day for their connectivity needs. Visi t www.superloop.com to learn more. Business Unit Overview The Strategy and Transformation team develop strategies and implement tools, systems and processes to drive long-lasting business value and performance for Superloop. There are five key pillars to the Strategy and Transformation team including: Data and Analytics; Strategy; Transformation; PMO; and Mergers and Acquisitions. If you have a passion for making significant change and solving complex challenges in the telecommunications industry, come join our team at Superloop. Role Purpose and Accountabilities The Data and AI team is looking for an experienced Data Engineer Tech Lead. In this role, you will play a crucial part in developing data pipelines and maintaining the data warehouse, including development of tooling to improve infrastructure and the ongoing management of ETL processes and the integration of new data sources. In particular, the role will be accountable for Be a conduit between analysts and system developers, collaborate with cross-functional teams to understand data requirements and design efficient data warehouse solutions. Build and maintain data pipelines, ETL processes, and data ingestion workflows to ensure data accuracy, completeness, and reliability. Perform data profiling, cleansing, and transformation to prepare data for analytics and reporting. Monitor and optimize the performance of the data warehouse, addressing any issues or bottlenecks as they arise. Ensure data security, compliance, and governance standards are met, including data encryption, access controls, and audit trails. Collaborate with Data Analysts to support their analytical needs by providing clean and well-structured data. Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Qualifications and Experience Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). 5+ years of experience as a capable Data Engineer, with a strong focus on data warehousing and ETL processes Proficiency with dbt and data orchestration tools. Proficiency in Databricks ( or open source Apache Spark) for data warehousing and data processing. …