Website TL Consulting

We are looking to hire strong Data Engineers for our tier-1 Banking and Finance client for long term contracting opportunities . This role will sit within their digital teams with opportunities to work with cutting edge technologies.

TL Consulting Group is an independent Australian professional services company specializing in providing technical IT solutions to Australia’s leading organisations. Originally established to address an absence of technical & logistical capabilities in the testing space. TL has since evolved to offer a broad spectrum of specialist IT services to a range of multi-tier clients.

As a Data Engineer, supporting the Data enablement chapter within our client’s Business Transformation, your mission is to build dynamic data solutions to support all modalities of data for a range of use cases.

Your key accountabilities will include:

·       Building real-time analytical capability to power

·       Experiences within the mobile app

·       Informing marketing and servicing messaging

·       Enriching data lake

·       Build data quality automated frameworks across a multi-cloud data and on premises environments

·       Building highly optimized data models with multiple interface types for data consumers


Working in an agile framework with a team of Data Engineers to deliver data solutions for transformation including:
Building optimized data solutions and ingestion patterns with considerations for security and data governance
Building data pipelines and a real-time data eco-system to provide interactive customer experiences that will feed data into other systems via multiple interface types.
Define and publish the data architecture standards for all applications and infrastructure across the portfolio
Foster collaboration across teams, functions, regions, and divisions using a range of influencing and negotiation strategies to establish mutually beneficial partnerships with key stakeholders

Cloud based data engineering experience
Proven successful building large data solutions
Ability to work collaboratively with technical and business teams
A passion to learn
Implement and maintain a high volume and highly available data pipeline for transporting cloud application logs to an enterprise logging platform (Java, Apache Beam, Redis, GCP Dataflow)
Demonstrating and promoting best practices for data development in non-data areas
Collaborate and contribute our client’s Data Engineering chapter, help develop best practices, patterns, and provide guidance and mentoring to more junior engineers


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