MT| Senior Data Engineer

About CBTW

CBTW is a global independent tech consultancy group. With a team of more than 3,000 talented tech specialists on the ground in over 35 cities across Europe, the USA, Asia, Australia and Africa, we serve clients of all sizes. We believe collaboration betters our world. Our unique open ecosystem model allows us to deliver end-to-end tech solutions.

About Our Partner

Our Partner is an Australian & New Zealand-owned consulting firm. Pioneering AI-first solutions, our partner is a next-gen consultancy that blends brilliant thinkers with expert engineers, transforming businesses through data, digital, cyber security, and cloud expertise.

• Possess solid knowledge of data engineering practices, demonstrating a passion for quality and best practice. 
• Adopt a continuous learning mindset, proactively seeking out and working on your areas of self development (technical & non technical). 
• Support the adoption of modern cloud-based data platforms (with a clear path into Databricks - including support for certification)  
• Be trusted to own and deliver stories and deliverables end-to-end, delivering quality production-ready outputs. 
• Write well-tested, automated code — building unit tests and automation flows as standard practice, not an afterthought. 
• Understand how project stories and deliverables fit into the broader project context, pre-empting different types of issues and scenarios that may be encountered. 
• Work closely with SMEs, testers and end users, keeping communication proactive and surfacing blockers early. 
• Contribute actively in team discussions - bringing ideas and building a reputation for quality work as a trusted, collaborative team mate.  

• Strong SQL skills (data modeling, query optimisation, stored procedures). 
• Design, develop and maintain scalable ETL/ELT pipelines for batch and streaming data.  
• Experience with at least one programming language: Python, Java, or Scala (Python preferred) and experience with Oracle 
• Solid understanding of Data warehouse concepts (star schema, slowly changing dimensions)  
• Knowledge of version control (Github)  
• Familiarity with cloud platforms (AWS, Azure, GCP) or platforms like Snowflake, Databricks.