Monocle Data Engineer

at  Monocle Solutions

EXPAND YOUR HORIZONS

Imagine being a data and programming guru and understanding the intricacies of banking and insurance. At Monocle, we believe work is more than a job. It is a chance to make a difference in the world of finance. An opportunity to fulfil your potential. To make friendships with ambitious, positive, like minded people. To gain invaluable industry experience and learn critical skills that will make you a highly sought-after management consultant. Monocle strives to provide our clients with a cradle-to-grave implementation approach. This means that we not only propose fit-for-purpose solutions, but we also execute the development and implementation of the technical infrastructure required to realise the full benefit of these solutions.
Monocle is a people-centric, independent consulting firm, specialising in banking and insurance. We understand that our greatest asset is our people and because of this, we do things a bit differently.

MONOCLE’S EMPLOYEE VALUE PROPOSITION:

Monocle embraces an ongoing and active approach to amplifying the talents of our people, empowering them to unlock their full potential and feel fulfilled in their careers. Our vibrant culture thrives through our shared growth mindset, collaboration, support, and social connection, fostering a space where everyone can flourish. We are committed to continuous learning and provide ongoing technical training, industry certification support, and personal development opportunities through mentorship and executive engagement. Ultimately, we strive to create an environment that nurtures ambition, supports well-being, embraces diversity, upholds integrity, and inspires individuals to make a positive and lasting impact on the world around us.

YOU WILL BE RESPONSIBLE FOR THE FOLLOWING DUTIES, BUT NOT LIMITED TO:

• Design and implement scalable data pipelines using Cloud services such as Glue, Redshift, S3, Lambda, EMR, Athena, Microsoft Fabric & Databricks.
• Develop and maintain ETL processes to transform and integrate data from various sources.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Optimise and tune performance of data pipelines and queries.
• Ensure data quality and integrity through robust testing and validation processes.
• Implement data security and compliance best practices.
• Monitor and troubleshoot data pipeline issues and ensure timely resolution.
• Stay updated with the latest developments in Data Engineering technologies and best practices.