Hybrid requirements: This role has flexible working patterns.
Renaissance Global are recruiting for a Mid-Level Data Engineer to join our growing team.
Working as part of the Data Engineering team you will be responsible for the design and management of our data and data systems ensuring alignment with strategy and surfacing meaningful data insights. The role will primary be focussed around data format, data quality, data privacy, data sovereignty and defining the data standards that other areas (e.g. Stream Aligned teams) will follow. You will also be responsible for simplifying highly technical and complex information for nontechnical users to understand in the form of dashboards, data visualizations, regular and impromptu reports, and data querying tools for users to get the information they require.
Working as part of a platform team the Data Engineer role involves collaborating closely with everyone within the technology team and also the wider business (including data scientists, statisticians, cloud infrastructure engineers, developers, architects, analysts, product owners and the leadership team).

SKILLS AND EXPERIENCE REQUIRED:

To be considered for the role of Data Engineer , we are looking for someone with experience with cloud-based data platforms such as Azure or AWS.

When looking at the responsibilities can be broken down into the following:
Ability to identify and implement internal improvements around scalability, optimal data delivery and automation capabilities.
Develop a set of data guidelines and standards and support other teams in their usage and adoption.
To develop, deploy and maintain BI tools and interfaces developing and maintaining custom visuals and dashboards that provide insights into key business metrics and trends that enhance the user experience and facilitate data exploration.
Simplifying highly technical language and complex information and provide quantifiable solutions to complex data problems.
Write and maintain queries and scripts to extract, transform and load data from various sources into various outputs conducting testing and validation to ensure quality, accuracy and reliability.
Produce technical documents on database content and map various databases used in the organisation.
Develop, design and analyse data architecture and data models that support efficient data processing and analysis.
Ensure optimal performance of our data systems and platforms.
Knowledge of (or experience) using CI/CD pipelines
Collaborate with stakeholders to identify and define key performance indicators (KPIs) and data sources.