Data Engineer

The Data Engineer, reporting to the Data Engineering lead, is responsible for building our data engineering solutions, including data models, data ingestion, ETLs, data storage, and data delivery.

You will follow best practice data engineering ways of working and will work closely with other technical teams as well as teams across the business and our external partners to design and deliver technical data engineering solutions. 

Key Responsibilities;

• Contribute to the refinement and delivery of the Data Roadmap

• Provide technical advice, development and mentorship within the Data Platform Team

• Lead data engineering projects end-to-end, including requirement gathering, solution design, leading the team to deliver while managing stakeholders.

• Implement and champion Data Engineering ways of working including and not limited to automated testing, CB/CI, and continuous deployment.

• Lead the end-to-end release and deployment process for the Data Warehouse

• Work with the infrastructure team to maintain all Data Warehouse Environments

• Provide support to the Data Platforms Lead by applying a technical lens in the assessment of team priorities and work effort

• Act as a champion for continuous improvement and optimisation

• Help design, then build, implement, and maintain cloud-first Data Pipelines and Integrations, for existing and new data sources across a variety of platforms

Key Stakeholders;

• BA’s and Data Engineers across the Data team

• BA’s and Architects in the technology team

• Business teams

• Technology partners

Qualifications

• Relevant IT related degree or certification/s. A degree in a related discipline is preferred

Experience

• Hands-on data engineering expertise. Experience in building a data ingestion, transformation, and egress framework will be highly advantageous

• Knowledge of best practices for data warehousing, data management and architecture, with significant experience in data pipelines, frameworks, tools and technologies and their use in business contexts

• Exposure to developing technical designs, including data profiling, cataloguing, and mapping exercises

• Experience in the design and build of APIs (REST/SOAP) to push and pull data from various data systems and platforms

• Familiar working with DevSecOps tools, methodologies such as CI/CD with GitHub, and Azure DevOps

• Ideally you will have good knowledge of the Azure Data platform (Azure Synapse, Data Factory, Data Bricks, Data Lake, Power BI) and Azure cloud data technologies (Spark, ADLS2, CosmosDB, AKS, AEH).

Our Principles

Do what’s right​
We have good intent and we do the right thing

Bold and courageous​
We challenge, evolve and innovate for sustained success

Own it and deliver​
We’re accountable

Win together​
We collaborate and encourage each other to thrive

Celebrate success​
We appreciate and celebrate our achievements

How to apply

Select the 'Apply' button above to send your resume through to the Talent Acquisition team.

Angle Auto Finance is committed to attracting, retaining and strengthening the performance of a diverse, equitable and inclusive workforce. It is our commitment to ensure equal employment opportunities without discrimination or exclusion on the basis of cultural heritage, colour, religion, citizenship status, age, sex, sexual orientation, gender identity, or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information or any other basis protected by law.