Join us as a Software Engineer
- This is an opportunity for a driven Software Engineer to take on an exciting new career challenge working in one of our data teams
- Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority
- It's a chance to hone your existing technical skills and advance your career
- We're offering this role at associate vice president level
What you'll do
In your new role, you'll engineer and maintain innovative, customer centric, high performance, secure and robust data solutions. You'll be working within a feature team and using your extensive experience to develop pipelines, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.
You'll Also Be
- Producing complex and critical solution rapidly and of high quality which adds value to the business
- Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
- Collaborating to optimise our engineering capability
- Designing, producing, testing and implementing our pipeline and transformation logic
- Working across the life cycle, from requirements analysis and design, through development to testing, deployment and operations
The skills you'll need
You'll need a background in engineering and an understanding of how your area of expertise supports our customers.
You'll Also Need
- Experience in multiple programming languages or low code data toolsets
- Experience developing and maintaining data pipelines using SQL and Python, and working with orchestration and transformation tools such as Airflow and dbt
- Proficiency in relational databases, SQL and stored procedures, with the ability to implement wellstructured data models and contribute to schema design
- Handson experience working with Azure data services including Azure Data Factory and Azure Synapse, to build and operate cloud-based data pipelines
- Experience working with Spark or PySpark to develop transformations for batch or streaming data workflows
