Key accountabilities and responsibilities
- Assisting and Contributing to the delivery of software that delivers a business outcome and is designed, implemented and tested to the team s standards as per the SDLC for the Data Platform.
- Provide technical assistance in enhancing existing data platform artefacts and infrastructure, carrying out continuous improvement.
- Providing a quality service and product to customers and stakeholders, further developing skills built through significant practical experience or training.
- Adapting, understanding and following data engineering best practise.
- Demonstrate a good sense of ownership and commitment to build efficient / scalable / extensible / robust software/data platform.
- Working within established frameworks and procedures, with the freedom to interpret them to solve a range of problems.
- Delivering outcomes that are clearly defined, using discretion over how to achieve them.
- Contributing to self and team improvement discussions.
- Participating in the development of solutions to the end consumer, being part of a high performing team comprising of requirements gathering, data modelling, data integration, software engineering, testing and release oversight.
- Building and maintaining strong relationships with key stakeholders across the business and other teams across Asset Management Technology & Change.
Knowledge, Skills, Experience & Educational Qualification
Knowledge & Skills (Key):
- Demonstrate software engineering skills with experience in SQL, C# and the .Net Framework
- Knowledge of software patterns and principles.
- Working with some of the following programming and scripting languages: SQL, Python, Java, PowerShell, JavaScript.
- Working with data on Azure stack, including SQL and no-sql DBs and Azure Data factory pipelines
- A good understanding of DevOps principles and experience in building CI/CD pipeline.
- Proactively manage own delivery across parallel initiatives .
- Data exploration and analytical skills, that enable you to solve new problems and understand existing software through investigation.
- Experience in dealing with large data sets and how to analyse them.
- Good interpersonal skills, with the ability to communicate clearly and effectively, both written and orally, within a project team.
Knowledge & Skills (Desirable):
- Experience to financial markets & asset management processes and understand analysis into a wide variety of asset classes and associated analytics (e.g. Equity, Fixed Income, Private Assets etc.)
- Experience in using Databricks for data ingestion or transformation.
Experience:
- 6+ years of total experience in software engineering.
- 3+ years of latest/recent experience in a data engineering role.
- Experience of contributing to the delivery of software in a team that utilises Azure PaaS technologies, security and delivery via Azure DevOps.
- Experience of API gateways such as Apigee or Azure API Management.
- Experience of delivering change using Agile methodologies.
- Foundational understanding of the components of Investment Data (Transactions, Positions, Instrument T&Cs, etc)
Educational Qualification:
- Graduate in any discipline.
