Senior Engineer - Investment Data Platform

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.