Job Description

Key accountabilities and responsibilities Contributing to the delivery of software that delivers a business outcome and is designed, implemented and tested to the teams standards as per the SDLC for the Data Platform. Providing a quality service and product to customers and stakeholders, further developing skills built through significant practical experience or training. Understanding and following data engineering best practise. Offering peer review and challenge within the team, to ensure that the most appropriate solution is delivered. Demonstrate a strong sense of product ownership and commitment to build 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 team improvement discussions. Participating in the development of complete solutions to the end consumer, being part of a cross functional 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 (Key): Demonstrate software engineering skills with experience in SQL, C# and the .Net Framework Working with data on Azure including SQL and no-sql DBs and Azure Data factory pipelines Working with some of the following programming and scripting languages: SQL, Python, Java, PowerShell, JavaScript. A good understanding of DevOps principles and experience in building CI/CD pipeline. Knowledge of software patterns and principles. Proactively manage own workload across multiple 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 in Snowflake. Experience: 8+ years of total experience in software engineering. 4+ 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.