This Market Data team is looking to add a Senior Data Engineer to their team. The successful candidate will be working in close partnership with front office investment teams across the firm.
The role requires someone who is both analytical and technical as they will be responsible for the end-to-end search, procurement, integration and initial analysis of a steady stream of data that will drive investment decisions.
They are looking for someone who is passionate about data with a genuine love for problem-solving and idea creation. The role is fast-moving and varied, with plenty of opportunities to constantly improve, add to and change existing processes.
Candidates can expect to work with : MS SQL (lots), Python, C#, F#, Kafka, Pandas, Jupyter, PowerShell, OpenShift, ElasticSearch and more.
Skills Integrating and preparing large, varied datasets and creating generic processes for consuming, analysing and communicating the results of the data.
Working closely with stakeholders across the firm to turn data into critical information and knowledge that can be used to make sound decisions.
Digging into and exploring data; identifying features and issues, and communicating them to others in a clear and concise way.
Automating and improving processes; taking responsibility for data quality, monitoring, and anomaly detection.Designing, building and deploying tools used across the business and owning the projects end-to-end.
knowledge of data structures and algorithms and how they can be applied.Extensive experience querying, ingesting and manipulating large volumes of data using SQL.
Strong programming skills in any major Object Oriented language (C# preferred) and any other language(s) (Python, PowerShell preferred).
A degree in Computer Science / Engineering and at least two years of commercial experience.PreferredKnowledge and understanding of web technologies.
Familiarity with data visualisation tools.Comfortable developing across multiple platforms.Experience with Apache Kafka or similar stream processing platforms.
Experience working with a variety of data storage and manipulation tools such as Pandas, Jupyter, ElasticSearch & Kibana.HFDEHK1