Job Description
Senior Data Engineer. Java/ Python/ AWS. Investment Management. £130,000 + Discretionary Bonus and Benefits.
The Data Office team at my client is playing a key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will work with smart, talented people across the business. They will expect you to be agile and to think outside the box. In return, they will give you challenging work that makes an impact and brings opportunities to learn and grow, and a collaborative culture that encourages every member of the team to bring their point of view to the table—because that is how they help their clients succeed.
You will be an individual contributor on the Analytics and Data Platform engineering team responsible for architecting, building, testing, and maintaining the data platform.
You will be responsible for:
- Contributing to the platform’s architectural design
- Development and testing of the integration, modelling, data persistence and querying tools and analytical systems
- Data pipeline implementation, maintenance and testing
- Metadata management processes and tools
- Monitoring the overall performance and stability of the pipelines
- Implementing data curation, metadata management and data quality tooling
- Engaging with our business and technology partners to ensure that the platform fully meets the firm’s needs
Preferred Technical experience/skills
- Extensive experience working as a Java or Python developer.
- Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services.
- Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT.
- Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.),
- Experience on RDBMS like PostgreSQL would be a plus.
- Experience building modern enterprise-wide data and analytics systems in a financial services organisation with an understanding of the asset management business and/or financial markets
If you are interested to learn more, please send a CV for immediate consideration.