Senior Data Engineer - Investment Management
Davy View all jobs
- Dublin
- Permanent
- Full-time
- Drive the end-to-end development lifecycle, leading efforts to design and maintain data models that power Davy's investment team analytics.
- Manage pipelines to ingest, transform and deliver investment data from multiple sources (including Factset and Bloomberg).
- Design and maintain data models for securities master, pricing, positions, transactions etc.
- Design data quality frameworks including validation rules and reconciliations processes.
- You'll ensure that our Snowflake environment is enabled to scale for growing data volumes and complex reporting needs.Guide engineer and analyst teams on Snowflake best practices and cost-efficient solutions, sharing your deep expertise to elevate the entire Product Development lifecycle. Encourage a culture of design and development excellence throughout.
- Work closely with Investment team to translate business requirements into robust solutions.
- You'll identify and develop processes for monitoring, alerting, and troubleshooting issues.
- Continuously evaluate and adopt new Snowflake capabilities, refining the stack to keep Davy at the forefront of cloud data innovation. You'll push for automated testing, improved Azure DevOps pipeline deployment, and other forward-thinking approaches to maintain a future-proof data foundation.
- Bachelor's degree in Computer Science/Information Systems or related field.
- 5+ years of experience in investment related data engineering or database architecture.
- Expert-level proficiency in Snowflake or similar cloud based data platforms features and components
- Strong foundation in dimensional data modelling with the ability to develop robust, scalable schemas for complex analytical use cases
- Strong proficiency in Python, SQL, and other data engineering technologies such as DBT. Hands-on experience with cloud platforms (Azure strongly preferred)
- Ability to work cross-functionally with data teams and investment teams. Strong communicator, able to explain technical concepts to non-technical stakeholders.
- Excellent communication and collaboration skills.
- Master's degree in Computer Science/Information Systems or related field
- SnowPro Advanced certification
- Investment Systems (Factset, Bloomberg, Figaro)
- ELT (Snowflake, Kerbi)
- Infrastructure (Azure)
- BI (PowerBI), SNOWFLAKE Dashboards
- Azure DevOpS
- Hybrid: In this role, our hybrid experience is designed at the team level giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule will be determined by the requirements of the development phase and the hiring manager.