Job Opportunities API

About us  At Davy, it’s the unique talents of all our people that have been the foundations of our success for 100 years. As we continue to grow, so do you. Because you are not just part of our team – you are a key player in shaping our future.   At Davy, you are the difference.    Established in 1926, the Davy Group sits at the heart of wealth and capital in Ireland, providing a broad range of services to high-net-worth individuals, self-directed investors, small-to-medium enterprises, credit unions, corporations, and domestic & international institutional investors.   Our culture is shaped around three values, which are at the heart of everything we do: client success, one Davy, and building a proud legacy. Sharing the same goals, we work together to deliver exceptional outcomes for our clients. As part of a team of over 900, you will be encouraged to learn and to grow, both professionally and personally.   About the role We’re seeking a Senior Investment Data Engineer with deep expertise in Investment data workflows. You’ll partner closely with business subject matter experts, analytics teams and other engineers to shape a scalable, robust data foundation, enabling both internal reporting and customer-facing insights. In the role, the successful candidate will:  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. Requirements About you   We are looking for somebody who has the following background and skills:  Basic Qualifications: 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. Preferred Qualifications: Master’s degree in Computer Science/Information Systems or related field SnowPro Advanced certification Our Data Stack: Investment Systems (Factset, Bloomberg, Figaro) ELT (Snowflake, Kerbi) Infrastructure (Azure) BI (PowerBI), SNOWFLAKE Dashboards Development Environment: Azure DevOpS Hybrid: In this role, our hybrid experience