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 reconciliation processes.
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 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.
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. Push for automated testing, improved Azure DevOps pipeline deployment, and other forward‑thinking approaches to maintain a future‑proof data foundation.
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 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.
What we offer
At Davy, our people are our biggest investment. In today’s fast‑moving world, we know it’s important to feel secure and empowered. That’s why Davy benefits support you through all of life’s stages, offering health and wellness, flexible working options, flexible benefits allowance, learning and development opportunities, through to assisted retirement planning.
Health and Wellbeing
Psychological safety, emotional wellbeing and support are a priority at Davy. We offer a comprehensive Employee Assistance Programme (EAP) and mental health first aid. Our Sports & Social teams promote physical wellbeing and social connection.
Reward and Recognition
We offer a competitive remuneration package to include salary, bonus, pension and a host of additional benefits to protect you and your family when it matters most.
Growth and Development
Our award‑winning L&D function supports you and your growth at Davy. We offer a comprehensive range of professional and personal development opportunities. Our culture supports learning, and we encourage you to explore more at Davy.
Positive Workplace
Our workplace is inclusive, diverse, and offers everyone a sense of belonging. We are flexible and continue to support a hybrid working model. You will get to be your best at Davy.
Important Information
Davy is an equal opportunities employer, committed to fostering an inclusive and diverse workplace. We value diversity in both background and experience, and even if you don’t meet all of the requirements outlined in the job description, we still encourage you to apply. We review all applications received. As part of our commitment to creating an accessible environment, we want to ensure that everyone has an equal opportunity to participate in the interview process. If you require any reasonable accommodations, please let us know, and we will do our best to make the necessary arrangements.
Appointment to this role is subject to the candidate's eligibility to work in Ireland.
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