Data Engineering & Analytics Tech Lead

Department: Technology

Employment Type: Permanent

Location: Dublin

Description

Lead the design, delivery, and operations of high-impact data and analytics solutions for an innovative healthcare client. You’ll manage a team of data engineers, analysts, and scientists, driving innovation in data infrastructure, tools, and reporting. This role blends strategic vision with hands-on technical leadership, fostering collaboration, mentoring talent, and ensuring best-in-class data products that support healthcare business goals.

Key Responsibilities

Partner with the Group Chief Data Officer to shape and execute the company's Data Strategy, aligning with business goals and driving data-informed decision-making
Work cross-functionally to uncover business challenges and translate them into actionable insights through analytics
Implement and uphold Data Ops best practices to ensure reliable, high-quality data availability
Manage and document optimized data pipelines, reporting tables, storage solutions, and model deployments
Manage and maintain data infrastructure including Azure, dbt, Microsoft Fabric, and related ETL/ELT, ML/AI, and storage tools
Advance Data Science and ML/AI Ops capabilities, guiding use case development, model deployment, and pipeline optimization
Maintain centralized documentation and code repositories for all data solutions
Collaborate with product owners to prioritize sprint features and manage technical requirements
Ensure ongoing compliance with data governance, security, and architectural standards
Lead a high-performing team of data engineers, analysts, and scientists
Provide mentorship, guidance, and feedback to foster a collaborative and growth-oriented culture

Skills, Knowledge and Expertise

5+ years’ experience in senior data engineering or similar roles within fast-paced, data-driven environments
Advanced degree (Master’s/PhD) in Science, Engineering, Computer Science, or quantitative field
Technical background with expertise in data engineering, machine learning, statistics, Data/ML Ops and analytics
Proficient in SQL, Python, PySpark, and R
Deep experience with modern data platforms including Azure, Microsoft Fabric, Databricks, dbt, and Power BI
Proven track record delivering solutions across cloud, on-prem, and distributed systems

Benefits

Bonus
Pension

Data Engineering & Analytics Tech Lead

Benefits

Job Description