Marsh

Global Cyber Data Lead

Marsh

Dublin, County Dublin, Ireland (Hybrid) · Full Time

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Experience
11+ yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
Hybrid
Resume
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Job description

Position Overview

We are looking for an accomplished Data Practitioner to lead our Cyber Data Engineering team at Marsh in Dublin, Ireland. This hybrid role requires a minimum presence of three days per week at our office. The successful candidate will guide our cyber data environment, mentor engineers, and collaborate closely with senior leadership and stakeholders to ensure project delivery aligns with business requirements.

Key Responsibilities

  • Leverage extensive data expertise to quickly assimilate and develop a strategic plan for delivering impactful data solutions on Marsh's common infrastructure, with a focus on Databricks.
  • Oversee the design, development, and deployment of scalable data frameworks supporting layered data architectures.
  • Provide mentorship to the data engineering team to cultivate technical excellence, teamwork, and a culture of continuous improvement.
  • Work collaboratively with business units to promptly create data solutions responsive to changing needs.
  • Partner with central platform teams to enhance data operations through new feature implementations ensuring efficiency and reliability.
  • Champion DevOps and DataOps best practices, including Git version control, pipeline deployments, and continuous integration/continuous delivery workflows.
  • Keep current with emerging technologies and industry trends to advance data engineering standards and practices.

Required Qualifications

  • At least 10 years of leadership experience in data roles.
  • Advanced proficiency in SQL and Python, including scripting and automation capabilities.
  • Substantial hands-on experience with cloud data platforms such as Databricks, Snowflake, Synapse, and major cloud providers including AWS, Azure, or GCP.
  • Proven knowledge of Git, CI/CD systems, and DevOps/DataOps methodologies.
  • Strong communication skills in English, both spoken and written.
  • Ability to proactively resolve complex data challenges and issues.

Differentiators

  • Track record of excellence in both technical and business-centric roles.
  • Experience in high-paced, client-oriented, or consulting environments.
  • Proven leadership and mentoring skills.
  • Possession of Databricks Certification.
  • Familiarity with DBT (Data Build Tool).
  • Strong enthusiasm for personal and team growth and learning.
  • Experience developing data governance frameworks and managing metadata.
  • Ability to translate business objectives into effective, scalable technical solutions.

Company & Culture Highlights

  • We support your professional growth through development opportunities, engaging projects, and encouraging leadership.
  • Our inclusive, dynamic culture empowers you to collaborate with talented peers and make meaningful impacts on clients and communities.
  • We offer a broad range of career paths as well as benefits and rewards designed to enhance personal well-being.

Diversity & Inclusion Commitment

Marsh values diversity and inclusivity, striving to attract and retain a workforce representing varied ages, backgrounds, disabilities, ethnicities, family statuses, gender identities, nationalities, and other protected characteristics. We are an equal opportunity employer committed to providing reasonable accommodations for candidates with disabilities throughout the recruitment process.

Work Arrangement

We promote a hybrid working model blending remote flexibility with in-person collaboration and growth. All employees are expected to be onsite or client-facing at least three days weekly, with at least one designated "anchor day" for entire teams to gather in the office.

Tools & software

Git required Amazon Web Services AWS required GCP required Microsoft Azure required Snowflake required Databricks required dbt required

How they work

Communication Teamwork & Collaboration Problem Solving Leadership Learning Agility

Languages

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