Company:
Marsh Corporate
Description:
We are seeking a highly skilled Senior Data Engineer to lead the design and implementation of efficient data flows and infrastructure within our data platform. You will manage a small team of data engineers, collaborate closely with business and technology teams, and drive strategic data engineering initiatives that enable data-driven decision-making across the organization. This position will be based in Cluj-Napoca, Romania as a hybrid role that has a requirement of working three days a week in the office.
Marsh McLennan (MMC) has established its EMEA Technology Hub in Cluj, Romania, reflecting our commitment to innovation and excellence. This hub is central to our digital strategy, addressing emerging challenges and enhancing service delivery through advanced technology solutions that empower our clients and promote sustainable growth.
- Lead the design, development, and deployment of scalable data pipelines and architectures supporting layered data frameworks on modern data platforms.
- Manage and mentor a team of data engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
- Collaborate closely with business teams to rapidly develop data pipelines and analyses that meet evolving requirements.
- Partner with central platform teams to implement features that enhance data operations efficiency and reliability.
- Use and contribute to the data engineering toolset at Marsh, adhering to our best practices and standards while also helping to make improvements based on your experience and project requirements
- Drive adoption of DevOps/DataOps best practices, including Git version control, pipeline-driven deployments, and CI/CD workflows.
- Provide strategic guidance and technical leadership on data engineering best practices, cloud technologies (i.e. Databricks)
- Engage with stakeholders to address technical queries and promote data and analytics capabilities.
- Stay abreast of emerging technologies and industry trends to continuously improve data engineering practices.
- Excellent communication skills in both English and Romanian.
- 5+ years of experience in data engineering roles, including leadership or team management experience.
- Strong proficiency in SQL and Python, with advanced scripting and automation skills.
- Extensive experience with cloud data platforms such as Databricks, Snowflake, Synapse, and cloud providers like AWS, Azure, or GCP.
- Proven experience with Git, CI/CD pipelines, and DevOps/DataOps methodologies.
- Ability to identify and proactively solve complex data-related problems.
- Experience working in fast-paced, client-facing, or consulting environments is a plus.
What makes you stand out?
- Demonstrated excellence in both technical and business roles.
- Proven leadership and mentoring capabilities.
- Databricks Certification.
- Passion for growth and learning, both personally and for your team.
- Experience implementing data governance frameworks and metadata management.
- Strong ability to translate business needs into scalable technical solutions.
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.
Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.