Data Engineer Solution Specialist

We are seeking a talented individual to join our Marsh RISK team at Marsh ASIA . This role will be based in Manila, Philippines . This is a hybrid role that has a requirement of working at least three days a week in the office.

Marsh RISK works with stakeholders across the organisation to discover, define, design and deliver data solutions that drive business impact. As a Data Engineer Solution Specialist , you will help curate high-quality data assets, build scalable data and analytics solutions, and work with business and technology stakeholders to turn complex data into practical insights and recommendations.

We will count on you to:

• Curate, validate and maintain data quality standards across regional and global databases
• Develop and maintain data models, pipelines and scripts that support analytics and reporting needs
• Work with Business Analysts, Data Engineers, developers and architects to define requirements and shape scalable solutions
• Carry out exploratory and statistical analysis to identify patterns, test assumptions and inform decision-making
• Build and maintain analytical workflows from data ingestion through reporting and visualisation
• Create reports, visualisations and documentation for technical and non-technical audiences, while maintaining security, integrity and business continuity controls
• Develop algorithms to transform raw data into useful, actionable information. This involves cleaning, processing, and converting data into a format that can be easily analyzed.
• Build, test, and maintain database pipeline architectures. This includes designing and implementing data pipelines that move data from source systems to data warehouses or data lakes.

What you need to have:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or a related field
• 7+ years of experience in data engineering, analytics or related analytical roles
• Advanced proficiency in SQL and Python, with experience in data modelling, data mapping and ETL pipelines
• Well-developed skills in statistical analysis, hypothesis testing, experimental design and data visualisation tools such as Tableau, Qlik or Power BI
• Proficiency with version control systems such as Git or SVN
• Well-developed interpersonal and communication skills, with the ability to explain complex technical concepts to business audiences and work effectively across geographically dispersed teams

What makes you stand out:

• Experience with NoSQL databases and broader data engineering practices
• Understanding of industry and business processes that help place data insights in context
• Experience working collaboratively across IT, data science and business teams to align data initiatives with organisational goals

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being

Marsh Risk is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Marsh Risk, visit 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.