We are seeking a Data Engineer to join our Data & Analytics Team at Mercer. You will be joining us in building Oliver Wyman’s new hub in Lisbon.
This is a hybrid role that has a requirement of working at least three days a week in the office.
Job Overview:
You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions. Strong experience with Databricks and solid coding skills in SQL and Python are essential to succeed in this role.
We will count on you to:
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
Develop and maintain automated data pipelines for efficient data collection, transformation, and delivery adhering to business requirements.
Implement systems and processes to monitor and ensure data quality and integrity across production data sources.
Design data integrations and data quality frameworks while applying data governance principles.
Partner with business units and engineering teams to define long-term data platform architecture strategies.
Document technical designs, workflows, and best practices to support team knowledge sharing and system maintenance.
Provide technical guidance and mentorship to peers and other stakeholders as needed.
What makes you stand out?
Bachelors / MS in a quantitative discipline e.g., applied mathematics, statistics, computer science, information systems or related field
2+ years of experience in experience in data engineering, software development, or related roles.
2+ years of hands-on experience with Databricks and other ETL tools such as SSIS, Azure Data Factory, Alteryx, or Knime.
2+ years of SQL/PLSQL development experience
Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).
Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).
Proficiency with languages like Python or R
Ability to create compelling and insightful visualizations using tools like Tableau, Power BI, or other visualization platforms
Familiarity with relational and NoSQL databases, and experience with data warehousing concepts.
Experience with multiple RMDB’s such as SQL Server, Oracle
Skills and Attributes:
Excellent problem-solving and critical thinking skills required
Ability to drive exploration and draw conclusions from multiple data sets
Strong spirit of innovation, self-starter, independent, and with ability to come up with solutions to meet business problems
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Strong desire to learn new skills and pass knowledge acquired onto others
Keen attention to detail with deep quantitative and analytical skills and demonstrated capacity to solve problems and enhance reporting
Strong relationship building skills and ability to build alignment among customers and key stakeholders with demonstrated experience influencing without authority
Ability to work effectively in a fast paced, deadline driven, highly dynamic atmosphere and react quickly to changes and shifting priorities.
Effective communication skills and ability to translate numbers into a story
You need to be curious by nature, understand how data is produced in our various underlying systems and how reporting and analytics content is compiled so that data can be turned into actionable business insights to support the firm’s strategy
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.
As of November 7, 2024, the Business Group Global Boilerplate Language, Country Specific Regulatory Language (Ex. US EEO Statement) OR Global Diversity Statement, and Global Hybrid Work Policy Statement have been automated except for:
Marsh McLennan Agency
Mercer Marsh Benefits
Skills Required
- 2+ years of experience in data engineering, software development, or related roles
- 2+ years of hands-on experience with Databricks and other ETL tools
- 2+ years of SQL/PLSQL development experience
- Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
- Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka)
- Proficiency with languages like Python or R
- Ability to create compelling and insightful visualizations using tools like Tableau or Power BI
- Familiarity with relational and NoSQL databases and experience with data warehousing concepts
- Experience with multiple RMDB's such as SQL Server, Oracle
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
-
Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
-
Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
-
Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.







