Oliver Wyman - Data Engineer - Mexico City at Marsh

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

02 May, 26

Salary

0.0

Posted On

01 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, SQL, Python, ETL Tools, Data Quality, Data Governance, Data Integration, Cloud Platforms, Big Data Technologies, Data Warehousing, Visualization Tools, Problem Solving, Analytical Skills, Collaboration, Communication, Innovation

Industry

Insurance

Description

Company: Oliver Wyman Description: About Oliver Wyman At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments. As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. 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. Key Responsibilities: 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. Experience Required: 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 Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow 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.

Responsibilities

The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to support data-driven initiatives. They will collaborate with cross-functional teams to ensure the availability, reliability, and performance of data systems and solutions.