Oliver Wyman - Data Engineer - Mexico City

Company:

Description:

About Oliver Wyman

Oliver Wyman is a global leader in management consulting. With offices in 60 cities across 29 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. Our 7,000 professionals help clients optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman’s thought leadership is evident in our agenda-setting books, white papers, research reports, and articles in the business press.  Our clients are the CEOs and executive teams of the top Global 1000 companies.

Visit our website for more details about Oliver Wyman: www.oliverwyman.com 

Job Overview:

The Data Engineer 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.

This is a hybrid role that requires 2 days per week in our Mexico City office.  There is no option to be fully remote.

**Please submit CVs in English**

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

• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

• Design and implement data pipelines to automate data collection, transformation, and delivery for their specific needs

• Ability to understand and interpret data, including data structures, formats, and quality

• Designs data integrations and data quality framework. Understand and apply data governance principles to ensure data quality and integrity

• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

• Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.

• Provide technical guidance and support to team members and 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 experience with ETL tools commonly used in data engineering (e.g., SSIS, Databricks, Azure Data Factory, Alteryx, 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

• English fluency (written & spoken) required

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.

Marsh & McLennan Companies is a global professional services firm providing advice and solutions in the areas of risk, strategy and human capital. It is the parent company of a number of the world's leading risk experts and specialty consultants, including Marsh, the insurance broker and risk advisor; Guy Carpenter, the risk and reinsurance specialist; Mercer, the provider of HR and related financial advice and services; and Oliver Wyman, the management consultancy. With over 81,000 colleagues advise clients in 130 countries and annual revenue of nearly $19 billion, Marsh & McLennan Companies provides analysis, advice and transactional capabilities to clients in more than 130 countries. Its stock (ticker symbol: MMC) is listed on the New York, Chicago and London stock exchanges.

Marsh & McLennan Companies offers competitive salaries and comprehensive benefits and programs, career mobility, employee network groups, volunteer opportunities, and other programs. For more information about our company, please visit us at: www.mmc.com. We are committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, gender identity, gender expression or any other characteristic protected by applicable law.