Data Engineer

Reposted 18 Days Ago
Be an Early Applicant
Beato António, Lisboa, PRT
In-Office
Junior
Fintech • HR Tech • Insurance • Consulting
The Role
The Data Engineer will design, build, and maintain data pipelines while collaborating with cross-functional teams to ensure data quality and governance, supporting data-driven decisions across the organization.
Summary Generated by Built In
Company:Mercer

Description:

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

Oliver Wyman 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, visit oliverwyman.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.

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
78,000 Employees
Year Founded: 1871

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.

Similar Jobs

Ayming Logo Ayming

Data Engineer

HR Tech • Business Intelligence • Consulting • Financial Services
Hybrid
Lisboa, PRT
1941 Employees

Devoteam Logo Devoteam

Data Engineer

Consulting • Cybersecurity
In-Office or Remote
Lisboa, PRT
9850 Employees

Natixis in Portugal Logo Natixis in Portugal

Data Engineer

Information Technology
Remote or Hybrid
Portugal
2007 Employees

Natixis in Portugal Logo Natixis in Portugal

Data Engineer

Information Technology
Remote or Hybrid
Portugal
2007 Employees

Similar Companies Hiring

Granted Thumbnail
Mobile • Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account