{"id":3095264,"url":"https://alion.io/job/marsh-mclennan-data-engineer","title":"Data Engineer","company":{"id":1769686,"name":"Marsh McLennan","domain":"marshmclennan.com","url":"https://alion.io/company/marshmclennan","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":32,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Oracle","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-03-31T00:00:00Z","employer_posted_date":"2026-03-31","last_verified_at":"2026-10-23T05:43:24Z","board_verified":true,"closed_at":null,"days_open":206,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":206},"description":"Company:\nMercerDescription:\nWe 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.\nThis is a hybrid role that has a requirement of working at least three days a week in the office.\nJob Overview:\nYou 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.\nWe will count on you to:\nCollaborates 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\n\nDevelop and maintain automated data pipelines for efficient data collection, transformation, and delivery adhering to business requirements.\n\nImplement systems and processes to monitor and ensure data quality and integrity across production data sources.\n\nDesign data integrations and data quality frameworks while applying data governance principles.\n\nPartner with business units and engineering teams to define long-term data platform architecture strategies.\n\nDocument technical designs, workflows, and best practices to support team knowledge sharing and system maintenance.\n\nProvide technical guidance and mentorship to peers and other stakeholders as needed.\n\nWhat makes you stand out?\nBachelors / MS in a quantitative discipline e.g., applied mathematics, statistics, computer science, information systems or related field\n\n2+ years of experience in experience in data engineering, software development, or related roles.\n\n2+ years of hands-on experience with Databricks and other ETL tools such as SSIS, Azure Data Factory, Alteryx, or Knime.\n\n2+ years of SQL/PLSQL development experience\n\nFamiliarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).\n\nExperience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).\n\nProficiency with languages like Python or R\n\nAbility to create compelling and insightful visualizations using tools like Tableau, Power BI, or other visualization platforms\n\nFamiliarity with relational and NoSQL databases, and experience with data warehousing concepts.\n\nExperience with multiple RMDB’s such as SQL Server, Oracle\n\nSkills and Attributes:\nExcellent problem-solving and critical thinking skills required\n\nAbility to drive exploration and draw conclusions from multiple data sets\n\nStrong spirit of innovation, self-starter, independent, and with ability to come up with solutions to meet business problems\n\nSelf-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight\n\nSelf-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts\n\nStrong desire to learn new skills and pass knowledge acquired onto others\n\nKeen attention to detail with deep quantitative and analytical skills and demonstrated capacity to solve problems and enhance reporting\n\nStrong relationship building skills and ability to build alignment among customers and key stakeholders with demonstrated experience influencing without authority\n\nAbility to work effectively in a fast paced, deadline driven, highly dynamic atmosphere and react quickly to changes and shifting priorities.\n\nEffective communication skills and ability to translate numbers into a story\n\nYou 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\n\nWhy join our team:\nWe help you be your best through professional development opportunities, interesting work and supportive leaders.\n\nWe 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.\n\nOur scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.\n\nAs 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:\n\nMarsh McLennan Agency\n\nMercer Marsh Benefits\n\nOliver 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. 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