8 months ago
Lisbon, PortugalMid Level

Responsibilities

  • Design, build, and maintain scalable data pipelines and infrastructure.
  • Develop automated pipelines for data collection, transformation, and delivery.
  • Improve data models that support business intelligence tools and data accessibility.
  • Implement monitoring processes and frameworks to ensure production data quality and integrity.
  • Design data integrations while applying data governance principles.
  • Collaborate with business units and engineering teams on long-term data platform architecture.
  • Document technical designs, workflows, and best practices.
  • Provide technical guidance and mentorship to peers and stakeholders.

Requirements

  • Bachelor’s or master’s degree in a quantitative discipline such as applied mathematics, statistics, computer science, information systems, or a related field.
  • At least two years of experience in data engineering, software development, or related roles.
  • At least two years of hands-on experience with Databricks and ETL tools such as SSIS, Azure Data Factory, Alteryx, or Knime.
  • At least two years of SQL/PLSQL development experience.
  • Familiarity with AWS, Azure, or Google Cloud Platform.
  • Experience with big data technologies and frameworks such as Hadoop, Spark, or Kafka.
  • Proficiency in Python or R.
  • Ability to create visualizations using Tableau, Power BI, or other visualization platforms.
  • Familiarity with relational and NoSQL databases and data warehousing concepts.
  • Experience with relational database management systems such as SQL Server and Oracle.
  • Strong problem-solving, quantitative, analytical, communication, collaboration, and stakeholder-influencing skills.

Benefits

  • Hybrid work arrangement requiring at least three days per week in the office in Lisbon.
  • Professional development opportunities, interesting work, and supportive leaders.
  • Inclusive and flexible work environment with collaboration and professional growth opportunities.
  • Benefits and rewards intended to support employee well-being.

Tech Stack

Apache HadoopApache KafkaApache SparkAWSAzureDatabricksGoogle Cloud PlatformKNIMEMicrosoft SQL ServerPythonRSQL

Categories

Data Engineering
Marsh & McLennan Companies

About Marsh & McLennan Companies

501-1,000 employees

Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.

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