Construo
Construo
Construo is a collaborative platform for the construction industry, bringing professional knowledge-sharing together with business and career tools. Its expert communities let members ask questions, vote on answers, and build reputations, while company profiles, job listings, and networking help construction professionals find work and grow their businesses. Construo also describes plans for a marketplace where members can buy and sell construction products and services.

Senior Data Engineer, Agentic Development

Build AI-assisted data pipelines, models, and ETL services for a multinational financial client. Guide agent-generated code across Databricks, dbt, SQL, Python, and CI/CD.

Apraksts

  • Build and maintain data pipelines with code produced by AI agents.
  • Create algorithms that turn data into useful information.
  • Investigate data issues and define logic for complex functions and scripts.
  • Review and guide AI-generated solutions to meet standards for simplicity, performance, and maintainability.
  • Take ownership of data models and quality, providing expert oversight of AI-produced results.
  • Identify new data sources and integrate them into data products.
  • Support data CI/CD, testing, and monitoring.
  • Develop prototypes and document key aspects of the work.
  • Build data models, ETL pipelines, and services for a multinational financial-sector client.
  • Establish and contribute to an effective agentic development framework.

Prasības

  • Hold a bachelor's, master's, or PhD in mathematics, statistics, physics, engineering, or another quantitative field.
  • Bring strong practical experience with dbt and SQL, the main data transformation stack on Databricks.
  • Have experience with or a strong interest in AI-driven, agentic development, and be comfortable directing and reviewing AI-generated code instead of writing it by hand.
  • Be able to establish and contribute to an effective agentic framework.
  • Have demonstrated Python programming experience; PySpark is an advantage.
  • Bring a software development background, including design patterns and unit testing, sufficient to review and validate AI-generated code.
  • Have demonstrated experience with data CI/CD, testing, and monitoring.
  • Communicate complex technical concepts and results clearly and in detail to non-technical audiences, both verbally and in writing.
  • Know data modelling, data quality, and data architecture concepts well.
  • Understand system design, data structures, algorithms, storage systems, and cloud infrastructure.
  • Experience with agile projects and collaboration tools such as Jira or Confluence is an advantage.
  • Experience in insurance, reinsurance, or financial services is an advantage.
  • Communicate well in English at B2/C1 level.

Priekšrocības

  • Competitive compensation package with potential performance-based bonus tied to company and individual results.
  • Remote work with flexibility and support for work-life balance.
  • Access to courses, workshops, and conferences for ongoing learning and development.
  • Health insurance.
  • Professional guidance and constructive feedback to support career growth.
  • Team-building activities.
  • An agile, dynamic working environment.

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