Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Construo

Senior Data Engineer – Agentic Development focus

Construo

. Design, implement and maintain data pipelines, using AI agents to produce the code .

Posted 10/9/2026full-timeRemote • Spain, PortugalSenior💰 €50,000 - €75,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modeling, data quality, and data architecture, with strong hands-on experience in dbt and SQL on Databricks. Proficient in Python programming and familiar with AI-driven development, capable of guiding and validating AI-generated solutions while ensuring adherence to performance and maintainability standards.

Highest-signal resume keywords
Data ModelingSQLPython ProgrammingAI-Driven DevelopmentCI/CD Processes

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data PipelinesData TransformationAlgorithmsETL PipelinesData QualityData ArchitectureUnit TestingDesign PatternsData StructuresCloud Infrastructure
Soft Skills
Communication Skills
Tools & Technologies
DbtDatabricksJiraConfluence
Industry Keywords
Financial IndustryInsuranceReinsurance

Tech Stack

Tools & technologies
CloudETLPySparkPythonSQL

About the role

Key responsibilities & impact
  • Design, implement and maintain data pipelines, using AI agents to produce the code
  • Develop algorithms to transform data into useful information
  • Analyse data to identify issues and define the logic for complex functions and scripts
  • Guide and validate AI-generated solutions so they follow standards, focusing on simplicity, performance, and maintainability
  • Own data modeling and data quality, acting as the expert behind the AI that produces the results
  • Explore new data sources and integrate them into the data product(s)
  • Work with CI/CD processes for data, as well as data testing and monitoring
  • Create prototypes and documentation underlying main aspects of the work
  • Work on data models, ETL pipelines and services for a large multinational financial-sector client
  • Set up and contribute to an effective agentic development framework

Requirements

What you’ll need
  • You have a bachelor, master's or Ph.D. in mathematics, statistics, physics, engineering or other quantitative subjects
  • You have strong hands-on experience with dbt and SQL, our main data transformation stack on Databricks
  • You have experience with, or a strong interest in, AI-driven/agentic development, and are comfortable directing and validating AI-generated code rather than coding by hand
  • You can set up and contribute to an effective agentic framework
  • You have proven experience with Python Programming (PySpark is a plus)
  • You have a software development background with knowledge of design-patterns and unit-testing, enough to review and validate AI-generated code
  • You have proven experience working with CI/CD processes for data as well as data testing and monitoring
  • You have great communication skills (both verbal and written), being able to describe complex technical concepts and results in a clear and detailed manner to non-technical audiences
  • You have strong knowledge of data modelling, data quality and data architecture concepts
  • You have knowledge of system design, data structures, algorithms, storage systems, and cloud infrastructure
  • You have worked in agile projects using agile collaboration tools (e.g. Jira, Confluence) (nice to have)
  • You have had experience in the insurance/reinsurance or financial industry (nice to have)
  • You are a good communicator in English (B2/C1 level)

Benefits

Comp & perks
  • Competitive package and potential bonus (dependent on company’s and employee’s performance)
  • Remote work, offering flexibility and a healthy work-life balance.
  • Access to courses, workshops, and conferences to support continuous learning and growth.
  • Health insurance
  • Guidance and valuable feedback for professional growth
  • Team-building events
  • An agile and dynamic environment