Senior P&C Data Engineer

Sales Consulting

. Build, deliver, test, and maintain data artefacts, including data pipelines and API services, for data distribution .

Posted 10/14/2026full-timeBucharest • RomaniaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, with strong proficiency in Python, PySpark, and SQL. Capable of implementing data quality controls and collaborating effectively in Agile environments.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProgrammingAgile MethodologiesREST API DevelopmentCI/CD Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentPython ProgrammingPySparkSQLData Quality ManagementParallelization TechniquesDistributed ProgrammingDecision ModelingChange Data Capture ManagementReporting Tools

Soft Skills

Analytical ThinkingSolution-Oriented ApproachTeam-Player MindsetCommunication SkillsCuriosity

Tools & Technologies

DatabricksPalantir FoundryPower BIGitflow

Industry Keywords

Data EngineeringAgile ProjectsInsurance IndustryFinancial Services

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Build, deliver, test, and maintain data artefacts, including data pipelines and API services, for data distribution
Follow standard data engineering best practices
Document code, diagrams, and wiki-style documentation for data artefacts
Collaborate within and outside the squad through workshops, daily meetings, sprint reviews, and design sessions
Support reliable data pipelines serving transactional and analytical needs
Implement appropriate tests and controls for data quality and trustworthiness
Review and coach data engineers and support their professional growth
Work under the responsibility of a Lead Data Engineer

Requirements

What you’ll need

6+ years of experience as a data engineer
Data-oriented mindset
Proven experience developing and maintaining data pipelines, preferably in Agile projects using Scrum and/or Kanban
Databricks and/or Palantir Foundry experience is a strong plus
Experience in the (re)insurance industry and/or financial services is a plus
Strong Python, PySpark, and SQL skills
Ability to develop data pipelines using parallelization, distributed programming techniques, decision modeling, slowly changing dimensions, and change data capture management
Good knowledge of CI/CD pipelines and Gitflow best practices
Knowledge of REST API development
Reporting tools knowledge, such as Power BI, is a plus
Strong analytical thinking, rigorous mindset, solution-oriented approach, and ability to propose solutions
Team-player mindset, commitment, curiosity, and interest in challenging ideas
Ability to navigate an international environment
Communication skills and ability to speak with business, data, and IT stakeholders
Bachelor's degree in computer science, software engineering, computer engineering, applied mathematics, physics, statistics, or a related field, or equivalent experience

Benefits

Comp & perks

Hybrid work arrangement
Professional growth and coaching opportunities
Opportunity to work in an international team
Participation in workshops, daily meetings, sprint reviews, and design sessions