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Principal Data Engineer
Expleo GroupPrincipal Data Engineer leading technical data initiatives for the Insurance sector at Expleo. Responsible for data architecture, pipeline development, and mentoring engineering teams.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Databricks Data Engineering and Data Architecture, with a strong focus on designing and implementing large-scale data pipelines and ensuring data quality and compliance. Proven ability to mentor engineering teams and establish best practices for AI-assisted development.
Highest-signal resume keywords
Databricks Data EngineeringData ArchitectureLarge-Scale Data PipelinesAWS CertificationsData Management Certifications
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data ModelingData Pipeline DevelopmentData GovernanceMetadata ManagementData Quality Assurance
Soft Skills
MentoringCollaborationContinuous Improvement
Tools & Technologies
Databricks LakehouseAI-Assisted DevelopmentCloud-Based Data Solutions
Certifications & Qualifications
Databricks CertificationAWS CertificationData Management Certification
Industry Keywords
Speciality InsuranceRegulated EnvironmentsData PrivacyCompliance
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- Act as the leading technical authority and Subject Matter Expert for Databricks Data Engineering, representing the Engineering team to stakeholders.
- Define and own the Data Architecture for the creation of speciality insurance analytics data products.
- Design Conceptual, Logical, and Physical Data Models for the business area, aligned to broader/standardised data models.
- Establish engineering standards, patterns, and best practices for AI-assisted pipeline development, orchestration, processing, storage, and observability.
- Design, oversee, and contribute to the development of large-scale, fault-tolerant data pipelines and orchestration jobs across medallion layers in Databricks.
- Ensure pipelines are designed to meet SLAs for reliability, latency, cost, and data quality.
- Implement processes for the management of metadata, lineage, and observability in the delivery of high-quality and dependable Data Products.
- Partner with security teams on data privacy and compliance, implementing data governance with particular focus on managing sensitive, business critical data.
- Mentor senior and mid-level engineers and drive Engineering Excellence across AI Assisted Development, Code quality, Testing, and Documentation.
- Lead design reviews and architecture discussions, encouraging collaboration and innovation to promote a culture of continuous improvement.
Requirements
What you’ll need- Databricks and AWS Certifications
- BSc/MSc degree in Computer Science, Engineering or a related subject
- Data Management certifications (e.g. DAMA) an advantage
- Extensive experience in Data Engineering roles
- Proven experience leading or mentoring engineering teams
- Experience delivering large-scale cloud-based data initiatives
- Previous experience working within regulated environments such as Insurance highly desirable
- Experience with Databricks Lakehouse architecture preferred
Benefits
Comp & perks- Medical and dental insurance
- Pension
- Life assurance
- Employee wellbeing programme
- Sports and social events
- Birthday hampers