Senior Data Platform Engineer

Chubb External
Full_time•Thessaloníki, Greece

📍 Job Overview

  • Job Title: Senior Data Platform Engineer
  • Company: Chubb
  • Location: Thessaloníki, Kentrikí Makedonía, Greece
  • Job Type: Full time
  • Category: Data Engineering & Infrastructure
  • Date Posted: June 6, 2025

🚀 Role Summary

  • Manage and optimize Azure Platform Services, including Kubernetes and VM-based services, as well as data applications like Databricks and Elastic Search.
  • Collaborate with data engineers, data scientists, and application developers to address complex technical challenges and drive data platform capabilities.
  • Mentor and manage locally based platform engineers, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: This role requires a strong background in Azure services and data platform management, with a focus on collaboration, problem-solving, and technical leadership.

💻 Primary Responsibilities

  • Platform Management: Manage and optimize Azure Platform Services, ensuring high availability and performance.
  • Issue Resolution: Monitor and troubleshoot issues impacting platform services and capabilities, minimizing downtime and service interruptions.
  • Standards & Governance: Set and enforce standards, best practices, and platform governance to ensure security, compliance, and scalability.
  • Security Implementation: Implement and maintain data security measures, complying with company policies and industry best practices.
  • Automation & CI/CD: Automate project onboarding processes using CI/CD and DevOps tools to streamline workflows and improve efficiency.
  • Collaboration & Problem-Solving: Collaborate with cross-functional teams to address complex technical challenges and drive data platform capabilities.
  • Project Delivery: Own delivery of Azure and data platform projects, ensuring they are completed on time and meet quality standards.
  • Architecture & Change Management: Follow corporate governance requirements around architecture and change management to maintain a robust and scalable infrastructure.
  • Proof of Concepts & Prototyping: Build proof of concepts and prototypes to solve emerging challenges and explore new technologies.
  • Technical Research & Staying Current: Stay current with new data technologies and programming models, continuously expanding your skillset and knowledge base.
  • Mentoring & Team Leadership: Mentor and line-manage other locally based platform engineers, fostering a culture of growth and technical excellence.

📝 Enhancement Note: This role requires a high level of technical expertise, strong communication skills, and the ability to work effectively with diverse teams to drive data platform capabilities and ensure optimal performance.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree would be an asset.

Experience: Proven experience (5-10 years) in data platform engineering, with a strong background in Azure services and data management.

Required Skills:

  • Proficiency in Azure Platform Services, including Kubernetes and VM-based services
  • Strong understanding of data applications like Databricks and Elastic Search
  • Experience with CI/CD and DevOps tools
  • Familiarity with data security best practices and industry standards
  • Proven project management and delivery skills
  • Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams
  • Experience in mentoring and leading technical teams
  • Knowledge of data engineering principles and best practices

Preferred Skills:

  • Experience with data modeling, ETL/ELT processes, and data warehousing
  • Familiarity with big data technologies and data lakes
  • Knowledge of data governance, metadata management, and data cataloging
  • Experience with cloud-native applications and microservices architectures
  • Familiarity with infrastructure as code (IaC) tools like Terraform or Azure Resource Manager (ARM)
  • Experience with data visualization tools and business intelligence platforms

📝 Enhancement Note: Candidates should have a strong foundation in data engineering and Azure services, with a proven track record of driving data platform capabilities and ensuring optimal performance.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

  • A portfolio showcasing your experience with Azure Platform Services, data applications, and data management.
  • Case studies demonstrating your ability to address complex technical challenges and drive data platform capabilities.
  • Examples of your work in data security, CI/CD, and DevOps, highlighting your ability to streamline workflows and improve efficiency.

Technical Documentation:

  • Documentation demonstrating your understanding of data engineering principles and best practices.
  • Examples of your experience with data modeling, ETL/ELT processes, and data warehousing.
  • Case studies highlighting your ability to collaborate with cross-functional teams and drive data platform capabilities.

📝 Enhancement Note: Your portfolio should demonstrate your technical expertise, problem-solving skills, and ability to work effectively with diverse teams to drive data platform capabilities and ensure optimal performance.

💵 Compensation & Benefits

Salary Range: €60,000 - €80,000 per year (Based on market research and regional adjustments for Thessaloníki, Greece)

Benefits:

  • Competitive health, dental, and vision insurance plans
  • Retirement savings plans with company matching
  • Generous vacation and time-off policies
  • Employee assistance programs and wellness initiatives
  • Professional development opportunities and tuition reimbursement
  • Employee discounts and perks

Working Hours: Full-time, Monday to Friday, with flexible working hours and remote work options available.

📝 Enhancement Note: The salary range is based on market research and regional adjustments for Thessaloníki, Greece, with a focus on data engineering and Azure services experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Chubb is a global leader in property and casualty insurance, operating in 54 countries with a strong focus on digital transformation and innovation.

Company Size: Chubb is a large, multinational corporation with a diverse workforce and a strong commitment to employee development and growth.

Founded: 1882, with a rich history and a reputation for excellence and reliability.

Team Structure:

  • The data engineering team is responsible for designing, implementing, and maintaining data platforms and services that support Chubb's business operations and digital transformation initiatives.
  • The team works closely with data scientists, data analysts, and application developers to ensure optimal performance and scalability.
  • The team is structured into sub-teams focused on specific data domains, technologies, or business areas.

Development Methodology:

  • Agile methodologies, with a focus on iterative development, continuous integration, and continuous deployment.
  • Collaboration and communication are key, with regular stand-ups, sprint planning, and retrospectives.
  • Data engineering best practices, including data modeling, ETL/ELT processes, and data warehousing, are followed to ensure data quality and reliability.

Company Website: Chubb

📝 Enhancement Note: Chubb's data engineering team is a critical component of the company's digital transformation and innovation efforts, with a strong focus on collaboration, continuous learning, and technical excellence.

📈 Career & Growth Analysis

Data Engineering Career Level: This role is at the senior level, with a focus on managing and optimizing data platforms, driving data capabilities, and mentoring junior team members.

Reporting Structure: The Senior Data Platform Engineer will report directly to the Data Engineering Manager and work closely with other senior team members, data scientists, data analysts, and application developers.

Technical Impact: This role has a significant impact on Chubb's data platforms, services, and overall data capabilities. The Senior Data Platform Engineer will play a crucial role in ensuring optimal performance, scalability, and security, as well as driving innovation and continuous improvement.

Growth Opportunities:

  • Technical Growth: Expand your expertise in data engineering, Azure services, and emerging data technologies.
  • Leadership Development: Develop your leadership and mentoring skills, with opportunities to take on more significant responsibilities and manage larger teams.
  • Career Progression: Progress to roles such as Principal Data Engineer, Data Engineering Manager, or even Chief Data Officer, depending on your interests and career goals.

📝 Enhancement Note: This role offers significant opportunities for technical growth, leadership development, and career progression, with a focus on driving data platform capabilities and ensuring optimal performance.

🌐 Work Environment

Office Type: Chubb's Thessaloníki office is a modern, collaborative workspace designed to foster innovation and productivity.

Office Location(s): Thessaloníki, Greece, with remote work options available.

Workspace Context:

  • Collaboration: The office features open-plan workspaces, meeting rooms, and breakout areas designed to encourage collaboration and communication.
  • Technology: The office is equipped with state-of-the-art technology, including high-speed internet, powerful workstations, and multiple monitors.
  • Flexibility: The office offers flexible working hours and remote work options to accommodate employees' needs and preferences.

Work Schedule: Full-time, Monday to Friday, with flexible working hours and remote work options available.

📝 Enhancement Note: Chubb's Thessaloníki office is a modern, collaborative workspace designed to foster innovation and productivity, with a strong focus on employee well-being and work-life balance.

📄 Application & Technical Interview Process

Interview Process:

  1. Phone Screen: A brief phone call to discuss your experience, qualifications, and career goals.
  2. Technical Assessment: A hands-on technical assessment focused on Azure services, data management, and data engineering principles.
  3. Behavioral Interview: A structured interview focused on your problem-solving skills, collaboration, and communication abilities.
  4. Final Interview: A final interview with senior leadership to discuss your fit for the role and the team.

Portfolio Review Tips:

  • Highlight your experience with Azure services, data applications, and data management.
  • Include case studies demonstrating your ability to address complex technical challenges and drive data platform capabilities.
  • Showcase your work in data security, CI/CD, and DevOps, highlighting your ability to streamline workflows and improve efficiency.

Technical Challenge Preparation:

  • Brush up on your Azure services, data management, and data engineering skills.
  • Practice problem-solving and coding challenges to demonstrate your technical expertise.
  • Prepare for behavioral interview questions focused on collaboration, communication, and leadership.

ATS Keywords: Azure, Kubernetes, VM Services, Databricks, Elastic Search, Data Security, CI/CD, DevOps, Data Engineering, Data Platform, Project Management, Architecture Governance, Proof of Concepts, Mentoring, Technical Research, Data Modeling, ETL/ELT, Data Warehousing, Big Data, Cloud-Native Applications, Microservices, Infrastructure as Code, Data Visualization, Business Intelligence.

📝 Enhancement Note: The interview process is designed to assess your technical expertise, problem-solving skills, and cultural fit, with a focus on your ability to drive data platform capabilities and ensure optimal performance.

🛠 Technology Stack & Web Infrastructure

Azure Platform Services:

  • Azure Kubernetes Service (AKS)
  • Azure Virtual Machines (VMs)
  • Azure Databricks
  • Azure Elastic Search
  • Azure Data Factory
  • Azure Data Lake
  • Azure SQL Database
  • Azure Cosmos DB

CI/CD & DevOps Tools:

  • Azure DevOps
  • Jenkins
  • Git
  • Terraform
  • Ansible
  • Docker

Data Engineering & Management Tools:

  • Apache Spark
  • Apache Hadoop
  • Apache Kafka
  • Apache Airflow
  • Talend
  • Informatica

📝 Enhancement Note: Chubb's technology stack is built on Azure services, with a focus on data engineering, data management, and data analytics. The company uses a combination of open-source and proprietary tools to ensure optimal performance and scalability.

👥 Team Culture & Values

Data Engineering Values:

  • Collaboration: Work closely with cross-functional teams to drive data platform capabilities and ensure optimal performance.
  • Innovation: Continuously explore new technologies and approaches to improve data management and analytics.
  • Quality: Ensure data accuracy, reliability, and security through rigorous testing, monitoring, and governance.
  • Continuous Learning: Stay current with emerging data technologies and best practices, continuously expanding your skillset and knowledge base.

Collaboration Style:

  • Cross-Functional Integration: Work closely with data scientists, data analysts, and application developers to ensure optimal performance and scalability.
  • Code Review: Collaborate with team members to review and improve code, ensuring high standards and best practices.
  • Knowledge Sharing: Share your knowledge and expertise with the team, fostering a culture of continuous learning and improvement.

📝 Enhancement Note: Chubb's data engineering team values collaboration, innovation, quality, and continuous learning, with a strong focus on driving data platform capabilities and ensuring optimal performance.

⚡ Challenges & Growth Opportunities

Technical Challenges:

  • Azure Services: Manage and optimize Azure Platform Services, ensuring high availability, performance, and scalability.
  • Data Applications: Work with data applications like Databricks and Elastic Search, ensuring optimal performance and integration with other data services.
  • Data Security: Implement and maintain data security measures, complying with company policies and industry best practices.
  • CI/CD & DevOps: Automate project onboarding processes using CI/CD and DevOps tools, streamlining workflows and improving efficiency.
  • Emerging Technologies: Stay current with new data technologies and programming models, continuously expanding your skillset and knowledge base.

Learning & Development Opportunities:

  • Technical Training: Participate in technical training and workshops to expand your knowledge and skills in data engineering and Azure services.
  • Conferences & Events: Attend industry conferences and events to network with other professionals and learn about emerging trends and best practices.
  • Mentoring & Coaching: Seek mentorship and coaching opportunities to develop your leadership and technical skills, as well as your career prospects.

📝 Enhancement Note: This role presents significant technical challenges and growth opportunities, with a focus on driving data platform capabilities and ensuring optimal performance.

💡 Interview Preparation

Technical Questions:

  • Azure Services: Be prepared to discuss your experience with Azure Platform Services, data applications, and data management.
  • Data Engineering Principles: Demonstrate your understanding of data engineering principles, best practices, and emerging trends.
  • Problem-Solving: Showcase your problem-solving skills and ability to address complex technical challenges.
  • Leadership & Collaboration: Prepare for questions focused on your leadership, mentoring, and collaboration skills.

Company & Culture Questions:

  • Chubb's Mission & Values: Research Chubb's mission, values, and culture, and be prepared to discuss how your skills and experience align with the company's goals.
  • Data Engineering at Chubb: Prepare for questions focused on Chubb's data engineering team, its structure, and its role within the company.
  • Challenges & Opportunities: Be prepared to discuss the technical challenges and growth opportunities presented by the role, as well as your approach to addressing them.

Portfolio Presentation Strategy:

  • Azure Services: Highlight your experience with Azure Platform Services, data applications, and data management in your portfolio.
  • Case Studies: Include case studies demonstrating your ability to address complex technical challenges and drive data platform capabilities.
  • Data Security & CI/CD: Showcase your work in data security, CI/CD, and DevOps, highlighting your ability to streamline workflows and improve efficiency.

📝 Enhancement Note: The interview process is designed to assess your technical expertise, problem-solving skills, and cultural fit, with a focus on your ability to drive data platform capabilities and ensure optimal performance.

📌 Application Steps

To apply for this Senior Data Platform Engineer position:

  1. Tailor Your Resume: Highlight your experience with Azure services, data engineering, and data management, as well as your problem-solving skills, leadership, and collaboration abilities.
  2. Prepare Your Portfolio: Showcase your experience with Azure Platform Services, data applications, and data management, as well as your ability to address complex technical challenges and drive data platform capabilities.
  3. Research Chubb: Learn about Chubb's mission, values, and culture, and be prepared to discuss how your skills and experience align with the company's goals.
  4. Prepare for Technical & Behavioral Interviews: Brush up on your Azure services, data engineering, and data management skills, as well as your problem-solving, leadership, and collaboration abilities. Practice for technical and behavioral interview questions, focusing on your approach to addressing complex technical challenges and driving data platform capabilities.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and data engineering industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates should have experience with Azure services and a strong understanding of data platform capabilities. The role requires collaboration with engineers and developers, as well as mentoring responsibilities.