Lead Data Engineer

Job Description
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide.

Chubb launched its third Engineering Center in Thessaloniki in 2022. Our rapidly expanding new Chubb Engineering Center in Greece (CECG) is integrated with the Engineering Centers in India and Mexico to support our global technology needs and digital business transformation, as well as the company's operations in the Europe - Middle East - Africa region operating in 27 countries.

We are in search of a highly skilled Lead Data Engineer to join our Data Engineering team, In this pivotal role, you will drive the design and implementation of innovative data Engineering patterns and Frameworks and engineering practices that support business objectives and enhance data utilization across the enterprise. Your expertise will be essential in ensuring that our data foundation is robust, scalable, and aligned with industry best practices.

Responsibilities

• Lead the design and development of comprehensive data engineering frameworks and patterns.
• Establish engineering design standards and guidelines for the creation, usage, and maintenance of data across COG (Chubb overseas general)
• Derive innovation and build highly scalable real-time data pipelines and data platforms to support the business needs.
• Act as mentor and lead for the data engineering organization that is business-focused, proactive, and resilient.
• Promote data governance and master/reference data management as a strategic discipline.
• Implement strategies to monitor the effectiveness of data management.
• Be an engineering leader and coach data engineers and be an active member of the data leadership team.
• Evaluate emerging data technologies and determine their business benefits and impact on the future-state data platform.
• Develop and promote a strong data management framework, emphasizing data quality, governance, and compliance with regulatory requirements
• Collaborate with Data Modelers to create data models (conceptual, logical, and physical)
• Architect meta-data management processes to ensure data lineage, data definitions, and ownership are well-documented and understood
• Collaborate closely with business leaders, IT teams, and external partners to understand data requirements and ensure alignment with strategic goals
• Act as a primary point of contact for data engineering discussions and inquiries from various stakeholders
• Lead the implementation of data architectures on cloud platforms (AWS, Azure, Google Cloud) to improve efficiency and scalability

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field; Master's degree preferred
• Minimum of 10 years' experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains preferred.
• Proven track record of successful implementation of data architecture within large-scale transformation programs or projects
• Comprehensive knowledge of data modelling techniques and methodologies, including data normalization and denormalization practices
• Hands on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos), data transformation (Informatica IICS, Databricks), change data capture and data streaming (Apache Kafka, Apache Flink) technologies
• Proven Expertise with data warehousing concepts, ETL processes, and data integration tools (e.g., Informatica, Databricks, Talend, Apache Nifi)
• Experience with cloud-based data architectures and platforms (e.g., AWS Redshift, Google BigQuery, Snowflake, Azure SQL Database)
• Expertise in ensuring data security patterns (e.g. tokenization, encryption, obfuscation)
• Knowledge of insurance policy operations, regulations, and compliance frameworks specific to Consumer lines
• Familiarity with Agile methodologies and experience working in Agile project environments
• Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture

Our team makes the difference, every time. For this reason, we offer in return
We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and work in a fun, lively environment with mentoring from our groundbreaking senior mentors.

Integrity. Client Focus. Respect. Excellence. Teamwork
Our core values instruct how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and encouraging.

Diversity & Inclusion
At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We earnestly strive to achieve an environment where all colleagues feel comfortable to perform to their full potential and are recognized for their contributions.

Many voices, One Chubb