Senior Data Engineer

Come join us, and shape the future of the insurance industry!

SCOR Digital Solutions (ReMark) is SCOR’s tech-hub for automated underwriting, claims, and HealthTech solutions. By combining SCOR’s comprehensive data and analytical expertise with the award-winning capabilities of our in-house product and technical teams, our solutions are helping insurers to transform the experience of their consumers worldwide. We also conduct annual research with more than 12,500 insurance consumers in 22 key markets around the world, ensuring our solutions are always imbued with the voice of today’s consumers.

SCOR Digital Solutions is an equal opportunity employer. Our team is incredibly diverse, featuring over 175 employees from 33 nationalities across global 15 offices.

This role

As a Senior Data Engineer you will work closely with ReMark’s Data Community to contribute to a global Databricks implementation. This role will involve architecting, developing and optimising data pipelines as well as integrating with reporting tools like Power BI to support needs across the organisation.

Roles & Responsabilities

• Lead the design, development and deployment of scalable and efficient data pipelines on Databricks to support our global data initiatives
• Architect and manage Databricks clusters, jobs and workflows for optimal performance and scalability
• Collaborate with other data professionals in the business to ensure seamless data flow and accessibility for advanced analytics
• Implement best practices for data governance, security and data quality in Databricks environments
• Continually optimize existing Databricks implementation for cost efficiency, performance and reliability
• Data Engineering and pipeline management: ETL, scalability, monitoring of pipelines, performance tuning and optimization

Core Competencies

The candidate for this job will be enthusiastic about the responsibilities above, and will have a skillset which complements the job well, including:

• Significant experience in data engineering with a strong focus on cloud-based data platforms
• Proven experience in building and managing complex ETL/ELT pipelines
• Proficient in SQL and one or more programming languages (e.g., Python, Scala)
• Experience with version control systems and CI/CD pipelines for data workflows
• Familiarity with data platforms, analytics and data visualization (e.g., Databricks, Power BI, Palantir Foundry) and version control tools (e.g., GitHub, BitBucket etc.)
• Strong understanding of data modelling, database design and data warehousing concepts
• Knowledge of compliant and secure handling of PHI/PII data, ensuring data privacy and security
• Familiarity with data governance, data security and compliance frameworks in cloud environments
• Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders
• Eligibility to work in UK / European Union

Preferred supplementary skills:

• Enthusiastic
• Interest in working close to data scientists and domain experts
• A healthy knowledge and interest of news & current affairs especially in the topic of technology, data governance, AI, health & wellness, financial sector, insurance, and consumer behavior

Required Skills & Experience

• Master’s degree or its equivalent in Computer Science, Data Science, STEM, or a related field
• +2 years of work experience data engineering, preferably within the (re)insurance sector, as part of a financial services company or similar organization
• Fluent in english

What we offer

• Medical allowance
• Pension plan
• Remuneration Policy
• Green Policy
• Learning and development courses
• Evolve in a stimulating and challenging environment
• Share and learn with a passionate international community

Evolve in a start-up mentality

The company working language is English. All employees should speak, read and write English to a sufficient level in order to communicate and operate effectively in the organization.