Data Engineer (Insurtech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer (Insurtech): Designing and developing scalable data pipelines and products to power AI-driven analytics and customer-facing features with an accent on data quality, performance optimization, and cloud infrastructure. Focus on building robust ETL/ELT processes, implementing DataOps best practices, and collaborating with cross-functional teams to support enterprise-level underwriting solutions.
Location: London, UK
Company
is an Insurtech software business and subsidiary of Pacific Life Re, focused on transforming insurance underwriting processes through data and disruptive technology.
What you will do
- Design, develop, and support key data pipelines and services powering analytics and AI features.
- Collaborate with business domains to extract and model data according to specific requirements.
- Implement large-scale data management solutions while balancing cost and efficiency.
- Monitor and troubleshoot performance and data quality issues to ensure consistent benchmarks.
- Communicate complex technical designs and concepts to non-technical stakeholders.
- Proactively apply industry-standard data management techniques to improve team capabilities.
Requirements
- Proficiency with cloud services, ideally AWS.
- Strong experience with SQL databases and data modeling tools like dbt.
- Experience with ETL/ELT management tools such as Airflow or Dagster.
- Knowledge of DevOps concepts and tooling including Terraform and Kubernetes.
- Familiarity with DataOps, agile methodologies, and CI/CD pipelines.
- Interest or experience in AI/MLOps technologies and large-scale data processing like Spark.
Culture & Benefits
- 25 days of annual leave with options to buy or sell additional days.
- Comprehensive private health insurance for employees and dependents.
- Generous pension scheme with 15% combined contributions.
- Support for work-life balance including subsidized gym memberships and cycle-to-work schemes.
- Active commitment to community involvement with charity matching and volunteering time off.
- Regular team-building activities and a collaborative, expert-led work environment.
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