Data Engineer - Global Insurance Leader

TEKsystems Japan
Relocation
Apply
AI Summary

Join a leading global insurance company as a Data Engineer, where you'll help shape the future of data infrastructure and analytics. Design and develop data ingestion pipelines for internal and external sources. Collaborate with global teams to align data solutions with business goals.

Key Highlights
Design and develop data ingestion pipelines
Collaborate with global teams
Transform raw data into actionable insights
Key Responsibilities
Design and develop data ingestion pipelines for internal and external sources
Handle structured, semi-structured, and unstructured data across batch and real-time workflows
Optimize pipelines for performance, reliability, and scalability
Technical Skills Required
Azure Azure ML AKS Synapse Spark Synapse Pipeline PySpark Spark PL SQL Transact SQL Power BI ETL (Informatica)
Benefits & Perks
Competitive compensation and benefits
Hybrid work model
Relocation support available
Nice to Have
PySpark
Spark
PL SQL
Transact SQL
Power BI
ETL (Informatica)

Job Description


  • Leading insurance companies
  • Highly skilled and motivated Data Engineer
  • A robust data platform in a cloud environment

📊 We're Hiring: Data Engineer – Global Insurance Leader (Tokyo | Hybrid | English-speaking team) Location: Tokyo, Japan (Hybrid work model) Type: Full-Time Language: English Open to overseas candidates – relocation support available

Join a leading global insurance company as a Data Engineer, where you'll help shape the future of data infrastructure and analytics. This is a high-impact role for engineers who thrive on building scalable, cloud-native data systems and transforming raw data into actionable insights.

If you are interested to learn more, email to Betrand.Chris@teksystems.com or apply here.

🔧 Key Responsibilities

  • Design and develop data ingestion pipelines for internal and external sources
  • Handle structured, semi-structured, and unstructured data across batch and real-time workflows
  • Optimize pipelines for performance, reliability, and scalability
  • Implement best practices for error handling, logging, and monitoring
  • Collaborate with global teams to align data solutions with business goals

💼 Qualifications

  • Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or related field
  • Proven experience in data engineering and cloud-based data systems, preferably Azure (Azure ML, AKS, Synapse Spark, Synapse Pipeline)
  • Strong understanding of data pipeline development, data warehousing, and BI tools
  • Excellent problem-solving skills and a proactive, innovative mindset
  • Strong communication and collaboration skills in a global team environment
  • Preferred technical skills: PySpark, Spark, PL SQL, Transact SQL, Power BI, ETL (Informatica)

🌍 Why Join Us?

  • Work with a global insurance leader driving digital transformation
  • Hybrid work model with a Tokyo-based team
  • Relocation support available for international candidates
  • Collaborative, English-speaking environment
  • Competitive compensation and benefits

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