Data Engineer | Staff | IT Enterprise Data & Platforms Japan
Boehringer Ingelheim1 month ago
Japan (city not specified)Staff+
Responsibilities
- Design, build, maintain, and optimize end-to-end data pipelines and integrations for commercial data and analytics use cases.
- Develop and operate integrations using SnapLogic, AWS S3, AWS Lambda, AWS Glue, and Apache Airflow.
- Implement and maintain scalable, performant, analytics-ready data models in Snowflake.
- Build transformation logic and analytics layers in dbt, including models, tests, documentation, and deployment practices.
- Enforce data governance and metadata standards using tools such as Collibra.
- Implement and monitor data quality controls, profiling, exception handling, and remediation workflows using Attaccama or equivalent tools.
- Support data lifecycle processes and operationalize data products according to platform and product standards.
- Improve architecture, automation, observability, alerting, and self-healing capabilities to reduce operational effort.
- Ensure solutions meet security, privacy, compliance, audit-readiness, and access-control expectations.
- Collaborate with Product Owners, Data Scientists, Analysts, Architects, and business stakeholders to deliver reusable data assets.
- Apply engineering practices including version control, CI/CD, code reviews, documentation, automated testing, and operational runbooks.
Requirements
- Degree in Computer Science, Engineering, Data or Information Systems, or a related field.
- At least 4 years of relevant experience in data engineering, analytics engineering, or similar roles.
- Hands-on experience building integrations and pipelines with SnapLogic or comparable iPaaS tools, AWS S3, AWS Lambda, AWS Glue, and Apache Airflow.
- Strong Snowflake experience, including data modeling, performance tuning, and secure data access patterns.
- Proven experience with dbt models, tests, macros, documentation, environments, and CI/CD integration.
- Familiarity with data governance, metadata management, lineage, stewardship, and data catalogs, ideally using Collibra.
- Experience implementing data quality controls and monitoring, ideally using Attaccama or equivalent tools.
- Knowledge of software engineering fundamentals including Python, SQL, Git, coding standards, automated testing, and production support.
- Ability to work independently, manage priorities, and proactively drive work in a dynamic environment.
- Strong stakeholder management, analytical thinking, structured problem-solving, and communication skills.
- Fluency in English and Japanese for communication with technical and non-technical stakeholders.
- Experience with regulated environments such as GxP, validation, audit readiness, or privacy-by-design is desirable.
- Familiarity with data platform observability, including pipeline monitoring, data drift, and SLAs/SLOs, is desirable.
- Exposure to pharmaceutical commercial domain data is desirable.
About Boehringer Ingelheim
Boehringer Ingelheim develops and manufactures prescription medicines for humans and animal health products, and provides biopharmaceutical contract manufacturing services. The family-owned company was founded in 1885 and is headquartered in Ingelheim am Rhein, Germany. Its portfolio spans areas such as cardiovascular and metabolic diseases, respiratory disorders, oncology, and vaccines for livestock and companion animals, with products marketed globally.