Senior Data Engineer
hace 1 día
About the role
Honda Bank is accelerating its digital transformation and building a modern, agile, and secure data architecture. We are looking for a Senior Data Engineer to join our DataOps team within the Architecture function. This role is pivotal in designing and implementing a cloud-native data lake to replace our legacy sales data warehouse, enabling efficient, compliant, and scalable data consumption across the organization.
If you are passionate about data engineering, cloud technologies, and data-driven innovation, this is your opportunity to make a real impact.
TasksData Architecture & Engineering:
- Design and build robust, scalable data pipelines using AWS Glue, S3, Athena, and other AWS-native services.
- Lead the migration from a legacy DWH to a data lake architecture following the medallion model (bronze, silver, gold layers).
- Ensure secure and performant access to structured and semi-structured data.
Data Science Enablement:
- Develop reusable, production-grade feature engineering and modeling pipelines for business and AI use cases.
- Apply statistical profiling and exploratory methods to guarantee data quality and relevance.
Collaboration & Strategy:
- Work closely with solution architects, data governance, and BI teams to define platform standards.
- Act as a subject-matter expert in data observability, validation, and transformation logic.
Automation & CI/CD:
- Implement automated workflows for pipeline testing, monitoring, and alerting.
- Integrate data workflows into CI/CD and Infrastructure-as-Code pipelines.
Governance & Compliance:
- Enforce best practices around data lineage, access control, and regulatory compliance (e.g., DORA, GDPR).
What we're looking for:
- 5–8 years of experience in data engineering, data science, or advanced analytics.
- Proven expertise with AWS cloud data services (S3, Glue, Lake Formation, Athena).
- Proficiency in PySpark, SQL, and Python for scalable data manipulation.
- Strong understanding of data lake / Lakehouse architectures and medallion approach.
- Hands-on experience with data visualization and reporting tools (Power BI / MicroStrategy).
- Familiarity with data governance, metadata management, and security best practices.
Desirable:
- Experience in financial services or regulated industries.
- Exposure to CI/CD, Terraform, or similar DevOps tooling.
- AWS certifications in Data Analytics or Machine Learning.
- Knowledge of EU data regulations and compliance frameworks.
What we offer:
Hybrid work model (Santa Perpètua de Mogoda, Barcelona)
Flexible working hours
Free parking
Canteen allowance
Life insurance and private medical insurance
Lease Car and Lease Bike Program for employees
Why Join Honda Bank?
Honda Bank GmbH, Sucursal en España is one of the three financial entities that Honda operates in Europe. By joining us, you become part of a big company with strong values, international reach, and a deep commitment to employee development.
At Honda, we believe in diversity and inclusion. We are proud to be a fair, equal-opportunity employer where people are valued for who they are, and where everyone contributes to our shared success.
If you're ready to shape the future of Honda Bank's data ecosystem, we'd love to hear from you.
Apply now or share this opportunity with someone who might be a great fit.
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