Senior Data Engineer – DataOps Architecture
hace 1 semana
Senior Data Engineer – DataOps Architecture (Barcelona or Frankfurt)
Hybrid | Full-time | Permanent Contract
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.
Your main responsibilities
- Data 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
- Required
- 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 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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