Senior Snowflake Data Engineer (Technical Lead Track)
Senior Snowflake Data Engineer (Technical Lead Track)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We are a leading company in the global pool & wellness industry
Fluidra a multinational group listed on the Spanish Stock Exchange is the global leader in the pool and wellness industry. Founded in 1969 Fluidra has long-standing experience in developing innovative products and services in the global residential and commercial pool market.
Fluidra has a clear mission: to create the perfect pool and wellness experience responsibly.
Fluidra operates in more than 47 countries through its subsidiaries. We have more than 135 sales branches and more than 35 production centers around the world in addition to strategically distributed logistics hubs that support our production and distribution centers.
Our team is comprised of more than 7000 employees motivated and skilled employees from over 45 countries.
Mission:
Were seeking a Senior Data Engineer specialized in Snowflake to architect develop and lead scalable data infrastructure supporting Fluidras global data strategy. This role requires deep technical expertise in Snowflake development proven experience in data architecture and a leadership mindset.
The ideal candidate will evolve into a Snowflake Technical Lead within 12 years guiding a high-performance engineering team and influencing enterprise-wide data architecture decisions.
Your responsibilities:
- Architect design and develop high-performance maintainable and secure Snowflake-based data platforms.
- Build and optimize robust data pipelines including batch and near-real-time ingestion frameworks using best-in-class tools (e.g. dbt Snowpipe Streams & Tasks).
- Implement advanced data transformations and models (star/snowflake schemas SCDs time-travel) using SQL dbt and Python.
- Collaborate with analytics business intelligence and data science teams to deliver trustworthy scalable and business-aligned data assets.
- Drive the adoption of software engineering best practices in the data lifecycle: CI/CD pipelines modularization versioning testing and documentation.
- Ensure end-to-end data governance security privacy and lineage tracking are implemented across the Snowflake ecosystem.
- Contribute to the data architecture roadmap influencing choices on tooling modularity and long-term scalability.
- Provide technical mentorship to junior engineers and participate in the selection and onboarding of future team members.
Required Experience & Skills
- Minimum 10 years of experience in data engineering with at least 6 years in Snowflake development in enterprise-scale environments.
- Strong proficiency in:
- SQL (Snowflake dialect query tuning UDFs stored procedures)
- dbt (Data Build Tool) for modular transformations and testing
- Python for orchestration and complex transformations
- Optional but valued: JavaScript Scala or Shell scripting
- Proven experience in Snowflake-specific capabilities: roles & RBAC resource monitors data sharing materialized views zero-copy cloning dynamic masking time travel tasks and streams.
- Deep understanding of data warehousing principles data modeling (3NF dimensional data vault) and ELT/ETL architecture patterns.
- Expertise in CI/CD for data environments preferably with tools such as GitHub Actions Azure DevOps or GitLab CI.
- Experience with orchestration frameworks (e.g. Airflow Prefect Dagster) and monitoring tools (e.g. Monte Carlo Great Expectations).
- Familiarity with modern data catalogs governance tools and data quality frameworks.
Leadership Potential
- Demonstrated ability to lead technical initiatives mentor teams and influence architectural decisions.
- Capable of translating strategic business needs into scalable production-ready data solutions.
Educational Background & Certifications
- Bachelors or Masters degree in a relevant field: Computer Science Engineering Mathematics Physics or other STEM disciplines.
- Strong foundation in algorithms distributed computing and database theory.
- Preferred certifications:
- Snowflake SnowPro Core Certification (required)
- SnowPro Advanced: Architect or Data Engineer (highly desirable)
- Certifications in dbt AWS/GCP/Azure Data Engineering or equivalent
- Continuous learner mindset with a demonstrated commitment to staying up to date with modern data technologies.
What We Offer:
- A key role in shaping the future of Fluidras data platform architecture.
- Collaborative diverse and innovative environment focused on impact and learning.
- Opportunities for leadership growth and participation in cross-functional strategic initiatives.
- Competitive compensation training resources and flexible work arrangements.
- Permanent contract and flexible compensation options (restaurant card transportation childcare and health insurance).
At Fluidra we are committed to both the professional and personal development of our employees. Thanks to our highly qualified team of experts we are able to fulfill our main mission: To create the perfect Pool and Wellness experience responsibly.
Employment Type
Full Time
