Profiles Desarrollo (IT)De duración indefinidaBarcelona, SpainCompletaSalario competitivoImmediate incorporationWhere will you work?Our client is a global leader in pool and wellness solutions, operating in over 45 countries with a strong portfolio of premium brands. What will you do?In your day-to-day, you will:
- 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.Who are we looking for?You might be a great fit if you have:
-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:
-Bachelor’s or Master’s 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 do we offer?We're offering:
- Hybrid model:
2 remote days per week.- A key role in shaping the future of Fluidra’s 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.- Flexible working hours.Do you need +info?Claudia baltazarcbaltazar@talentsearchpeople.com(+34) 93 231 00 00