Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross - functional teams for data solutions and performance improvements in Madrid.
About the role
- Senior Data Engineer developing and optimizing data pipelines for Ozone’s digital advertising products. Collaborating with teams to leverage data for product innovation and insights.
Responsibilities
- Lead the design and development of complex, product-aligned data pipelines and transformations in dbt Cloud and BigQuery, ensuring scalability and performance across multiple product areas.
- Act as the data lead within cross-functional Scrum teams, shaping data requirements, defining modeling strategies, and ensuring technical feasibility from discovery through delivery.
- Drive data discovery and technical scoping during product ideation, advising on the best ways to leverage data for new features, measurement, and product optimization.
- Own end-to-end quality and scalability of product data solutions, implementing frameworks that ensure accuracy, efficiency, and long-term maintainability.
- Proactively identify cross-product dependencies, lead alignment sessions with the wider Data Engineering team, and contribute to defining shared data standards.
- Champion best practices in testing, observability, and documentation, introducing improved frameworks or automation where possible.
- Integrate the advancement of the agentic development framework into product data development, driving automation and continuous improvement in data workflows.
- Contribute to the strategic evolution of Ozone’s data stack, evaluating new technologies and mentoring other engineers in modern data practices.
- Work with cross-functional teams to deliver data-driven product insights and performance tracking.
Requirements
- 5+ years of experience in a Data Engineering or similar role.
- Strong command of SQL and proven expertise building dbt models and large-scale data transformations.
- Deep experience with BigQuery and cloud-based data environments (GCP preferred).
- Solid understanding of data modeling, ELT/ETL, and analytics engineering best practices.
- Experience leading technical workstreams within cross-functional Scrum teams.
- Proficiency with version control (Git) and workflow orchestration tools (e.g., Airflow).
- Familiarity with agentic frameworks, data quality, and observability practices.
- Excellent problem-solving and communication skills, with the ability to explain complex concepts clearly.
- Demonstrated ability to mentor others and contribute to continuous improvement across the team.
Benefits
- 30 days annual leave plus your birthday day off
- Competitive AVIVA pension scheme, with employer contributions up to 4%
- Medical cash plan - cash back on a range of health benefits incl. dental, optical, physio etc.
- Private Medical Insurance with Vitality - includes unlimited virtual GP consultations and Mental Health support in addition to cover for illness and a number of other incentives and benefits
- Income protection - to support you financially following serious illness or injury. This pays up to 70% of your salary for up to 5 years
- Group life assurance - tax free lump sum of 4x salary paid to your chosen beneficiaries
- Employee Assistance Programme - range of mental wellbeing support including life coaching and crisis support
- Rewards and discounts via interactive apps to make savings at your favourite brands, including gym discounts and savings on holiday and travel
- Hybrid working - mix of office and home working
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