Senior Data Engineer (Snowflake)

Join an exciting journey to create a cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities.

As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform’s architecture, focusing on hands-on technical execution and collaboration with cross-functional teams. Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders.

Key Responsibilities

Hands-On Development

• Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
• Create and implement scalable solutions to handle diverse data sources and high volumes of information.

Data Modeling & Warehousing

• Design and maintain efficient data models and schemas for a cloud-based data platform.
• Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics.

Collaboration

• Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners to align data solutions with business needs.
• Collaborate with global teams to integrate data from diverse platforms, ensuring scalability, security, and accuracy.

Platform Development

• Enable data readiness for advanced analytics, reporting, and segmentation.
• Implement robust frameworks to monitor data quality, accuracy, and performance.

Testing & Quality Assurance

• Implement robust security measures to protect sensitive consumer data at every stage of the pipeline.
• Ensure compliance with data privacy regulations, including GDPR and CCPA, and internal policies.
• Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices.

Requirements

• Over 4 years of experience showcasing technical expertise and critical thinking in data engineering.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling.
• Demonstrated experience building consumer data lakes and developing consumer analytics capabilities.
• In-depth understanding of privacy and security engineering within Snowflake, including RBAC, dynamic and tag-based data masking, row-level security/access policies, and secure views.
• Ability to design, implement, and promote advanced solution patterns and standards for complex challenges.
• Familiarity with multiple cloud platforms; Azure or GCP preferred, with a focus on Azure.
• Practical experience with Big Data batch and streaming tools.
• Competence in SQL, NoSQL, relational database design, and efficient methods for data retrieval and preparation at scale. SAP HANA experience is a bonus.
• Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying.
• Experience working in global environments and collaborating with virtual teams.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.