Job description

#3668

Join an exciting journey to create a greenfield, 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 (e.g., GDPR, 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 are essential.

• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.

• In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views.

• Ability to design, implement, and promote advanced solution patterns and standards for solving 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 (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale.

• 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.

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

We offer*:

• Flexible working format - remote, office-based, or flexible.

• A competitive salary and a good compensation package.

• Personalized career growth.

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more).

• Active tech communities with regular knowledge sharing.

• Education reimbursement.

• Memorable anniversary presents.

• Corporate events and team building.

• Other location-specific benefits.

*not applicable for freelancers