Must have

• Python

• dbt

• Snowflake

• Azure

• English (B2)

Requirements description

• 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.

Offer 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.

Your responsibilities

1. Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
2. Create and implement scalable solutions to handle diverse data sources and high volumes of information.
3. Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloud-based data platform.
4. Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics.
5. Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
6. Work closely with Technical Product Owners to align data solutions with business needs.

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