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 platforms 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 youll 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.
- Strong experience with Azure and familiarity with other cloud platforms
- 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 Bachelors or Masters 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 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 buildings
- Other location-specific benefits
*not applicable for freelancers
Required Experience:
Senior IC
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 Dat...
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 platforms 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 youll 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.
- Strong experience with Azure and familiarity with other cloud platforms
- 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 Bachelors or Masters 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 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 buildings
- Other location-specific benefits
*not applicable for freelancers
Required Experience:
Senior IC
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