Social and Creator Marketing Manager driving Priceline's brand through social media content. Create and manage campaigns while collaborating with agency partners and creators.
About the role
- Data Engineer expanding data pipelines, enabling reliable data for marketing initiatives at Lojas Renner S.A. Collaborates with teams on data governance and AI solutions.
Responsibilities
- Lead the development and evolution of large-scale data pipelines to support marketing use cases (CRM, segmentation, campaigns and personalization).
- Design and implement robust data ingestion, transformation and serving solutions using Databricks, Azure Data Factory, Python and PySpark.
- Structure data for analytical and operational consumption, ensuring low latency, high reliability and consistency across activation channels.
- Integrate multiple sources (transactional, behavioral, events and APIs) with a focus on a unified customer view.
- Ensure high standards of data governance, quality and traceability using Unity Catalog and data governance best practices.
- Optimize pipeline performance and cost, focusing on operational efficiency in distributed environments.
- Enable data for Artificial Intelligence initiatives by structuring datasets and pipelines that support predictive models and LLM-based applications.
- Collaborate with business, analytics and data science teams to translate marketing needs into scalable data solutions.
- Serve as a technical reference, influencing architectural decisions and promoting data engineering best practices.
Requirements
- Solid experience (4+ years) in Data Engineering, with strong proficiency in SQL, Python, PySpark and Databricks.
- Experience building scalable and resilient data pipelines in cloud environments (preferably Azure / Databricks).
- Strong knowledge of distributed processing and large-scale data handling.
- Experience integrating data from multiple sources (APIs, events, transactional systems).
- Familiarity with data governance, quality and cataloging practices (e.g., Unity Catalog).
- Ability to work with technical autonomy and influence architectural decisions.
- Skill in translating business requirements (especially marketing) into efficient data solutions.
- Desirable: Experience with marketing data (CRM, campaigns, segmentation, customer journey).
- Familiarity with data activation concepts and personalization at scale.
- Experience enabling data for Machine Learning and Artificial Intelligence.
- Knowledge of architectures for GenAI / LLMs (e.g., preparing data for RAG, embeddings, context engineering).
- Experience with advanced Databricks features, such as Genie or AI Workspace environments.
- Experience with real-time data ingestion (e.g., Kafka, streaming).
Benefits
- Transportation allowance and/or shuttle for positions at our distribution centers*
- Meal/Food voucher
- Christmas food basket
- Home office allowance (for hybrid or remote employment contracts)*
- Multi-use credit card
- Employee discount in our stores
- Medical insurance
- Dr. Be (telemedicine, telepsychology, nutritional coaching and sports coaching)
- Wellhub (Gympass)
- Programs and campaigns designed to promote self-care, health and well-being for our employees and their families
- Balance methodology applied with leadership and teams to strengthen communication and recognition, well-being and work style/tools
- Dental plan
- Univers - discounts at Raia and Drogasil pharmacies
- Pet health plan
- Running coaching
- Discounts at universities, schools, language and professional courses
- Discounted tickets for cinemas, parks and more.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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