To a Future With More Cheers
Senior Data Engineer – Personalization
Location
Belgium
Posted
94 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Engineer – Personalization
AB InBev
• Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES. • Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling. • Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products. • Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others). • Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.
Job Requirements
- Degree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;
- Advanced English;
- Assess scalability, reliability, security, and compliance implications of data pipeline designs.
- Understand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.
- Evaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis.
- Evaluate data quality processes and controls to ensure accuracy and completeness.
- Apply debugging techniques to identify and resolve cross-module issues.
- Implement monitoring, alerting, and failure handling mechanisms in architecture designs.
- Assess effectiveness of CI/CD principles and practices in automated pipelines.
- Design, develop, and maintain APIs for data exchange between applications.
- Apply Agile practices to plan, execute, and deliver data engineering tasks and projects.
Benefits
- Performance based bonus*
- Attendance Bonus*
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off*
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer
RYZ LabsRYZ Labs is a startup studio built in 2021 by three lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. Passion for the early phases of company creation Attracting the brightest talents to build industry-defining companies in a post-pandemic world Remote and distributed teams throughout the US and Latam Use of cutting-edge technologies in cloud computing Aim to provide diverse product solutions for different industries Plans to build a large number of startups in the upcoming years Our Values and What to Expect Customer First Mentality - every decision we make should be made through the lens of the customer. Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated. Ownership - step up if you see an opportunity to help, even if not your core responsibility. Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect. Frugality - being frugal and cost-conscious helps us do more with less. Deliver Impact - get things done most efficiently. Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
Role Description At Ryz Labs we are looking for a Senior Data Engineer role to join one of our clients' teams. The main goal of this role is to own solution design and delivery for complex customer data platforms while mentoring junior engineers. - Design end-to-end data architectures using BigQuery OR Snowflake - Own dbt project structure, modeling standards, and testing - Write and review advanced Python pipeline code - Optimize warehouse performance and cost - Act as primary technical contact for customers - Translate ambiguous business requirements into technical solutions - Mentor junior engineers - Maintain US timezone overlap Qualifications - 5–7 years of data engineering experience - Expert SQL and data modeling skills - Strong hands-on BigQuery OR Snowflake experience - Advanced Python engineering (modular, reusable code) - Deep dbt experience - Proven customer ownership and communication skills - Experience working in high pace and growth environments Requirements - Trusted technical advisor for customers - Scalable, cost-efficient solutions - Reduced rework and production issues
Senior Data Platform Engineer
QventusQventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients.
Role Description As a Senior Data Platform Engineer, you will be instrumental in driving the strategic evolution and design of our data platform investments and data pipelines, working in close partnership with Architects. You will provide technical leadership in identifying, monitoring, and driving initiatives that ensure our data platform remains scalable, reliable, and efficient amidst evolving product demands. - Lead scoping and execution of critical improvements to our data platform to maintain overall system health and improve data observability in lieu of changing product needs, and to optimize innovation velocity. - Support production ML Ops functionality and advance the quality of our core ML & LLM platform capabilities. - Partner strategically with data science, analytics, and data engineering leads and Architects to gather feedback and drive the development of scalable platform solutions that unlock new features within the defined architectural framework. - Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions. - Support solution development; translate product/analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.). Qualifications - Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike. - 4+ years of hands-on experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs. - Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML. - Experience building, designing, and/or developing on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse). - Experience working with Databricks and deployed production grade pipelines. - Python and DBT SQL. Requirements - Proficiency in interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills with the ability to translate these insights into recommendations for platform improvements that align with the overall architecture. - Relevant industry certifications in various Data Architecture services (SnowPro Advanced Architect, Azure Solutions Architect Expert, AWS Solutions Architect / Database, Databricks Data Engineer / Spark / Platform etc.). - Experience designing and supporting multi-cloud architectures (particularly for ML / AI systems). - Experience with data visualization tools and analytics technologies (Sigma, Looker, PowerBI, etc.). - Degree in Computer Science, Engineering, or related field. - Experience working with healthcare data and HIPAA data protection. Benefits - Open Paid Time Off. - Paid parental leave. - Professional development. - Wellness and technology stipends. - A generous employee referral bonus. - Employee stock option awards.
Role Description We are seeking a SAS Viya Engineer/Developer to design, build, and manage data pipelines, analytics workflows, and data engineering processes using SAS Viya. This role focuses on transforming and governing data, implementing DataOps practices, and optimizing legacy workloads while enabling high-performance analytics through distributed processing. Key Responsibilities: - Design and manage data pipelines and analytics workflows using SAS Viya - Build, schedule, and execute complex ETL/ELT processes for large-scale data - Prepare, transform, and govern data across the SAS data lifecycle - Implement DataOps practices including automated data scanning, profiling, and quality checks - Utilize CAS distributed computing for parallel data processing and performance optimization - Manage data access, lineage, and cataloging to support data governance - Integrate SAS Viya with external sources (SQL databases, Spark, and big data platforms) - Migrate and optimize legacy SAS jobs into the SAS Viya lifecycle - Collaborate with developers and stakeholders to improve data workflows and performance Qualifications - 5+ years of experience in data engineering, analytics engineering, or SAS platform development - Hands-on experience working within SAS Viya environments - Experience supporting enterprise or mission-critical data platforms - Strong experience with SAS Viya and CAS distributed computing architecture - Experience designing ETL/ELT pipelines for big data environments - Understanding of DataOps principles and automation for data quality and governance - Experience with data lineage, access controls, and data cataloging - Integration experience with SQL databases and Apache Spark - Experience optimizing and migrating legacy SAS workloads - Must be US Citizen with ability to obtain Public Trust Clearance Requirements - Preferred Certification: SAS Certified Specialist: Administration of SAS Viya Benefits - Competitive compensation with opportunities for bonuses - Employer-paid health care - Training and development funds - 401k match
• Design and build modern data-centric software applications to support clinical and operational processes across all parts of the healthcare system • Leverage cloud computing, big data, data science, and modern software development methodologies and frameworks • Build data pipelines and transformations, data enrichment processes, provisioning layers, and user interfaces • Mentor and assist less experienced Data Engineers • Participate in research and development of new technologies
