Analytics Engineer Especialista I (Supply Chain) at Jobgether

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics Engineering, Data Modeling, SQL, Google BigQuery, Python, dbt, Airflow, Google Cloud Platform, Dimensional Modeling, CI/CD, Git, Agile Methodology, Data Lakehouse Architecture, Data Pipeline Optimization, Software Engineering Practices, Stakeholder Management

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analytics Engineer Especialista I (Supply Chain) in Brazil. This role sits at the core of a large-scale, data-driven supply chain ecosystem, where fragmented operational data is transformed into a trusted single source of truth for critical business decisions. You will act as a key technical reference, bridging engineering and business needs while designing robust data models that support logistics, planning, and production at scale. The environment is highly collaborative and analytical, requiring strong ownership of data architecture, performance, and reliability. You will contribute directly to the evolution of modern data platforms, ensuring high-quality, well-structured, and cost-efficient data assets. This is a senior technical role with mentorship responsibilities, shaping best practices and elevating the analytical maturity of the team. Your work will have a direct impact on operational efficiency and decision-making across a complex supply chain network. \n Accountabilities: Lead technical guidance and mentorship for analysts and engineers, promoting best practices, conducting code reviews, and raising the team’s analytical maturity. Design and maintain scalable data models in BigQuery, translating complex supply chain and business rules into efficient dimensional structures. Build and enforce a strong data engineering culture using dbt for testing, documentation, and data quality monitoring. Partner closely with product managers and business stakeholders to understand requirements, diagnose operational challenges, and propose end-to-end data solutions. Optimize data pipelines and SQL queries to improve performance, scalability, and cost efficiency across large datasets. Develop and maintain automated data workflows using Python and orchestration tools such as Airflow or equivalents. Ensure adherence to software engineering practices, including Git versioning, CI/CD pipelines, and structured code reviews. Support agile delivery practices, ensuring continuous and predictable value delivery across data initiatives. Requirements: Strong experience as an Analytics Engineer or Data Engineer focused on analytical data modeling. Advanced SQL expertise, including complex queries, window functions, and performance optimization in Google BigQuery. Solid experience in dimensional modeling and data lakehouse architectures for analytical consumption. Strong proficiency in Python for automation, data pipelines, and analytical processing. Hands-on experience with Google Cloud Platform and modern cloud-based data environments. Experience with Airflow or similar tools for orchestration and workflow management. Strong understanding of software engineering practices, including Git, CI/CD, and code reviews. Ability to work in ambiguous environments and translate business needs into precise technical solutions. Experience working in agile environments with iterative delivery and cross-functional collaboration. Nice to have: experience with APIs, retail or supply chain data, Looker/Tableau, GenAI tools, and FinOps optimization. Benefits: Comprehensive health, dental, and wellness benefits including mental health support and telemedicine. Food allowance options (meal or food voucher, including holiday bonus). Remote/hybrid flexibility with home office support where applicable. Childcare, education, and family support benefits, including extended parental leave. Discounts on products and access to exclusive employee programs. Gym and wellness partnerships to support physical well-being. Financial security benefits including life insurance, pension plans, and loan options. Learning, development, and internal mobility opportunities within a large-scale innovation ecosystem. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Lead the design and maintenance of scalable data models in BigQuery to create a single source of truth for supply chain operations. Provide technical mentorship to analysts and engineers while optimizing data pipelines and workflows using Python and Airflow.