Jobs at Makro PRO

Design, develop, and maintain Power BI dashboards, reports, and data models. Collaborate with cross-functional teams and data engineers to ensure data accuracy, performance, and usability. Build DAX measures, Power Query transforms, enforce role-based security and governance, optimize report performance, and support CI/CD and knowledge sharing within Agile teams.

The Project Coordinator will support business initiatives by organizing project data, tracking progress, coordinating with teams, and preparing updates for management.

The Associate Director oversees category strategy, sourcing, supplier management, pricing, and promotional activities, ensuring operational efficiency and profitability in the fresh food sector.

Lead strategic planning, market research, and CEO/management-sponsored special projects end-to-end. Develop data-driven recommendations, build senior leadership materials, define KPIs, and drive cross-functional execution across merchandising, operations, marketing, and tech. Break initiatives into workstreams, manage risks, and ensure measurable business outcomes in retail and omnichannel contexts.

The Data Engineer will design, implement, and maintain data infrastructure, develop data pipelines and ETL processes, and ensure data quality and accessibility while mentoring junior engineers.

Lead media and data monetization strategy, negotiate partner agreements, define and track marketing KPIs, analyze campaigns and customer behavior for optimization, ensure data accuracy and compliance, and drive marketing product commercialization to increase revenue and identify new business opportunities.

Lead design, build, and scale enterprise data platforms and AI-ready infrastructure. Oversee ETL/ELT, batch/streaming pipelines, feature stores, RAG/LLM workflows, observability, governance, and productionization of AI/ML solutions while managing and mentoring a data and AI engineering team.

Build and maintain scalable data platforms and ETL/ELT pipelines for BI, analytics, ML, and LLM training. Collaborate with stakeholders and data scientists, design databases, manage data dictionaries, optimize performance, and deploy batch and streaming big data solutions using appropriate tools and frameworks.

The Senior Data Engineer will design and maintain data infrastructure, collaborate with teams to ensure reliable data processing and storage, and mentor junior engineers.

Design, develop, maintain, and secure POS applications; integrate with back-end services, payment gateways, and third-party APIs; perform code reviews and testing; troubleshoot issues; and document code and system configurations while collaborating with product owners.

This role involves participating in commercial rotations, supporting data analysis, driving retail growth, and learning to communicate insights effectively.

Lead the technical design, implementation, enhancement, and support of Oracle Fusion Cloud integrations with enterprise systems, ensuring accurate transaction recording and data synchronization across platforms.

Lead nationwide mid-mile transportation strategy, network design, and optimization. Own budgeting, cost savings, vendor management, and transportation governance. Drive digital transformation (TMS, control tower, AI routing, analytics), safety/compliance, sustainability, and lead a national transportation organization with leadership development and cross-functional collaboration.

Collect, preprocess, and analyze large retail datasets; design, train, and deploy ML models for forecasting, customer behavior, and inventory optimization; collaborate with engineers and stakeholders; create visualizations and dashboards; support feature engineering, MLOps, and data engineering as needed.

Drive engineering quality by defining testing strategies, building scalable automation frameworks, integrating automated tests into CI/CD, partnering with product owners, coaching engineers on testing practices, and improving observability and release processes to reduce production defects and increase deployment confidence.

Serve as the strategic bridge between business stakeholders and data/AI teams to identify, prioritize, and deliver AI, analytics, and automation solutions. Translate business needs into use cases and requirements, manage delivery backlogs, facilitate Agile ceremonies, define KPIs, and ensure solution adoption and data readiness.

Lead design and operation of a company-wide MLOps platform: define lifecycle, run model registry, implement drift and performance monitoring, evaluate/deploy feature store, audit/migrate production models, build standardized wrappers over classical ML libraries, integrate governance and CI/CD, mentor data scientists, and lead incident response.

Design, build, and maintain scalable data pipelines, ETL processes, data warehouses and lakes. Ensure data quality, security, and performant query access. Collaborate with analysts and data scientists, mentor junior engineers, evaluate new data technologies, and support data-driven decision-making.

Design, build, and operate enterprise data-platform services (API gateway, knowledge graph, event stream, semantic layer, data-product catalogue, vector search, anti-corruption patterns) and maintain Python/TypeScript SDKs, ensuring API-first contracts, governance, scalability, and observability for multi-team production use.

Build, operate, and automate enterprise data-governance tooling: PDPA compliance scanners, data-catalog automation, access-control/RLS sync, schema-governance CI, and AI model-governance evidence. Partner with data stewards, legal, security, and platform engineering to operationalize policies, maintain audit evidence, and reduce manual access-ticketing through self-service automation.