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Data Engineer

Data Engineer

BCG Platinion | Senior AI Tech Architect - AI Platforms

Boston Consulting Group (BCG)

Mexico City

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Who We Are

Boston Consulting Group (BCG) is a global consulting firm that partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Our success depends on a spirit of deep collaboration and a global community of diverse individuals determined to make the world and each other better every day.

BCG's Tech and Digital Advantage (TDA) practice focuses on helping clients deliver competitive advantage and superior business performance through the use of data, technology and digital. Platinion is the fastest growing practice at BCG and at the heart of the strategic impact we have with our clients. Our consultants and experts globally work across all industries and provide deep experience and expertise across a number of topics including Digital Transformation, Data & Digital Platforms, AI at Scale, Agile, Cybersecurity and Digitizing the Tech Function.

At BCG, we bring together the right people to conquer complexity, drive material change, and initiate positive, long-term impact. Explore our BCG Culture and Values for more information.

About BCG Platinion
BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale.

What You'll Do

Senior AI Tech Architects - AI Platforms at BCG Platinion are:

  • Collaborative. They are strong team players who work closely with engineers, data scientists, and architects to deliver AI platform components effectively.
  • Systems-Oriented. They contribute to the design and implementation of AI platform and agentic system components that solve real business problems.
  • Hands-on Technologists. They apply solid AI and software engineering skills to build, test, and improve AI platform capabilities.
  • Comfortable with ambiguity. They can operate effectively when requirements are evolving, adapting their technical approach as solutions take shape.
  • Delivery focused. They help teams adopt new AI capabilities by supporting implementation, integration, and operational readiness.
  • Agile contributors. They work within agile teams, iterating on designs and implementations as requirements and feedback evolve.
  • Curious and Innovative. They explore and apply modern AI platform and agentic patterns to improve solution quality and scalability.
  • Developing architects. They grow their architectural skills by combining hands-on implementation with exposure to broader system design decisions.
  • Reliable team members. They support senior architects and technical leads by executing assigned workstreams and contributing to high-quality AI platform solutions.

You’re Good At
We are seeking a Senior AI Tech Architect - AI Platforms to help design and implement intelligent, agentic AI platforms. This role is ideal for someone who enjoys hands-on development while growing their architectural skills. You will work closely with Lead and Principal Architects, contributing to AI platform implementations that integrate large language models (LLMs), data pipelines, and enterprise systems.

AI Architecture & Solution Design

  • Contribute to the design of AI and LLM-based system architectures with guidance from senior architects.
  • Implement agentic AI components that support intelligent workflow automation and task execution.
  • Build and extend RAG-based solutions for context retrieval, prompt workflows, and system integration.
  • Follow established architectural standards and contribute feedback to improve design patterns and practices.
  • Support implementation of batch and real-time inference pipelines with attention to performance and reliability.

Prototyping & Validation

  • Develop prototypes and technical proofs-of-concept to validate AI platform components and workflows.
  • Implement solutions using modern AI frameworks and libraries under architectural guidance.
  • Test and iterate on agentic workflows, prompts, and retrieval strategies to improve solution behavior.

Implementation Management and Support

  • Support implementation and deployment of AI platform components into development and production environments.
  • Assist with monitoring, troubleshooting, and improving system performance and reliability.
  • Follow defined standards for versioning, testing, and monitoring of AI services and models.

Communication and Collaboration

  • Communicate technical concepts clearly within the project team and with immediate stakeholders.
  • Support preparation of technical documentation and presentations.
  • Collaborate closely with engineers, data scientists, and product team members to deliver agreed solutions.
  • Participate in technical working sessions and design discussions, contributing ideas and implementation insights.
  • Seek and incorporate feedback from senior team members to improve technical output.

Team Management

  • Support junior team members through knowledge sharing and day-to-day collaboration.
  • Contribute positively to team culture and ways of working.
  • Seek feedback on work quality and incorporate guidance from senior architects.
  • Demonstrate professionalism and alignment with BCG’s culture and values.

Innovation and Growth

  • Current on emerging concepts in agentic AI, RAG, and AI platform tooling.
  • Experiment with new tools and techniques under guidance to expand technical skill sets.
  • Build depth in AI platform engineering through hands-on delivery experience.
  • Actively pursue learning opportunities to grow toward broader architectural responsibilities.
  • Contribute technical input to proposals or internal initiatives when needed.

What You'll Bring

  • 2+ years of experience in software engineering, data engineering, or AI-enabled system development.
  • BS in information technology, business administration, computer science, information systems, or system controls & engineering or a related field.
  • Hands-on experience building or integrating AI/ML or LLM-based components within business solutions.
  • Solid understanding of business workflows and functional use cases within at least one domain or industry.
  • Proficiency in one or more programming languages such as Python or JavaScript is good to have.
  • Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code, Replit, Lovable) to support development, debugging, and rapid iteration of AI solution components.
  • Familiarity with modern AI frameworks and libraries (e.g., LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar).
  • Working understanding of RAG, MCP, prompt orchestration, vector databases, and agent-based solution components.
  • Basic understanding of API integration and enterprise system connectivity.
  • Exposure to deploying AI solutions within cloud environments (AWS, Azure, or GCP).
  • Strong problem-solving skills and attention to quality and usability.
  • Ability to explain technical concepts clearly within a project team and to functional stakeholders.
  • Willingness to learn and grow in fast-paced, ambiguous consulting environments.
  • Agile mindset with focus on delivering measurable business value.
  • Business-fluent written and spoken English language skills.
  • Willingness to travel to work with clients and BCG teams as needed.
  • Gen AI fluency (e.g., proven usage of GenAI such as ChatGPT, Claude) and validation of response.

Additional info

What We Offer
At BCG, we care about our people, and offer best in class benefits to support you personally and professionally throughout your different life experiences including:

  • An opportunity to work organically across disciplines and across BCG, we offer a unified and unrivaled opportunity that combines strategic thinking with hands-on applications.
  • A unique experience to work alongside a team of passionate and driven problem-solvers with a mission to deliver innovative and valuable digital solutions in a supportive environment. BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. We offer multiple career paths for the world's best talent to have a real impact on business and society. As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next. We count on your authenticity, exceptional work, and strong integrity. In return we are committed to supporting you in discovering the most fulfilling career journey possible-and unlocking your potential to advance the world.

Total compensation for this role includes base salary, annual discretionary performance bonus, contributions to BCG’s retirement program, and a market-leading benefits package.

To learn more about our employee benefit please check our BCG Benefits page.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify.

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Data Engineer

Business Intelligence Manager

Merck Healthcare

Naucalpan de Juárez

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Описание вакансии

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role
At the intersection of commercial strategy and cutting-edge technology, this role is your opportunity to shape how data-driven intelligence powers healthcare decisions across the affiliate. As Manager, Business Intelligence, Data Science & AI, you will lead the design and delivery of analytics capabilities — from executive dashboards and predictive models to AI-powered automation tools — that directly accelerate commercial performance and strategic decision-making. You will own the end-to-end Business Intelligence agenda, integrating diverse data sources to generate insights that matter, and translating complex analytical findings into compelling narratives for senior leadership. Operating with considerable autonomy, you will define priorities, develop policies, and build solutions that position the affiliate at the forefront of commercial analytics in the pharmaceutical industry. This is a role for someone who combines deep technical expertise with strong business acumen and the ability to influence at the highest levels of the organization.

Who You Are

  • You hold a degree in Data Science, Computer Science, Engineering, Statistics, Economics, or a related field; a postgraduate qualification in Data Science, Artificial Intelligence, Analytics, or Business Administration is preferred.
  • You bring 5 to 8 or more years of experience in Business Intelligence within the pharmaceutical industry, with a strong track record in commercial analytics, market research, and supporting Marketing, Sales, and Leadership teams.
  • You are proficient in Power BI, advanced Excel, statistical modelling, and machine learning fundamentals for building predictive and prescriptive analytics solutions. Experience in Python and SQL is a plus.
  • You have hands-on experience developing AI agents, Generative AI solutions, and automation tools — including familiarity with large language model orchestration frameworks and responsible AI governance principles.
  • You demonstrate the ability to integrate and synthesize multiple commercial data sources — including syndicated market data, CRM platforms, digital analytics, and financial data — into coherent, actionable insights.
  • You communicate with clarity and confidence, translating complex analytical outputs into strategic narratives for executive audiences, and collaborating effectively across commercial, medical, and digital functions.
  • You demonstrate AI literacy — including a working understanding of how artificial intelligence technologies function, their practical business applications, ethical considerations such as bias and data privacy, and the governance frameworks that ensure responsible use in a commercial healthcare context.
  • You are fluent in Spanish (native level) and have advanced business-level proficiency in English.

What we offer:
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

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Data Engineer

Data Engineering Lead

adlytics GmbH

Mexico Citycontractlead

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Описание вакансии

Data Lead

Para laborar en CDMX/ GDL en esquema híbrido.

Requisitos

Indispensables

  • 10+ años de experiencia en roles de Data Engineering / Data Platform .
  • Experiencia sólida y hands-on en:
  • Databricks (Delta Lake, workflows, DAG).
  • Apache Airflow / Astronomer.
  • Python, SQL, dbt, AWS.
  • Experiencia comprobable implementando frameworks de CI/CD (Harness, GitHub Actions, Azure DevOps).
  • Comprensión profunda de:
  • Gobernanza de datos (catálogos, linaje, contratos, metadatos).
  • Técnicas de calidad de datos ( Data Quality ) y enmascaramiento de datos ( Data Masking ).
  • Plataformas de datos empresariales y ecosistemas de Data Marketplace .
  • Experiencia en integraciones basadas en APIs (ej. sistemas de derechos/acceso como AccessCentral ).
  • Manejo de herramientas de monitoreo y observabilidad (ej. Datadog ).

Responsabilidades

  • Liderar la arquitectura, desarrollo e implementación de soluciones de Data Engineering y Data Platform a nivel empresarial.
  • Construir y mantener workflows, DAGs y pipelines de procesamiento con Databricks (Delta Lake) y Apache Airflow / Astronomer.
  • Desarrollar y optimizar modelos y transformaciones de datos utilizando Python, SQL, dbt sobre infraestructura en AWS.
  • Diseñar e implementar pipelines automatizados de CI/CD utilizando Harness, GitHub Actions o Azure DevOps.
  • Implementar estrategias y controles de gobernanza de datos, linaje, contratos de datos, metadatos, calidad de datos y técnicas de enmascaramiento ( masking ).
  • Arquitectar e integrar plataformas empresariales de datos y ecosistemas de Data Marketplace .
  • Diseñar e implementar integraciones basadas en APIs con sistemas de entitlement (ej. AccessCentral).
  • Configurar, supervisar y mantener la observabilidad y monitoreo continuo de las plataformas con herramientas como Datadog.

Ofrecemos

  • Horario de Oficina
  • Esquema 100% nómina
  • Sueldo abierto a negociación de acuerdo a experiencia
  • Prestaciones de Ley
  • Prestaciones superiores (SGMM familiar, SV 1 millón, Vales de despensa, 30 días de aguinaldo, PTU)

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Data Engineer

Staff I Data Engineer - CORO Products

Bain & Company

Mexico City

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Описание вакансии

CVs must be submitted in English to be considered

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world's best places to work. We are currently the top ranked consulting firm on 

Glassdoor's Best Places to Work

 list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don't happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU'LL WORK WITH

Bain's Next Generation Software Solutions (NGSS) team is responsible for discovering, building, scaling, supporting, and maintaining software products that enable Bain's intellectual property and consulting solutions.

Within this broader team, you'll be embedded in 

Coro, Bain's proprietary B2B go-to-market software suite

. Coro delivers AI-accelerated data, analytics, and GTM tools — including MoneyMap, ProfitCube, Partner Sonar, and Coro Assist — that help revenue organizations identify opportunities, align commercial teams, and drive profitable growth at scale.

WHERE YOU'LL FIT WITHIN THE TEAM

As a Staff Data Engineer, you are the most senior individual contributor on Coro's data platform. You own the full lifecycle of the work, from translating business requirements into technical designs, through hands-on development, all the way to deployment and ongoing operations. You will take the lead on the most complex engineering problems, write the documentation others build from, and are the person junior engineers turn to when they're stuck. This is not a management role; it's the highest expression of craft and ownership on the engineering team that will include mentoring and peer leadership of junior engineers.

WHAT YOU'LL DO

Engineering & Solution Delivery (60%)

  • Define technical architecture for Coro's data platform, working with Senior Architects and Engineering Managers to validate designs, discuss trade-offs, and ensure long-term scalability and performance as the product grows.
  • Ensure data models adhere to best practices in security, normalization, naming conventions, primary/foreign key relationships, indexing, and constraints.
  • Author technical design documents, translate business requirements into engineering specifications, and lead the development team through execution.
  • Personally lead development of the most complex platform components while supporting teammates on advanced challenges.
  • Provide 3rd-level technical support and own resolution of major incidents, driving post-incident improvements.
  • Direct code deployments and maintain oversight of CI/CD pipelines, release management, and operational reliability.

Technical Leadership & Continuous Improvement (40%)

  • Drive innovation across the team — identify emerging technologies, lead knowledge sharing, and champion engineering excellence.
  • Lead technical discovery, POCs, and innovation work streams to validate new tools, architectures, and approaches.
  • Mentor junior and senior engineers, establishing a culture of high standards, continuous learning, and shared ownership.
  • Advise on opportunities to continuously improve speed, accuracy, repeatability, and maintainability through automation and tooling.
  • Collaborate with Bain's cloud and infrastructure team to refine processes, tooling, and operational approaches.
  • Drive visible CI/CD flow improvements with measurable impact on time to market, quality, cost, and uptime.
  • Support team in recruiting activities including resume review and technical interviews.

ABOUT YOU

Experience

5–8+ years of experience in the following areas:

  • Serving in a senior technical leadership role, architecting and operationalizing scalable cloud-based data platforms or software products.
  • Designing and building highly scalable Python-based data systems used in production by multiple teams or external clients.
  • Leading, mentoring, and growing teams of engineers across multiple products or work streams.
  • Partnering with senior stakeholders to advise on technical options given time, cost, and resource constraints.
  • Building and operating ETL/ELT pipelines at enterprise scale.
  • Python data tooling: pandas, Polars, PyArrow, DuckDB, or PySpark.
  • Workflow orchestration in code: Airflow, Dagster, Prefect, dbt, or Temporal.
  • Cloud data platforms: Snowflake, Databricks, BigQuery, or Redshift.
  • Multiple public clouds (AWS, Azure, GCP) and their Python SDKs.
  • Infrastructure as code and automation: Terraform, GitHub Actions, and CI/CD pipeline design.

Education

  • Bachelor's degree or an equivalent combination of education, training, and experience.

Knowledge, Skills & Abilities

  • Deep Python expertise across the full breadth of the language: typing, concurrency, performance profiling, packaging, and the standard library.
  • Software architecture fundamentals: system design, API contracts, modular decomposition, and scalability patterns.
  • Strong SQL, data modeling, governance, and privacy practices; ability to design and validate sound schemas at scale.
  • Able to communicate architecture and technical trade-offs to executive, business, and engineering audiences alike.
  • Demonstrated ability to mentor engineers and build engineering culture, not just deliver code.
  • Results-driven and entrepreneurial; able to navigate ambiguity and align teams around a clear technical direction.

Additional Qualifications

  • Streaming: Kafka, Kinesis, or Spark Structured Streaming.
  • Docker, Kubernetes, and cloud-native architecture.
  • Architecture cost optimization and cloud resource management.
  • A second language: Go, Rust, Scala, or TypeScript.
  • Generative AI, machine learning, or data science tooling.
  • Experience with service management and Agile tools (Azure DevOps, JIRA, or similar).

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Data Engineer

Expert tech Solutions

Nestlé

Mexico Cityfulltime

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Описание вакансии

Expert Technology Solutions
Position Snapshot:
Type of Contract:
Full Time

Function and Stream:
NUSA

Type of work:
Hybrid

Work Language:
Fluent Business English

The role:
The Expert Tech Solutions will support the effective use of analytics platforms such as Power BI, Power Automate, and Databricks within the U.S. market, ensuring these platforms are reliable, performant, secure, and aligned to business needs.

This role provides advanced platform solutions tailored to NUSA business needs while aligning with global standards, enterprise architecture direction, and platform governance expectations. The role acts as a primary liaison between business users, analytics teams, and platform teams, helping translate business priorities into scalable platform capabilities, driving best practices, resolving complex platform and performance issues, and accelerating delivery of high-value analytics use cases.

What you’ll do:
As a Expert Tech Solutions you will:

  • Support the adoption, effective use, and continuous improvement of analytics platforms such as Power BI, Power Automate, Databricks, and related analytics enablement capabilities.
  • Monitor, troubleshoot, and improve platform reliability, performance, scalability, usability, and operational health across analytics solutions, reports, workspaces, jobs, notebooks, pipelines, and integrations.
  • Provide advanced market-specific platform solutions aligned with business needs, global standards, enterprise architecture direction, security expectations, and platform governance requirements.
  • Act as a liaison between business users, analytics teams, data engineering, and platform teams to translate business needs into actionable platform support and optimization activities.
  • Drive best practices for analytics platform usage, including workspace organization, semantic model performance, report optimization, access management, monitoring, and cost-conscious usage.
  • Resolve complex platform, reporting, data access, performance, and integration issues through root-cause analysis, remediation, and continuous improvement actions.
  • Support secure and governed analytics delivery by applying standards for access controls, data protection, auditability, data quality, lineage, documentation, and operational controls.
  • Contribute to documentation, runbooks, knowledge articles, training materials, and standard operating procedures to improve self-service adoption and reduce operational friction.

We offer you:
We offer more than just a job. We put people first and inspire you to become the best version of yourself.

  • Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
  • Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
  • Hybrid working environment with flexible working scheme.
  • Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

Join our global team of IT professionals at Nestlé, driving daily innovation and leveraging cutting-edge technologies to address digital opportunities. Grow professionally in a dynamic and impactful environment, collaborating with business partners worldwide to deliver integrated technology solutions!

What will make you a great fit?

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, Data Management, or a related field; equivalent experience will be considered.
  • 4+ years of experience in analytics platform engineering, BI engineering, data engineering, data platform operations, platform support, or related technology roles.
  • Hands-on experience supporting analytics platforms such as Power BI, Power Automate, Databricks, Microsoft Azure, SQL-based platforms, cloud data services, or related BI and data engineering environments.
  • Strong understanding of BI and analytics delivery patterns, including semantic models, dashboards, reporting performance, workspace management, data refreshes, access controls, and governed self-service analytics.
  • Experience supporting Databricks or similar cloud data platforms, including jobs, notebooks, compute resources, platform configurations, monitoring, troubleshooting, and performance optimization.
  • Understanding of data pipelines, ETL/ELT frameworks, ingestion, transformation, orchestration, data quality, and structured, semi-structured, and unstructured data sources.
  • Ability to translate business needs into technical solutions, explain complex platform concepts clearly, and collaborate effectively with business users, analytics practitioners, data engineers, platform teams, and global IT stakeholders.
  • Strong communication, problem-solving, documentation, and stakeholder management skills, with fluency in English.

Preferred Qualifications:

  • Experience with Power BI administration, Power BI Premium/Fabric capacity concepts, DAX, data modeling, semantic model optimization, report performance tuning, and governed self-service BI practices.
  • Experience with Databricks capabilities such as Delta Lake, Unity Catalog, Databricks SQL, notebooks, jobs, workflow orchestration, workspace governance, cluster policies, and cost/performance optimization.
  • Familiarity with CI/CD, Git-based development, Infrastructure-as-Code, automation, monitoring, alerting, runbooks, root-cause analysis, and incident management practices.
  • Exposure to AI/ML enablement, AI-ready data foundations, feature engineering, vector search, or analytics patterns that support advanced analytics and GenAI use cases.
  • Certifications such as Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer, Azure Data Engineer, Databricks Data Engineer, or related analytics platform credentials are a plus.

Not a 100% match? No worries! Nestlé supports your personal growth with customized development solutions.
What you can expect in your application journey:

  • Hit apply and enter our job portal.
  • Submit your application with your CV.
  • We will contact relevant applicants.
  • Interviews (HR, Hiring team and stakeholders).
  • Feedback.
  • We make an offer.
  • Location dependent checks and pre-onboarding.
  • First working day.

About Nestlé:
We are Nestlé, the largest food and beverage company with brands including KitKat, Nescafé, Maggi, Purina, among many others. We are approximately 275,000 employees strong, motivated by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 94.4 billion sales in 2022, we have an expansive presence, with 344 factories in 77 countries. Want to learn more? Visit us at www.nestle.com.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

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BCG Platinion | Senior AI Tech Architect - AI PlatformsBoston Consulting Group (BCG) · Mexico

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