Senior Data Engineer at SunnyData | Mexico

At SunnyData, we are dedicated to guiding our clients on their data journey, enabling them to harness the power of data for their business success. We believe that a robust foundation is essential for achieving exceptional data-driven outcomes, which include highly scalable architectures, resilient data engineering pipelines, user-friendly data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. As a Senior Data Engineer, you will play an essential role in this transformative journey. You will collaborate directly with internal teams and clients to design, develop, and implement data solutions that capture, analyze, transform, and leverage data to facilitate insights in AI, ML, and Business Intelligence.The Impact You Will HaveContribute to a team focused on addressing the data engineering needs of both new and existing clients.Advise clients on optimal technical decisions to meet their objectives.Manage multiple client accounts, tracking and reporting on their progress effectively.Design, build, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data quality enhancements.Evaluate data sources to assess their value and recommend inclusion in analytical processes.Incorporate essential data management practices, including data governance, security, and quality.Collaborate within and across teams to support successful delivery and educate users on data products and analytics environments.Conduct data and system analysis to identify defects and resolve incidents of moderate complexity.Test data movement, transformation code, and data components rigorously.What We Look ForA minimum of 5 years of relevant experience in data engineering and data product development.Proficiency in one or more of the following technologies:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)A solid grasp of the complete data analytics workflow.A proven track record demonstrating domain expertise and the ability to comprehend technical requirements effectively.

Embark on an exciting journey in the dynamic world of data engineering with SunnyData!At SunnyData, we are dedicated to empowering our clients in their data-driven endeavors. We understand that a robust infrastructure is essential for achieving exceptional results through data: scalable architectures, resilient data pipelines, user-friendly data consumption layers, and precise machine learning and AI applications. As a Data Engineer, you will be instrumental in guiding our customers on this transformative path. Collaborating closely with both internal teams and clients, you will design, develop, and implement data solutions that capture, analyze, transform, and leverage data to support insights in Artificial Intelligence, Machine Learning, and Business Intelligence.Your ImpactContribute to a team focused on addressing the data engineering requirements of new and existing customers.Provide expert guidance to customers to facilitate informed technical decisions that align with their objectives.Manage and oversee multiple customer accounts, tracking and reporting on their progress.Architect, construct, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and propose data cleansing and quality strategies.Evaluate data sources to ascertain their relevance and recommend integration into analytical workflows.Integrate essential data management principles, including governance, security, and quality assurance.Collaborate across teams to facilitate delivery and educate end users on data products and analytical environments.Conduct data and system analyses, addressing and rectifying moderate complexity defects and incidents as necessary.Test data movement, transformation code, and associated data components.Qualifications We SeekEnthusiastic individual with a strong desire for continuous learning. Exceptional time management and prioritization skills are essential.Proficient English communication skills, both verbal and written.Availability for either part-time (6 hours) or full-time (8 hours) positions.Experience with public cloud platforms such as AWS, Azure, or GCP is advantageous.Preferred: Familiarity with Data Engineering technologies (e.g., Spark, Hadoop, Kafka).

Join SunnyData, a premier partner of Databricks, dedicated to delivering innovative solutions that empower our clients through scalable architecture, efficient data engineering pipelines, and cutting-edge machine learning and AI applications. As a Senior Fullstack Developer, you will be an integral part of a dynamic, cross-functional team, utilizing your expertise and creativity to develop sophisticated, scalable systems. Collaborate in a fast-paced environment, overcoming challenges while adhering to best engineering practices.Your Contributions Will Include:Developing outstanding products by leveraging teamwork, creativity, and a passion for solving complex problems.Promoting sustainable engineering methodologies, such as Test-Driven Development (TDD) and Continuous Integration/Continuous Deployment (CI/CD).Utilizing your solid technical foundations across a modern technology stack including Python, JavaScript/TypeScript, RESTful APIs, Angular, React, Svelte, Express, Docker, and Cloud platforms (AWS or Azure).Collaborating closely with UI/UX designers to transform innovative concepts into user-friendly and technically sound data solutions.

At SunnyData, we are dedicated to empowering businesses by constructing highly scalable architectures and robust data engineering pipelines. Our focus is on simplifying data consumption and developing advanced ML and AI applications that yield exceptional business results. As a Senior Machine Learning Engineer, you will spearhead intricate data projects, devise predictive models, and implement scalable machine learning solutions. Collaborating with cross-functional teams, including engineering, product, and analytics, you will extract actionable insights that influence critical business strategies.Your ImpactLead the design, development, and deployment of innovative machine learning models.Utilize large, complex datasets to derive valuable insights and construct predictive analytics pipelines.Partner with data engineers to design and enhance cloud-based data solutions.Convert business challenges into data-driven solutions using statistical modeling and machine learning methodologies.Streamline data workflows and model deployment processes leveraging cloud services and CI/CD tools.Guide junior data scientists and contribute to the establishment of best practices in model development.Effectively communicate findings and strategic insights to stakeholders and executive leadership.Desired QualificationsOver 5 years of experience in data science or machine learning roles.Expertise in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.Solid foundation in statistics, A/B testing, and machine learning algorithms.Proven experience in building and deploying models in production environments.Knowledge of MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).Exceptional communication and leadership abilities.Preferred QualificationsExperience with big data tools (Spark, EMR).Familiarity with containerization (Docker, ECS, EKS) and serverless architecture.EducationBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.

About SunnyData: At SunnyData, a prominent partner in Databricks technology, we are committed to enabling our clients with scalable architectures, efficient data engineering pipelines, and innovative applications in machine learning (ML) and artificial intelligence (AI). As a Solutions Architect, you will play a crucial role in ensuring customer success through both technical execution and pre-sales assistance.Your Impact:Customer Engagement: Act as a trusted advisor, helping clients navigate their data engineering and architecture needs, particularly with Databricks solutions. Your efforts will be evenly split between billable projects and pre-sales activities.Technical Leadership: Design, build, and implement data solutions that effectively capture, transform, and utilize data to bolster AI, ML, and business intelligence initiatives.Pre-Sales Support: Partner with sales teams to showcase technical solutions to potential clients, illustrating the value of SunnyData's offerings.Project Management: Oversee multiple customer accounts, ensuring timely delivery of solutions and effectively tracking progress to communicate outcomes.Solution Architecture: Develop data solutions while adhering to best practices in data governance, security, and quality assurance.Data Evaluation: Assess data sources for their potential value and recommend strategies for data inclusion to enhance analytical processes.Cross-Functional Leadership: Lead internal teams, providing guidance and mentorship to project teams, while educating end users on data products and analytic environments.Problem Solving: Conduct system analyses, identify and rectify data and system defects, and implement necessary corrections.Quality Assurance: Validate data movements, transformation code, and data components to ensure accuracy and reliability.

As a Senior Business Analyst at Sunnydata, you will play a pivotal role in driving strategic initiatives and providing critical insights to propel our business forward. Your analytical skills will be put to the test as you work with cross-functional teams to identify opportunities for improvement and develop data-driven solutions that enhance operational efficiency.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic team at NielsenIQ. As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines that drive our analytics and reporting capabilities. You will work closely with data scientists, analysts, and other stakeholders to ensure high-quality data is readily available to support business decisions.Your expertise in data architecture and engineering will help us enhance our data processing capabilities and ensure scalability and performance of our data solutions.

Kavak is reshaping the used car market across Latin America with an AI-first approach, operating in several countries and recently securing a $300M investment led by Andreessen Horowitz. The company’s AI-driven business model supports areas like conversational commerce, generative marketing, and large-scale data insights. With rapid growth and top regional ratings, Kavak continues to expand its team to advance AI initiatives. Role overview The Senior AI Data Engineer will play a central role in developing and scaling Kavak’s Databricks-based data platform, which uses a data mesh architecture. This platform acts as the intelligence backbone for the company, supporting bots, agents, and teams across Mexico, Turkey, and the Middle East. The position focuses on building and refining datasets that drive business outcomes and supporting data architecture for the organization’s AI strategy. This is a hands-on technical role for someone who brings a strong product mindset and understands how data shapes business decisions. Rather than simply processing tickets, the Senior AI Data Engineer will engage directly with business challenges, designing data solutions that create measurable impact. What makes Kavak talent stand out Deliver impact: Prioritize initiatives that drive results and raise standards through technology and data. Engage fast: Address challenges proactively, make timely decisions, and adapt quickly while maintaining quality. Engage with purpose: Take ownership and align work with Kavak’s vision and values. Play to win together: Value team success over individual achievements. Location Mexico City

Role overview Lingarogroup is hiring a Data Engineer with Azure expertise for its Mexico-based team. The position focuses on building and maintaining data pipelines that gather information from sources such as databases, APIs, and streaming platforms. The primary objective is to ensure smooth, accurate data flow and integration, preparing data for downstream use. Key responsibilities Design and build data pipelines to efficiently ingest data from multiple sources. Integrate and transform data to fit target models and formats. Create and optimize storage solutions, including data lakes and data warehouses. Use partitioning, compression, and indexing to enhance storage and retrieval performance. Identify performance bottlenecks and tune queries for faster data access. Work closely with data scientists, analysts, and business stakeholders to understand their requirements. Deliver structured and optimized datasets for analysis and modeling. Explain complex technical concepts in clear terms to non-technical team members. Mentor junior data engineers, sharing best practices and technical insights. Work style Work independently and take responsibility for solutions from initial design through delivery. Contribute actively within Agile and Scrum teams.

About Arkham TechnologiesArkham Technologies is a pioneering Data & AI Platform that offers a comprehensive suite of robust tools aimed at unifying your data and applying advanced Machine Learning and Generative AI models to tackle your most intricate operational challenges. Our platform is trusted by industry leaders, including Circle K, Mexico Infrastructure Partners, and Televisa Editorial, to streamline data access, automate complex workflows, and enhance operational efficiency. By leveraging our platform and implementation services, clients benefit from significant time savings, cost reductions, and a solid foundation for sustainable Data and AI transformation.About the RoleWe are seeking a highly skilled Senior Data Engineer to take ownership of our high-performance Data Platform, built on the innovative Lakehouse architecture. In this pivotal role, you will engage with cutting-edge technologies such as Apache Spark, Trino, and Delta Lake, ensuring data governance and interoperability across various platforms. You will significantly influence our data infrastructure, managing the entire data lifecycle from ingestion through transformation to activation.

ALTEN México is actively seeking a Senior Cloud Developer. The ideal candidate will possess extensive experience in data architecture, cloud ecosystems (specifically GCP), and the development of robust, scalable solutions tailored to meet business needs. The selected individual will be responsible for designing, implementing, and optimizing architectures and developments within GCP, ensuring efficiency, quality, and adherence to best technical practices.Main ResponsibilitiesDefining data architecture to meet new requirements.Conducting requirement analysis to assess technical feasibility and the impact of integrating new data sources.Designing and implementing scalable and efficient data solutions.Defining and executing improvements to the data ecosystem in GCP (processing, monitoring, and cost management).Developing robust and scalable applications using GCP services based on user needs.Conducting testing to ensure quality and performance.Establishing and applying best practices.

Join our innovative team at Instructure as a Senior Data Engineer. In this pivotal role, you will design and implement robust data architectures and pipelines that drive our data initiatives. You will collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring data quality, integrity, and accessibility.

Join Wizeline as a Senior Data Analyst, where you will leverage your analytical skills to drive data-informed decisions and influence business strategy. You will work closely with cross-functional teams, transforming complex data into actionable insights. This role offers the opportunity to work with cutting-edge tools and technologies in a dynamic environment.

Join Dropbox as a Data Engineer and play a pivotal role in shaping our data infrastructure. In this position, you will work remotely from Mexico, collaborating with teams across the globe to ensure our data systems are robust, scalable, and efficient.

Join inetum2 as a Data Engineer in Mexico City, where you will have the opportunity to work on cutting-edge data solutions. In this role, you will be responsible for designing, developing, and maintaining data pipelines and architecture that support our analytics and business intelligence initiatives.

jobgether is hiring a Senior Data Engineer based in Mexico. This position focuses on designing and implementing data solutions that support business goals and improve how the company uses information. Role overview The Senior Data Engineer will work closely with colleagues from different teams to understand data needs, build reliable data pipelines, and maintain high data quality across multiple platforms. The work involves analyzing requirements, optimizing workflows, and supporting the development of advanced analytics. What you will do Design and implement data architectures that meet business and technical requirements Develop and maintain efficient data pipelines Collaborate with cross-functional teams to gather and clarify data needs Monitor and improve data quality across systems Contribute to projects that advance the company’s use of analytics Requirements Experience in data engineering and architecture Ability to build and optimize data workflows Strong analytical and problem-solving skills Comfort working with teams across different functions

Join a leading IT company that is making significant strides across Latin America! We are seeking a talented and experienced GCP Data Engineer to contribute to our growth and success.Proven expertise in data governance is essential.Strong background in data architecture, including proficiency in Data Lakes, Lakehouse, and contemporary Data Warehouses. You should also have hands-on experience with data quality implementation, automated validation, metadata management, technical lineage oversight, schema handling, and security protocols, particularly with respect to PII management.Hands-on SQL skills and familiarity with governance tools such as data catalogs, lineage tracking, and data quality solutions are highly advantageous.Fluent conversational skills in both English and Spanish are a must. (Assessment will be conducted).If you are a foreign national residing in Mexico, please ensure you possess a valid INE, CURP, NSS, and RFC.

ALTEN México is seeking a Senior Ariba Consultant (Certified) to join our dynamic team immediately for an exciting project. The ideal candidate will possess robust experience in implementing Ariba Strategic Sourcing (Sourcing, SLP, Contracts) and Ariba Network. This role requires strong technical skills for configuration and functional validation, as well as the ability to collaborate effectively within multidisciplinary teams in fast-paced environments.Main ResponsibilitiesDevelop functional designs, workbooks, and technical documentation.Configure and validate features of Ariba Strategic Sourcing (Sourcing, SLP, Contracts) and Ariba Network.Conduct testing and provide support during production releases.Document processes and ensure quality assurance in functional deliverables.Collaborate with internal IT and business teams to ensure proper implementation of solutions.

ALTEN Mexico is a proud subsidiary of the ALTEN Group, an internationally recognized leader in engineering and technology consulting.At ALTEN Mexico, we are at the forefront of engineering innovation, providing cutting-edge solutions for a diverse range of sectors, including Automotive, Energy, Aeronautics, Banking & Insurance, Telecom & Multimedia, and Rail. Our talented team of over 250 professionals is dedicated to excellence in project design development, testing, programming, implementation, and manufacturing.We are on the lookout for an Interiors Design and Release Engineer who will take charge of component and system level design, development, validation, timing, and production release specifically for the COCKPIT area.This role entails full ownership of the early validation process and functionality of components, ensuring that all system and vehicle level functional objectives are achieved. You will also conduct component and system level validation testing.The responsibilities also include overseeing the comprehensive release of components, which involves managing the Bill of Materials, creating CAD drawings, conducting validation testing at various levels, handling engineering change management, and developing Design Verification Plans. Further duties will consist of issuing engineering change notices, reviewing and approving FMEAs, DVP&Rs, supporting prototype builds, resolving issues, and providing launch production support.

Lab49 is on the lookout for a talented and experienced Senior Data Engineer to bolster our dynamic team in Mexico City. The perfect candidate will bring a wealth of knowledge in data engineering technologies, particularly in managing market and credit counterparty risk platforms, alongside a robust understanding of the financial services landscape. If you excel in a collaborative, agile setting and are adept at constructing scalable, high-performance data platforms, we invite you to connect with us.