Senior Machine Learning Engineer

Senior Digital Marketing Analyst

Intermediate / Senior Data Engineer

Senior AI Engineer

Data Engineer

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

Logistics Analyst

IAD / SAD / LAD GCP Data Engineer

Role Description: <ul><li>Working closely with the Data Scientists and be responsible for implementing large language models (LLMs) based applications, working with proprietary and open-source Models as well as popular frameworks such as Lang Chain to ensure seamless integration and deployment.</li></ul> Responsibilities: <ul><li>Building standalone applications that interact with LLM models.</li><li>Building RAG-based applications.</li><li>Understanding of Vector DBs like Solr for LLM based applications</li><li>Integrate models with existing systems and APIs.</li><li>Implement production quality ETL jobs</li><li>Preprocess and manage data for training and deployment.</li><li>Collaborate with cross-functional teams to define, design, and ship new features.</li><li>Write clean, maintainable, and efficient code.</li><li>Document development processes, code, and APIs.</li></ul> Requirements: <ul><li>Degree in Computer Science, Data Science, or related field.• Proven experience in building customer facing ML based APIs</li><li>Mexico City–based (or nearby), available to work onsite 2 days per week at Glorietadel Ahuehuete, Reforma.</li><li>Experience in developing applications that are scalable to handle TBs of data</li><li>Strong knowledge of API integration (RESTful, GraphQL).</li><li>Experience with data preprocessing, SQL, and NoSQL databases as well as vector stores (e.g., Postgres, MySQL, Solr, Elasticsearch/OpenSearch, etc.).</li><li>Familiarity with deployment tools (Docker, Kubernetes).</li><li>Experience with DevOps tools like Jenkins, Terraform, Cloud Formation templates is highly preferred.</li><li>Excellent problem-solving and communication skills.</li><li>Experience with Spark/Hadoop, EMR or any other Big Data technology would be a plus</li><li>Experience working on agents is considered a good-to-have</li><li>Familiarity with agents, even through courses Work in a way that works for you We promote a healthy work/life balance across the organization..</li></ul> Other Information: These are some of the benefits we are delighted to offer: <ul><li>Private Medical/Dental Plan.</li><li>Savings Fund.</li><li>Life Insurance.</li><li>Meal/Grocery Voucher.</li><li>We offer an appealing working prospect for our people.</li><li>With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.</li><li>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you.</li><li>We know that your well-being and happiness are key to a long and successful career.</li></ul>

Role Description: <ul><li>The Senior Digital Marketing Analyst is responsible for elevating digital experience, improving website navigation &amp; content findability, and driving search performance (onsite search, SEO, GEO) for the DDN business.</li><li>This role focuses on continuous digital experience optimization—identifying customer journey insights, improving content discoverability, increasing engagement, and partnering across COE, product, sales, and engineering teams to ensure DDN delivers an excellent digital experience for target customers.</li><li>In addition, this analyst will also support execution of DDN’s Account-based Marketing and Account-based Experience strategies.</li><li>The ideal candidate brings experience in web experience management, SEO, website &amp; customer journey analytics, digital UX improvements (ABM experience is a plus)—with a strong bias for data driven decision making and cross functional collaboration</li></ul> Responsibilities: 1. Website &amp; Digital Experience Ownership <ul><li>Own and manage DDN pages on client website, ensuring content clarity, navigation ease, and improved user experience.</li><li>Lead Digital Experience Enhancement Programs for DDN, including strategic planning, execution and measurement.</li><li>Identify and implement enhancements across customer journeys to improve engagement, path to product, and conversion.</li><li>Partner with COE for overall client website enhancements</li></ul> 2. Search &amp; Findability&nbsp; <ul><li>Lead search optimization efforts (internal client website search + external SEO/GEO) to improve content discoverability and product visibility.</li><li>Conduct keyword research, search insights analysis, and content optimization to increase targeted traffic.</li><li>Partner with COE Search and Product Data teams to improve taxonomy, product data quality, and metadata.</li></ul> 3. Digital Insights &amp; Customer Journey Analytics&nbsp; <ul><li>Analyze digital behavior using Adobe/Google Analytics to identify friction points and recommend improvements.</li><li>Develop insights dashboards and regular reporting on engagement, conversions, and client website performance.</li><li>Drive data driven recommendations to influence content strategy, navigation design, and digital channel optimization.</li></ul> 4. Cross Functional Digital CX Programs&nbsp; <ul><li>Partner with Product, Engineering, Sales and COE to align and execute digital experience improvement programs.</li><li>Support ABM and campaign teams by ensuring landing pages, product pages, and navigational flows are optimized for target personas.</li></ul> 5. Promotion &amp; Engagement Support <ul><li>Support digital promotions, sample campaigns and pipeline generation programs through website/UI enhancements.</li><li>Monitor client performance regularly and proactively suggest tests or improvements (A/B testing, content structure, CTA updates).</li></ul> Requirements: Qualifications <ul><li>Bachelor’s degree or above in Digital, Marketing or related field.</li><li>8+ years of experience in digital experience/marketing (B2B preferred).</li><li>Hands‑on experience with:</li><li>Website CMS (AEM preferred)</li><li>Analytics platforms (Adobe Analytics, Google Analytics)</li><li>SEO/SEM tools (SEMrush, Google Ads, Search Console)</li><li>UX research, customer journey mapping</li><li>HTML code is a plus</li><li>Strong analytical mindset with ability to translate insights into concrete actions.</li><li>Excellent communication and collaboration skills with experience influencing cross‑functional stakeholders.</li><li>Self‑driven, detail‑oriented, and comfortable working in a matrixed and fast-paced global organization.&nbsp;</li></ul>

Responsibilities: <ul><li>Designing, implementing, and optimising scalable data pipelines using Python, PySpark, and Databricks.</li><li>Driving the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar).</li><li>Taking ownership of end-to-end features — from scoping and development to deployment and monitoring.</li><li>Leading and participating in technical design discussions, contributing to architectural improvements and long-term data strategy.</li><li>Mentoring and coaching junior engineers actively while supporting their technical and professional development.</li><li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>Conducting peer code reviews, upholding code quality standards, and championing continuous improvement practices.</li><li>Contributing to the team’s agile delivery process and provide input during planning and retrospectives.</li></ul> Requirements: <ul><li>Have extensive experience in data engineering or backend software engineering with a data focus.</li><li>Be proficient in Python, PySpark, and working within Databricks environments.</li><li>Have hands-on experience designing and delivering data products via REST APIs, event-driven systems, or data sharing platforms like Databricks Delta Sharing.</li><li>Have a solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures.</li><li>Have experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling.</li><li>Have a proven track record of mentoring or coaching other engineers.</li><li>Have effective communication and collaboration skills, including the ability to explain complex concepts to non-technical stakeholders.</li><li>Be familiar with agile development practices</li></ul>

Role Description: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Transition legacy data systems to Databricks.</li><li>Build and maintain robust, scalable data pipelines.</li><li>Work closely with subject matter experts, product teams, and stakeholders to understand business logic.</li><li>Apply best practices in data engineering and programming.</li><li>Mentor junior engineers and contribute to knowledge sharing.</li><li>Participate in code reviews and technical discussions.</li></ul> Requirements: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul> Why Join Us <ul><li>Opportunity to work on a strategic, high-impact data platform transformation.</li><li>Exposure to cutting-edge technologies including Databricks and cloud platforms.</li><li>Collaborative, inclusive team culture with strong mentorship.</li><li>Clear opportunities for career growth and skill development.</li></ul>

Role Overview: <ul><li>We are building a new data engineering team to support a strategic move from legacy data estates to a modern data platform built on Databricks.&nbsp;</li><li>This role plays a key part in re-engineering existing systems, improving scalability, and enabling future innovation.</li></ul> Responsibilities: <ul><li>Lead the transition of legacy data systems to Databricks, ensuring reliability and performance.</li><li>Design, build, and maintain robust, scalable data pipelines to support analytical and operational use cases.</li><li>Collaborate closely with subject matter experts, product teams, and business stakeholders to understand and implement business logic accurately.</li><li>Apply data engineering and programming best practices to ensure high-quality, maintainable, and secure solutions.</li><li>Mentor junior engineers, fostering technical growth and promoting knowledge sharing across the team.</li><li>Participate in code reviews, architectural discussions, and technical decision-making to uphold engineering standards.</li></ul> Requirements:&nbsp; Required Skills &amp; Experience: <ul><li>Hands-on experience in software or data engineering roles.</li><li>Strong proficiency in Python and working knowledge of PySpark.</li><li>Experience or strong interest in Databricks.</li><li>Solid understanding of SQL and structured data.</li><li>Experience with cloud platforms (AWS preferred; Azure/GCP acceptable).</li><li>Familiarity with REST APIs and event-driven architectures.</li><li>Experience using Git or similar version control systems.</li><li>Strong problem-solving skills and collaborative mindset.</li></ul> Preferred Experience: <ul><li>Experience working on data platform modernization or migration projects.</li><li>Ability to refactor and improve legacy codebases.</li><li>Exposure to AI/ML data pipelines is an advantage.</li></ul>

Responsibilities:&nbsp; <ul><li>Architect, design, build, and maintain high-impact software systems that align with business objectives and uphold technical excellence.</li><li>Own end-to-end delivery of outcomes, ensuring solutions meet functional and non-functional requirements; proactively adapt strategy and execution when results diverge from goals.</li><li>Collaborate with senior engineers and cross-functional partners across global teams to drive a cohesive and scalable technical strategy.</li><li>Establish and champion engineering best practices, operational efficiencies, and technical standards to elevate the overall quality and effectiveness of the organization.</li><li>Lead, mentor, and support engineers through thoughtful design discussions, rigorous code reviews, and targeted coaching to promote continuous improvement and growth.</li></ul> Requirements: <ul><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Experience: 6+ years of software development experience, with a proven track record of technical leadership.&nbsp;</li><li>Tech Stack Mastery: Exceptional skills in Java, Spring Boot, SQL, and RESTful services.&nbsp;</li><li>Cloud Proficiency: Hands-on experience with public cloud services, preferably AWS.&nbsp;</li><li>Communication: Exceptional ability to collaborate across functional lines and with global, cross-geo teams.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead the architecture and design efforts, aligning with future scalability and business objectives.</li><li>Provide mentorship, set technical direction, and drive excellence in the team.</li><li>Establish technical roadmap with cross-functional teams and stakeholders, ensuring alignment with business objectives.</li><li>Simplify and break down complex requirements into manageable deliverables and milestones through development of technical specifications.</li><li>Ensure deliverables meet the functional and non-functional criteria, and drive changes proactively where outcomes are misaligned.</li><li>Promote a culture of continuous improvement by guiding other engineers through design, code, and operational reviews.</li></ul> Requirements: <ul><li>Deep Expertise: 10+ years of software development experience, with at least 3 years in a formal technical leadership role.&nbsp;</li><li>The Java Stack: You are an expert in Java, Spring Boot, and SQL, with a proven track record of building distributed services that dont fail.&nbsp;</li><li>Cloud Native: Extensive experience with public cloud services (we prefer AWS) and a deep understanding of fault-tolerant, distributed systems.&nbsp;</li><li>Strategic Vision: You can zoom out to see the business objective and zoom in to solve a granular technical bottleneck.&nbsp;</li><li>Collaborative Leadership: Exceptional communication skills. You can explain architectural trade-offs to stakeholders and inspire engineers in the same hour.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related technical field.&nbsp;</li></ul>

Responsibilities:&nbsp; <ul><li>Lead and own the architectural design of the cloud platform, ensuring solutions align with scalability requirements and long-term business objectives.</li><li>Define and execute the technical roadmap in collaboration with cross-functional stakeholders to advance the product vision.</li><li>Translate complex business requirements into clear technical specifications, actionable milestones, and high-quality deliverables.</li><li>Drive engineering excellence by proactively managing functional and non-functional requirements, and initiating corrective action when outcomes diverge from expectations.</li><li>Mentor and develop engineers through structured design, code, and operational reviews, fostering a culture of continuous improvement and technical rigor.</li></ul> Requirements: <ul><li>Experience: 10+ years of software development experience, with at least 3+ years in a technical leadership role.&nbsp;</li><li>Education: Bachelor’s or Master’s degree in Computer Science or a related field.&nbsp;</li><li>Deep Technical Expertise: Extensive mastery of Java, Spring Boot, and SQL.&nbsp;</li><li>Cloud &amp; Distributed Systems: Proven experience designing and operating modern cloud-native, fault-tolerant distributed services (preferably on AWS).&nbsp;</li><li>Architecture: Solid understanding of Microservices and REST API standards.&nbsp;</li><li>Quality Focus: Strong experience in writing Unit and API tests to ensure platform stability.&nbsp;</li><li>Soft Skills: Exceptional strategic thinking and the ability to communicate technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: Transportation Management <ul><li>Schedule and coordinate inbound and outbound transportation activities.</li><li>Monitor transportation providers’ performance to ensure on-time and cost-effective deliveries.</li><li>Optimize routing and logistics strategies to minimize transportation costs and improve efficiency.</li></ul> Warehouse Communication <ul><li>Maintain regular communication with warehouse teams to ensure timely receipt, storage, and dispatch of materials.</li><li>Conduct audits and inventory reviews to ensure accuracy and compliance.</li><li>Collaborate with warehouse teams to resolve discrepancies, delays, or operational issues.</li></ul> Material Handling <ul><li>Oversee the receipt, inspection, and verification of materials.</li><li>Coordinate proper storage, handling, and retrieval of materials.</li><li>Ensure compliance with safety, quality, and operational standards.</li></ul> Billing and Invoicing <ul><li>Manage logistics-related billing processes, ensuring invoice accuracy and completeness.</li><li>Investigate and resolve billing discrepancies with suppliers and service providers.</li><li>Maintain accurate records of invoices, payments, and related documentation.</li></ul> Customer Complaint Resolution <ul><li>Address customer complaints related to logistics and supply chain operations in a timely and professional manner.</li><li>Conduct root cause analysis and implement corrective and preventive actions.</li><li>Collaborate with customer service and internal teams to ensure customer satisfaction.</li></ul> Automation Processes <ul><li>Develop and implement automation solutions, including macros, robots, and custom code, to improve logistics and supply chain processes.</li><li>Identify opportunities for automation, process optimization, and efficiency improvements.</li><li>Collaborate with cross-functional teams to integrate automation solutions across systems and operations.</li></ul> Dashboard Development and Maintenance <ul><li>Design, develop, and maintain dashboards using tools such as Power BI and Power Automate to track key performance indicators (KPIs).</li><li>Ensure data accuracy, consistency, and relevance in reports and dashboards.</li><li>Work with stakeholders to gather requirements and support data-driven decision-making.</li></ul> Safety and Compliance <ul><li>Respond to internal and external audits, ensuring accurate and timely compliance reporting.</li><li>Ensure adherence to company policies, local regulations, and international standards related to transportation and storage.</li><li>Promote and maintain compliance with all applicable safety, legal, and regulatory requirements.</li></ul> Business Development and Project Coordination <ul><li>Participate in and coordinate regional strategic business development initiatives, including but not limited to:</li><li>New Resale Operations: Assess feasibility and support implementation of new resale operations in collaboration with cross-functional teams.</li><li>Transportation Mode Expansion: Evaluate alternative transportation modes, such as cabotage, to improve efficiency and reduce costs.</li><li>Warehouse Operations: Support the establishment and management of warehouses, ensuring regulatory compliance and operational efficiency.</li><li>Market Analysis: Conduct market research to identify trends, opportunities, and potential partnerships aligned with supply chain growth objectives.</li><li>Project Planning: Develop project plans, budgets, timelines, and track execution with key stakeholders.</li><li>Risk Assessment: Identify risks associated with new initiatives and propose mitigation strategies.</li><li>Documentation and Compliance: Ensure all required permits, licenses, and regulatory documentation are obtained and maintained.</li><li>Stakeholder Collaboration: Work with internal teams, external partners, and government agencies to facilitate approvals and successful implementation.</li><li>Reporting and Evaluation: Monitor, report, and evaluate project performance and its impact on logistics and supply chain operations.</li></ul>&nbsp;Requirements: Qualifications <ul><li>Bachelor’s degree in Logistics, Engineering, Supply Chain Management, or a related field (preferred).</li><li>Proven experience in logistics, transportation, or supply chain operations.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Excellent communication and interpersonal abilities.</li><li>Knowledge of quality management systems and standards (ISO 9000, ISO 14000, IATF, etc.).</li><li>Proficiency in logistics systems and Microsoft Office applications.</li><li>Hands-on experience with automation tools, macros, custom code, and dashboard development using Power BI and Power Automate.</li><li>Ability to work in a fast-paced environment and manage multiple priorities effectively.</li><li>Supply chain certifications (CSCP, CPSM, or similar) are an advantage.</li><li>Fluency in Portuguese and English is required; Spanish proficiency is a plus</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</li></ul>

Skills

Industry

Location

Jobtitle

36 x code Jobs found

Senior Machine Learning Engineer

Senior Digital Marketing Analyst

Intermediate / Senior Data Engineer

Senior AI Engineer

Data Engineer

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

Logistics Analyst

IAD / SAD / LAD GCP Data Engineer

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

36 x code Jobs found

Senior Machine Learning Engineer

Senior Digital Marketing Analyst

Intermediate / Senior Data Engineer

Senior AI Engineer

Data Engineer

Senior Software Engineer 1

Staff Software Engineer

Senior Software Engineer 2

Logistics Analyst

IAD / SAD / LAD GCP Data Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.