Senior Data Engineer

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Data EngineerFull-time Compensation: MXN 55000 - MXN 70000 - monthlyCompany DescriptionAt NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking for a Sr  Data Software Engineer to join our NIQ Activate Technology team in CDMX, Mexico. This is a remote work environment. NIQ Activate is a leading provider of AI-powered customer analytics, personalization, and brand collaboration platform. Serving dozens of retailers and brands across the world using cutting-edge Big Data, real-time analytics, and data-science automation. Our solution is disrupting existing data & media monetization models by enabling retailers to remain in control of their revenue. Job DescriptionAs a Data Software Engineer, you will be responsible for building new data solutions for our rapidly expanding customer base and working with the top data ingestion technologies, working with a team of amazing, diverse-minded, and bright people who make an impact, generate creative & innovative ideas, and take on new perspectives. Responsibilities Own end-to-end data flows from requirements and architecture through implementation and production operations, including Data acquisition, Data set acceptance criteria, and Data Science integration.  Design and build scalable batch and real-time data pipelines and lakehouse solutions with a focus on large-scale data processing.  Take responsibility to explore technologies to scale up the Data ecosystem to handle rapid Big Data growth.  Partner with Data Science to productionize ML/AI workloads and ensure smooth integration into products. Collaborate with cloud, DevOps, application, and client teams to deliver robust, secure, and scalable solutions that solve meaningful business problems. Evaluate and adopt new technologies and patterns to evolve the data ecosystem as scale and complexity grow. Qualifications3+ years of hands-on Data Engineering building and operating production-grade Data Systems and Pipelines (Data-Intensive, Distributed Processing, Databases). B.Sc. / M.Sc. in Computer Science, Computer Engineering, or equivalent. Proficiency in Python; working proficiency in Scala. Strong expertise with at least one major cloud provider (AWS, Azure, or GCP). Strong experience with Big Data processing (Spark, DataBricks) and event streaming (Kafka). Experience with orchestration and platform tooling such as Airflow; ability to build maintainable DAGs and operationalize workflows. Strong SQL skills and experience with data storage systems plus at least one of: Data Lake/Lakehouse, columnar DB, or NoSQL systems. Hands-on experience with containers and Kubernetes (Helm is a plus) and modern CI/CD practices. Familiarity with LLM workflow frameworks (LangChain/LangGraph). Proven experience designing, building, and owning production-grade data pipelines (batch and/or streaming), including reliability, backfills, and SLA-driven delivery. Ability to learn new technologies and work in a dynamic fast-paced environment. Result-driven, pragmatic, and innovative.  Strong analytical skills, with an open and proactive mindset to investigate, learn, and propose solutions; highly self-driven and self-taught. Strong English communication skills, both written and verbal. Nice to have Experience with Delta Lake and/or Apache Iceberg; ML lifecycle tools such as MLflow. Experience with Pandas/Polars and building data services/APIs (e.g., FastAPI). Experience building LLM-powered agents / chat assistants (RAG, tool/function calling, workflow or multi-agent orchestration), using modern frameworks and platforms. Infrastructure as Code (Terraform/Pulumi/CloudFormation) and cloud security fundamentals (IAM, secrets, encryption). Experience with observability tooling (metrics/logging/tracing) and cost/performance optimization for distributed workloads. Experience building applications...