**Senior / Lead / Manager Data EngineerJoin a High\-Impact Data Engineering Team** We're looking for **Senior Data Engineers, Lead Data Engineers, and Data Engineering Managers** to join a fast\-growing data team building **scalable, production\-grade data platforms**. If you enjoy solving complex data problems, working with large\-scale systems, and influencing how data products are built, this role is for you. This is a hands\-on opportunity with real ownership, modern tooling, and strong technical leadership impact. **What You'll Do** * Design, build, and maintain **robust, scalable data pipelines**. * Consolidate, standardize, and process large volumes of structured and unstructured data. * Develop and optimize data warehouse solutions that power multiple products. * Implement automated **data quality checks**, monitoring, and best practices. * Build and improve shared tools and libraries to accelerate data ingestion and development. * Collaborate closely with Engineering, Product, Infrastructure, and Data teams. * Review code, contribute to architecture discussions, and drive engineering standards. * Create and maintain clear technical documentation. * Participate in an on\-call rotation. **At Senior \& Lead levels:** * Mentor and support other data engineers. * Lead technical initiatives and influence architectural decisions. **At Manager level:** * Lead and support a team of data engineers while remaining hands\-on. * Set priorities, remove blockers, and ensure successful delivery. * Coach team members, provide continuous feedback, and support career growth. **What We're Looking For** * Strong experience in **Data Engineering** roles. * Advanced skills in **SQL**. * Experience working with Azure. * Strong proficiency in **Python**. * Experience working with **APIs**, structured, and unstructured data. * Experience processing and analyzing large datasets. * Experience with data warehouse technologies such as **Snowflake** or **VMWare Greenplum**. * Ability to work effectively in fast\-paced, time\-sensitive environments. * Strong communication skills and a collaborative mindset. **Nice to Have** * Experience leading projects or teams. * Knowledge of **DataOps** best practices. * Experience delivering **SaaS** platforms. * Experience with **data modeling**. * Retail or high\-volume data experience. **Why You'll Want This Role** * Work on **large\-scale, real\-world data challenges**. * Have **real ownership** over data pipelines and architecture. * Grow your career across **Senior, Lead, and Manager** paths. * Collaborate with strong engineers who value clean, scalable solutions. * Build systems that matter and operate at scale. **How to Apply** Apply directly through this posting or send your resume to: **liss.cardenas@nuaav.com** **If you're ready to take ownership, influence architecture, and grow your data engineering career, we'd love to hear from you. Apply now.** Tipo de puesto: Tiempo completo, Indefinido Pregunta(s) de postulación: * How many years of experience do you have working as a Data Engineer? (Please specify your total years of professional experience.) * How would you rate your English level for professional conversations? * Do you have experience in Data Migration projects? * How much experience do you have with Snowflake/Databricks or Greenplum? * How much experience do you have in SQL, Python, data pipelines, and Azure? (Please mention years of experience) Lugar de trabajo: Híbrido en Bogotá, Cundinamarca