Senior / Lead / Manager Data Engineer
hace 2 semanas
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.
- 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.
- Familiarity with Azure.
- 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:
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.)
- Which data technologies have you worked with most extensively?
(e.g., SQL, Python, Snowflake, data pipelines, cloud platforms, please describe briefly.)
- How would you rate your English level for professional conversations?
Lugar de trabajo: Híbrido en Bogotá, Cundinamarca
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