Job Description
N-iX is expanding in Latin America, seeking a Senior Data Engineer to join its global software development team. This role involves building scalable, cloud-native data solutions and growing into a broader architecture role. The successful candidate will lead the technical delivery of modern data platform solutions, engaging with clients and internal stakeholders to design, implement, and optimize enterprise-grade data systems. This position offers flexible work options and collaboration on international projects within a vibrant, inclusive tech community.
Good To Have:
- Experience with Docker and Kubernetes
- Familiarity with Elasticsearch or other vector databases
- Understanding of DBT (data build tool)
- Ability to travel abroad twice a year for on-site workshops
Must Have:
- Design, build, and maintain robust data pipelines within Databricks
- Collaborate with international teams to develop scalable data solutions
- Debug complex issues in data pipelines and enhance system performance and reliability
- Set up Databricks environments on cloud platforms (Azure/AWS)
- Automate processes using CI/CD practices and infrastructure tools like Terraform
- Create and maintain detailed documentation, including workflows and operational checklists
- Develop integration and unit tests to ensure data quality and reliability
- Migrate legacy data systems to Databricks
- Participate in defining data governance and management strategies
- 5+ years of proven experience as a Data Engineer
- Advanced proficiency in Python for developing production-grade data pipelines
- Extensive hands-on experience with Databricks platform
- Strong knowledge of Apache Spark for big data processing
- Familiarity with cloud environments, specifically Azure or AWS
- Proficiency with SQL and experience managing relational databases (MS SQL preferred)
- Practical experience with Airflow or similar data orchestration tools
- Strong understanding of CI/CD pipelines and experience with tools like GitLab
- Solid skills in debugging complex data pipeline issues
- Proficiency in structured documentation practices
- B2 level or higher proficiency in English
- Strong collaboration skills, ability to adapt, and eagerness to learn
Perks:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
N-iX is expanding in Latin America! As a global software development company, we unite over 2,400 professionals across Europe and the Americas, delivering innovative solutions for industry-leading enterprises and Fortune 500 companies. Recognized as a Great Place to Work in Colombia, we invite you to join our growing team, enjoy flexible work options, collaborate on international projects, and thrive in a vibrant, inclusive tech community.
We are looking for a Senior Data Engineer who is passionate about building scalable, cloud-native data solutions and eager to grow into a broader architecture role. You will lead the technical delivery of modern data platform solutions while engaging with clients and internal stakeholders to design, implement, and optimize enterprise-grade data systems.
Key Responsibilities:
- Design, build, and maintain robust data pipelines within Databricks.
- Collaborate closely with international teams, including data scientists and architects, to develop scalable data solutions.
- Debug complex issues in data pipelines and proactively enhance system performance and reliability.
- Set up Databricks environments on cloud platforms (Azure/AWS).
- Automate processes using CI/CD practices and infrastructure tools such as Terraform.
- Create and maintain detailed documentation, including workflows and operational checklists.
- Develop integration and unit tests to ensure data quality and reliability.
- Migrate legacy data systems to Databricks, ensuring minimal disruption.
- Participate actively in defining data governance and management strategies.
Qualifications:
- 5+ years of proven experience as a Data Engineer.
- Advanced proficiency in Python for developing production-grade data pipelines.
- Extensive hands-on experience with Databricks platform.
- Strong knowledge of Apache Spark for big data processing.
- Familiarity with cloud environments, specifically Azure or AWS.
- Proficiency with SQL and experience managing relational databases (MS SQL preferred).
- Practical experience with Airflow or similar data orchestration tools.
- Strong understanding of CI/CD pipelines and experience with tools like GitLab.
- Solid skills in debugging complex data pipeline issues.
- Proficiency in structured documentation practices.
- B2 level or higher proficiency in English.
- Strong collaboration skills, ability to adapt, and eagerness to learn in an international team environment.
Would be a plus:
- Experience with Docker and Kubernetes.
- Familiarity with Elasticsearch or other vector databases.
- Understanding of DBT (data build tool).
- Ability to travel abroad twice a year for on-site workshops.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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