Senior Data Engineer

Applaudo

Medellín

Presencial

COP 191.879.653 - 268.631.514

Jornada completa

14 días+

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Descripción de la vacante

A forward-thinking tech company located in Medellín, Colombia, is seeking a Senior Data Engineer. This role involves designing, building, and maintaining scalable data pipelines while collaborating with analytics and AI teams. Candidates should have over 5 years of experience, strong SQL skills, and proficiency in Python. The position offers a fast-paced work environment with a focus on trust, teamwork, and innovation. A full-time commitment is expected with great perks including medical insurance and modern workspaces.

Formación

5+ years of experience as a Data Engineer.
Strong expertise in SQL with performance tuning knowledge.
Experience designing data models and analytical structures.

Responsabilidades

Design and maintain scalable data pipelines.
Implement and optimize ETL/ELT workflows.
Collaborate with analytics and product teams.

Conocimientos

SQL expertise

Data pipeline development

Cloud platforms (AWS, Azure, GCP)

Python proficiency

ETL/ELT workflows

Advanced English proficiency (B2+)

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Airflow

Snowflake

PostgreSQL

Git

Descripción del empleo

You are a Senior Data Engineer who enjoys building reliable, scalable data platforms and enabling data-driven and AI-powered products. You feel comfortable owning data pipelines end to end, working closely with analytics and AI/Data Science teams, and translating complex data problems into robust technical solutions.

You value clean architecture, performance, and data quality, and you’re curious about AI/ML integrations even if you’re not a model builder. You thrive in collaborative environments and can operate with autonomy while guiding best practices across teams.

You Bring to Applaudo the Following Competencies:

Bachelor’s degree or higher in Computer Science, Computer Engineering, or related field — or equivalent professional experience.
5+ years of experience as a Data Engineer, building and operating production-grade data pipelines.
Strong expertise in SQL, including advanced joins, CTEs, window functions, and performance tuning.
Experience designing data models and analytical structures (dimensional models, facts, dimensions, SCDs).
Hands‑on experience building ETL/ELT pipelines using modern orchestration tools (Airflow, Dagster, DBT, or similar).
Proficiency in Python for data processing and pipeline development (PySpark is a strong plus).
Solid experience working with cloud platforms (AWS, Azure, or GCP) for data storage and processing.
Familiarity with data platforms such as Snowflake, Databricks, PostgreSQL, or similar.
Experience using Git and CI/CD practices as part of a modern data engineering workflow.
Exposure to supporting AI/Data Science initiatives, such as data enablement for models, embeddings, entity matching, or advanced analytics (nice to have).
Familiarity with graph databases, embeddings, or AI integrations from a data engineering perspective (nice to have).
Ability to work independently and collaborate effectively with analysts, ML engineers, and product teams.
Advanced English proficiency (B2+), able to work with global stakeholders.

You Will Be Accountable for the Following Responsibilities:

Design, build, and maintain scalable data pipelines and ingestion processes supporting analytics and AI use cases.
Implement and optimize ETL/ELT workflows with attention to performance, reliability, and cost.
Design and evolve data models and curated layers to support reporting, analytics, and downstream systems.
Collaborate with analytics, AI/Data Science, and product teams to understand data requirements and SLAs.
Support AI and advanced analytics features by providing clean, well‑structured, and reliable datasets.
Apply best practices around data quality, validation, monitoring, and observability.
Write maintainable, well‑documented data code and contribute to shared standards and patterns.
Participate in architecture discussions and help improve overall data platform design.
(If senior/lead‑leaning) Support or mentor less‑experienced data engineers as the team grows.

Additional Information

Here at Applaudo Studios values trust, communication, respect, excellence and teamwork are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Perks and Benefits