Senior Data Engineer – Airflow

**We are:**

**Wizeline**

, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve.

**Are you a fit?**

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

We are seeking a

**Senior Data Engineer**

with strong expertise in

**Apache Airflow**

to play a key role in a critical data platform migration initiative. In this hands-on senior role, you will help drive the transition from

**PySpark, Athena, and BigQuery**

to a modern data stack centered on

**Snowflake and dbt**

, using

**Airflow**

for orchestration. You will contribute to defining scalable data architectures, ensuring data quality and governance, and collaborating closely with cross-functional teams to shape the future of our data platform.

**Location & Work Model**

- **Location:**

Medellín or Bogotá, Colombia

- **Work model:**

**Hybrid – 3 days onsite and 2 days remote (home office)**

**Key Responsibilities**

**Migration Strategy & Execution**

- Contribute to and execute the data migration strategy from

**BigQuery, Athena, and PySpark**

to

**Snowflake**

.

- Design, develop, and maintain scalable

**ELT pipelines**

using

**Apache Airflow**

for orchestration and

**dbt**

for data transformation.

- Implement robust data validation, reconciliation, and monitoring processes to ensure data integrity and accuracy during and after migration.

**Data Architecture & Engineering**

- Design and optimize data models and schemas in

**Snowflake**

, applying best practices for performance, cost efficiency, and maintainability.

- Develop reusable, well-tested, and well-documented data transformations and pipelines.

- Apply data engineering best practices, coding standards, and CI/CD pipelines in the dbt/Snowflake environment.

- Partner with data architects, product owners, and stakeholders to translate business requirements into reliable technical solutions.

**Collaboration & Technical Leadership**

- Provide technical guidance through code reviews, design discussions, and knowledge sharing.

- Support and mentor other data engineers, fostering a culture of technical excellence and continuous improvement.

- Collaborate with analytics, data science, and operations teams to ensure data solutions meet downstream needs.

**Data Governance & Quality**

- Ensure compliance with data security, privacy, and governance standards.

- Proactively identify and resolve data quality issues, performance bottlenecks, and pipeline failures.

**Stakeholder Communication**

- Communicate technical concepts, progress, and risks clearly to both technical and non-technical stakeholders.

- Contribute to planning, estimation, and delivery of data engineering initiatives in an agile environment.

**Must-have Skills (Remember to include years of experience)**

- **Bachelor’s Degree**

in Computer Science, Engineering, or a related quantitative field.

- **7+ years of experience**

in data engineering or related roles.

- Strong hands-on experience with

**Apache Airflow**

for workflow orchestration and pipeline management.

- Extensive experience with

**Snowflake**

, including data modeling, performance tuning, and cost optimization.

- Solid mastery of

**dbt (data build tool)**

for data modeling, transformation, testing, and documentation.

- Expert-level

**SQL**

skills, including query optimization and performance tuning.

- Proficiency in

**Python**

for data processing, automation, and scripting.

- Strong understanding of data warehousing concepts,

**ELT/ETL pipelines**

, and dimensional modeling.

- Familiarity with

**PySpark, Athena, and BigQuery**

as source systems.

- Experience with

**Git/GitHub**

and CI/CD methodologies.

- Excellent analytical, problem-solving, and communication skills.

- Ability to work independently and collaboratively in a fast-paced, agile environment.

- **English level:**

Fluent (spoken and written).

**Nice-to-have:**

- **AI Tooling Proficiency:**

Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.

- Previous experience participating in large-scale cloud data migrations.

- Exposure to data governance frameworks and data quality tooling.

- Experience working closely with analytics and data science teams.

**What we offer:**

- A High-Impact Environment

- Commitment to Professional Development

- Flexible and Collaborative Culture

- Global Opportunities

- Vibrant Community

- Total Rewards

\\*Specific benefits are determined by the employment type and location.

Find out more about our culture

here

.

are determined by the employment type and location.