Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: LATAM Data Engineer.
Colombia Jobs Expertini

Urgent! LATAM - Data Engineer Job Opening In Colombia, Colombia – Now Hiring Releady

LATAM Data Engineer



Job description

OVERVIEW

The Data Engineer is responsible for designing, building, and maintaining scalable, high-performance data pipelines and infrastructure to support advanced analytics, machine learning, and business intelligence initiatives.

This role operates primarily within a Microsoft Azure/Fabric ecosystem and collaborates closely with AI ML Engineers, BI teams, and business stakeholders to ensure data is reliable, accessible, and optimized for downstream use.

RESPONSIBILITIES

Data Pipeline Development & Management

  • Design, build, and optimize ETL/ELT pipelines for ingestion, transformation, and delivery of business-critical data.

  • Implement medallion architecture (bronze/silver/gold layers) to standardize data for downstream consumption.

  • Automate data collection, processing, and reporting workflows to improve efficiency and reduce manual effort.

  • Ensure high-quality, reliable data by performing validation, monitoring, troubleshooting, and performance tuning.

  • Integrate APIs, data flows, and orchestration processes across the Microsoft ecosystem.

Collaboration & Analytics Enablement

  • Partner with AI ML Engineers, BI teams, and business stakeholders to structure data for analytics, forecasting, and ML initiatives.

  • Contribute to the re-architecture and modernization of the company's data platform, ensuring scalability and alignment with business objectives.

  • Maintain clear documentation of data models, pipelines, and integrations for transparency and knowledge sharing.

Data Quality & Governance

  • Implement systems to monitor data quality, ensure data integrity, and enforce security standards.

  • Audit, track, and improve data processes to comply with organizational standards and regulatory requirements.

  • Support version control, Agile workflows, and best practices using Git, Jira, and Confluence.

Continuous Improvement & Innovation

  • Analyze large-scale data systems to identify performance improvements and optimizations.

  • Stay current with emerging data engineering tools, technologies, and trends, including AI/ML applications.

  • Actively contributes to the team's culture of collaboration, innovation, and operational excellence.

Why You Will Love the Team:

  • Work alongside a powerful technology workforce driving innovation and business impact.

  • Professional development opportunities with exposure to international customers and projects.

  • Collaborative and inclusive environment that encourages learning and growth.

QUALIFICATIONS

  • Bachelor's degree in Computer Science, Engineering, or a related field.

  • 5+ years of experience as a Data Engineer or in backend/data-intensive systems.

  • Expertise in ETL/ELT design, data integration, and pipeline orchestration.

  • Proficiency in SQL and Python for data processing and automation.

  • Hands-on experience with Microsoft Azure stack: Azure Fabric, Azure Data Factory, Azure Data Lake, SQL Server.

  • Familiarity with medallion architecture (bronze/silver/gold) and modern data warehouse practices.

  • Knowledge of data modeling, version control (Git), and Agile tools (Jira, Confluence).

  • Strong problem-solving skills with the ability to optimize and improve large-scale data systems.

Preferred Skills:

  • Familiarity with AI and ML applications, with willingness to learn and implement algorithms.

  • Strong statistical foundation to support data-driven modeling and analytics.

Schedule:

  • Full-time, 40 hours/week; standard schedule Monday–Friday.

  • Some after-hours or weekend work may be required to support deployments or major projects.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor.

We are committed to creating a diverse and inclusive environment for all employees.


Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your LATAM Data Potential: Insight & Career Growth Guide


  • Real-time LATAM Data Jobs Trends in Colombia, Colombia (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for LATAM Data in Colombia, Colombia using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 28954 jobs in Colombia and 592 jobs in Colombia. This comprehensive analysis highlights market share and opportunities for professionals in LATAM Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for LATAM Data Engineer Job?

    Great news! is currently hiring and seeking a LATAM Data Engineer to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Releady adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying Colombia laws and regulations
  • What Is the Average Salary Range for LATAM Data Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Colombia. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for LATAM Data Engineer?

    Key qualifications for LATAM Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for LATAM Data Engineer?

    To improve your chances of getting hired for LATAM Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for LATAM Data Engineer Job Success
    Releady interview tips for LATAM   Data Engineer

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Releady's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your LATAM Data Engineer interview at Releady, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Releady's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for LATAM Data Engineer Positions

    Setting up job alerts for LATAM Data Engineer is easy with Colombia Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!