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Data Engineering Manager Job Opening In Bogotá – Now Hiring Blend


Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.

With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence.

The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.

We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.

For more information, visit

We are seeking a to contribute to our next level of growth and expansion.

Job Description
We're looking for a skilled
Data Engineer Manager
with strong experience in
Snowflake
and
Python
to help design and implement an end-to-end data architecture for a leading enterprise client's
marketing team
.

This role is part of a strategic initiative to enable robust analytics and insight generation for marketing and martech use cases.

In this role, you'll work closely with both Blend's internal teams and client stakeholders to
build and optimize data pipelines
, support data modeling efforts, and ensure reliable data flows for reporting, analytics, and operational workflows.

This position is ideal for engineers with a strong data foundation who are looking to apply their skills in
analytics, BI, and marketing tech environments
, while gaining exposure to modern data tools and scalable architectures.

You Will

  • Design and implement an end-to-end data solution architecture tailored to marketing analytics and martech needs.

  • Build, maintain, and optimize data pipelines and transformations using Python and Snowflake.

  • Support analytics and BI teams by ensuring clean, reliable, and well-modeled data.

  • Leverage tools like Fivetran and dbt (if available) to orchestrate ELT processes.

  • Collaborate with cross-functional teams to align on business goals and technical requirements.

  • Contribute to documentation and continuously improve engineering and data quality processes.

Qualifications
Qualifications

  • 6+ years of experience in data engineering.

  • Proficiency in Python for data workflows and pipeline development.

  • Strong experience in MLOps, including automation of machine learning pipelines, model deployment, and production monitoring.

  • Solid experience working with Snowflake or similar cloud data platforms.

  • Experience (or familiarity) with marketing data, martech tools, or marketing analytics use cases.

  • Understanding of analytics/BI environments and how data supports decision-making.

  • Exposure to tools like dbt and Fivetran is a plus.

  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

  • Strong communication and documentation skills.

  • Ability to thrive in collaborative, client-facing environments.

Preferred Qualifications

  • Hands-on experience with dbt, Fivetran, or similar modern data stack tools.

  • Familiarity with CI/CD pipelines or infrastructure-as-code practices.

  • Experience in client services, consultancy, or agency settings.

Language Requirements
You must have excellent written and verbal
English
communication skills.

Additional Information
Our Perks and Benefits:
Learning Opportunities

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.

  • Access to AI learning paths to stay up to date with the latest technologies.

  • Study plans, courses, and additional certifications tailored to your role.

  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.

  • English lessons to support your professional communication.

Mentoring And Development

  • Career development plans and mentorship programs to help shape your path.

Celebrations & Support

  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.

  • Company-provided equipment.

Flexible working options to help you strike the right balance.

Other benefits may vary according to your location in LATAM.

For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineering in Bogotá, Colombia, highlighting market share and opportunities for professionals in Data Engineering roles.

21773 Jobs in Colombia
21773
1037 Jobs in Bogotá
1037
Download Data Engineering Jobs Trends in Bogotá and Colombia

Are You Looking for Data Engineering Manager Job?

Great news! is currently hiring and seeking a Data Engineering Manager 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 Blend adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Data Engineering Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bogotá. 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 Data Engineering Manager?

Key qualifications for Data Engineering Manager typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineering Manager?

To improve your chances of getting hired for Data Engineering Manager, 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 Data Engineering Manager Job Success

Blend interview tips for Data Engineering Manager

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

Before the Interview:

Research: Learn about the Blend'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 Data Engineering Manager interview at Blend, 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 Blend'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 Data Engineering Manager Positions

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