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Data Engineer Job Opening In Bogotá – Now Hiring Convatec


Job description

Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in advanced wound care, ostomy care, continence care, and infusion care.

With around 10,000 colleagues, we provide our products and services in almost 100 countries, united by a promise to be forever caring.

Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin to improved patient outcomes and reduced care costs.

Convatec's revenues in 2023 were over $2 billion.

The company is a constituent of the FTSE 100 Index (LSE:CTEC).

To learn more about Convatec, please visit

Are you a seasoned
Data & BI Engineer
looking for a role where you can truly make an impact?

Do you thrive on transforming complex data into actionable insights and building robust data platforms?

We're on a transformative journey to modernize our global data platform, and we're seeking a proactive and technically skilled professional with 5-7 years of experience to join our team.

This is a unique opportunity to contribute hands-on across the entire data engineering, modeling, and reporting lifecycle.

You'll start with foundational work like migrating from legacy systems to
Snowflake
, and progressively deepen your skills as you help us build advanced architectures in
Microsoft Fabric, Data Mesh, and SAP Analytics Cloud
.

If you're eager to learn, grow, and shape the future of our data landscape, we want to hear from you

Main Responsibilities:
Year 1–2: Foundation & Migration:

  • Support the migration from SQL Server, AAS, and SSIS/DataStage to Snowflake.

  • Build scalable and reusable data pipelines using dbt, Databricks, Fivetran, and HVR.

  • Recreate analytical models using Power BI and begin exploring Microsoft Fabric through POCs.
  • Integrate data from sources including such as SAP, CRM, and SharePoint.

  • Document metadata and support the implementation of Microsoft Purview.

Year 3–4: Transition & Maturity:

  • Develop and deploy Fabric-compatible data models and pipelines using OneLake.

  • Contribute to the decommissioning of Snowflake and full transition to Microsoft Fabric.

  • Support the rollout of SAP Analytics Cloud and Group Reporting.

  • Participate in the implementation of Data Mesh principles, including data domain ownership and stewardship.

  • Apply CI/CD practices (GitHub) and contribute to automated testing and data quality controls.

Key Requirements:

  • 5-7 years of experience as a Data Engineer, BI Developer or related roles.

  • Bachelor's Degree in Computer Science, Information Systems, Software Engineering, Data Science, Mathematics or Statistics, Engineering (with a strong data/technology focus).

  • Hands-on experience with at least one cloud data platform (e.g., Azure SQL, Snowflake, Databricks).

  • Knowledge / Experience in Machine Learning (Must)
  • Fluency in English is required for effective communication within our global team and with diverse stakeholders.

  • Proficient in SQL and data modelling (dimensional/star schemas).

  • Working knowledge of ETL/ELT tools like dbt, SSIS, or DataStage.

  • Experience creating reports and semantic models in Power BI.

  • Familiarity with Git-based version control and basic CI/CD workflows.

  • Eagerness to learn and grow into Microsoft Fabric, Data Mesh, and modern cloud-native data architectures.

  • Strong collaboration and communication skills; ability to work with business and IT stakeholders.

  • Detail-oriented with a commitment to data quality and process excellence

Good to Have:

  • Exposure to Microsoft Fabric, OneLake, or SAP Analytics Cloud is a plus (or strong motivation to learn).

  • Experience with metadata management tools like Microsoft Purview is an advantage.

  • Evidence of training or Certification(s) in: Microsoft Certified: Azure Data Engineer Associate / dbt Fundamentals Certification / Snowflake SnowPro Core Certification / Databricks Lakehouse Fundamentals / Power BI Data Analyst Associate (PL-300) / GitHub Actions or CI/CD tooling certifications.

Beware of scams online or from individuals claiming to represent Convatec
A formal recruitment process is required for all our opportunities prior to any offer of employment.

This will include an interview confirmed by an official Convatec email address.

If you receive a suspicious approach over social media, text message, email or phone call about recruitment at Convatec, do not disclose any personal information or pay any fees whatsoever.

If you're unsure, please contact us at

Equal opportunities
Convatec provides equal employment opportunities for all current employees and applicants for employment.

This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law.

Notice to Agency and Search Firm Representatives
Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting.

Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec.

No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral.

Thank you.

Already a Convatec employee?
If you are an active employee at Convatec, please do not apply here.

Go to the Career Worklet on your Workday home page and View Convatec Internal Career Site - Find Jobs.

Thank you

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer 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 Engineer in Bogotá, Colombia, highlighting market share and opportunities for professionals in Data Engineer roles.

67481 Jobs in Colombia
67481
2335 Jobs in Bogotá
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Download Data Engineer Jobs Trends in Bogotá and Colombia

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a 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 Convatec 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 Engineer 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 Engineer?

Key qualifications for Data Engineer 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 Engineer?

To improve your chances of getting hired for 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 Data Engineer Job Success

Convatec interview tips for Data Engineer

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

Before the Interview:

Research: Learn about the Convatec'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 Engineer interview at Convatec, 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 Convatec'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!

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