Bogotá D.C.
Open 5 months, first seen by us 153 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement a unified data warehouse and/or data lake
Build and maintain ETL/ELT pipelines from enterprise source systems
Establish data quality standards, validation rules, and anomaly detection
Implement cataloguing, lineage tracking, and documentation
Translate business requirements into data models and pipeline logic
Design and implement a unified data warehouse and/or data lake capable of serving multiple analytics and AI workloads.
Build and maintain ETL/ELT pipelines consuming data from multiple enterprise source systems (ERP, CRM, operational tools, and others).
Establish and enforce data quality standards, validation rules, and anomaly detection processes.
Implement data cataloguing, lineage tracking, and documentation practices to ensure transparency and auditability.
Translate business requirements from non-technical stakeholders into robust data models and pipeline logic.
Minimum 5 years of professional experience in data engineering or a closely related field.
Expert-level proficiency in SQL — including complex query design, performance tuning, and schema modeling.
Hands-on experience with Databricks for large-scale data processing and pipeline orchestration.
Proven experience designing and implementing data warehouse or data lake solutions at enterprise scale.
Professional-level proficiency in Spanish; working English is a strong advantage.
Open 5 monthsWe first saw this posting 153 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 153
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Gea’s usual: its jobs come down by about day 40.
From 11,224 similar postings that came down, and 9 of Gea’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Minimum 5 years of professional experience in data engineering or a closely related field. - Expert-level proficiency in SQL — including complex query design, performance tuning, and schema modeling. - Hands-on experience with Databricks for large-scale data processing and pipeline orchestration.
- Build and maintain ETL/ELT pipelines consuming data from multiple enterprise source systems (ERP, CRM, operational tools, and others). - Develop pipelines using Databricks (Lakeflow Connect) & Azure Data Factory as primary platforms. - Ensure pipeline reliability, scalability, and observability through monitoring, alerting, and logging.
- Expert-level proficiency in SQL — including complex query design, performance tuning, and schema modeling. - Hands-on experience with Databricks for large-scale data processing and pipeline orchestration. - Proven experience designing and implementing data warehouse or data lake solutions at enterprise scale.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Responsibilities / Tasks
Data Architecture & Infrastructure
Pipeline Development & Integration
Data Quality & Governance
Collaboration & Stakeholder Engagement
Continuous Improvement
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Bogotá D.C.
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