Lead Data Engineer

Blend360; Bogotá ciudad; Hybrid; COP 133,920,000 - 200,880,000; Full time

Benefits offered by this job

AWS/Databricks/Snowflake certs

Udemy Business access

English lessons

Job summary

Blend360 is seeking a Lead Data Engineer to design, build, and maintain enterprise data solutions. You will own the middle layer of the data pipeline, integrate diverse data sources, and optimize high-volume workloads for reliable dashboards.

You will collaborate with engineers and data product owners, manage AWS resources, and design data structures that minimize compute while supporting analytics across Tableau-ready datasets. Strong SQL, Spark, and ETL expertise required.

Qualifications

• 5+ years in Data Engineering or Data Architecture.
• Strong AWS experience for data processing.
• Proficiency in SQL and Spark.
• Experience building ETL pipelines and data integration.
• Independent problem-solving and collaboration with teams.
• Advanced English (B2+).

Responsibilities

• Own the middle layer of the data pipeline and integrate multiple data sources.
• Build and maintain ETL workflows with daily, weekly, monthly schedules.
• Develop and manage AWS processing resources and prepare datasets for analytics.
• Design data structures for efficient dashboard performance.
• Troubleshoot data discrepancies and adapt workflows as needed.
• Collaborate with engineers, developers, and data product owners.

Skills

+5 years in Data Engineering or Data /

AWS experience

SQL

Spark

ETL pipelines

Data integration

English (B2+)

Tools

AWS

Spark

Databricks

Snowflake

Job description

Job Description

We’re looking for a Lead Data Engineer with strong experience designing, developing, and maintaining enterprise data solutions. This role will be responsible for the design, structure, integration, and maintenance of data across data warehouses, operational data stores, and other enterprise data infrastructures.

The ideal candidate combines strong technical expertise in SQL, data engineering, ETL, data integration, and data architecture with strong analytical and problem-solving skills. This person will work closely with technical and business stakeholders to design reliable data solutions, optimize high-volume workloads, and ensure data is accurate, accessible, and fit for business needs.

What will you be doing?

• Own the middle layer of the data pipeline, combining Quantum interaction data with account, device, and other operational data sources.
• Build and maintain ETL workflows that transform data on daily, weekly, and monthly schedules.
• Develop and manage AWS processing resources, validate outputs, and prepare reliable datasets for Tableau.
• Design and maintain application data structures that minimize compute requirements and support efficient dashboard performance.
• Investigate data discrepancies, troubleshoot pipeline issues, and adapt workflows as application features and reporting needs evolve.
• Collaborate with the engineering lead, fellow data engineers, application developers, and data product owners as pipelines grow in complexity.

Qualifications

What are we looking for?

• + 5 years of experience in Data Engineering, Data Architecture, or a related field.

• Strong hands-on AWS experience, including managing resources for data processing.
• Proficiency in SQL and experience with Spark.
• Experience building ETL pipelines, integrating multiple data sources, and organizing data for analytics.
• An investigative mindset and the ability to independently work through ambiguous technical problems.
• A collaborative approach, with the ability to take ownership of assigned work within an established team.
• Advanced English (B2+)

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.

Travel opportunities to attend industry conferences and meet clients.

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.