Senior Data Engineer (Databricks)

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 www.blend360.com  

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

We are looking for a Senior Data Engineer to join a high-impact project for a global hotel brand. This role is ideal for someone with a strong technical foundation, experience designing and implementing cloud-based data solutions, and the ability to work autonomously in a fast-paced, client-facing environment.

You will collaborate with both technical and business stakeholders to develop scalable, secure, and high-performing data pipelines and architectures using SQL, Python, Databricks, and cloud technologies. This position requires strong problem-solving skills, a strategic mindset, and the ability to own and drive technical solutions end-to-end.

What is this position about?

• Design, build, and deploy scalable data pipelines and architectures using SQL, Python, Databricks, and cloud platforms.

• Serve as a key technical point of contact for the client, supporting planning, implementation, and delivery.

• Work independently to translate business requirements into reliable, efficient data solutions.

• Ensure data quality, integrity, performance, and security throughout the data lifecycle.

• Contribute to architectural decisions and best practices for development, testing, and deployment.

• Collaborate closely with cross-functional teams to ensure alignment between data initiatives and business goals.

Required Skills: 

• 3–4 years of experience in data engineering roles.

• Strong knowledge of SQL and Python.

• Hands-on experience with Databricks and at least one cloud platform (Azure preferred; AWS or GCP also valued).

• Solid understanding of data modeling, ETL processes, and performance optimization.

• Excellent communication skills and ability to interact with client-facing teams.

• Strong sense of ownership, accountability, and attention to detail.

Nice to Have Skills: 

• Experience with Azure Data Factory, Synapse, or related tools 

• Exposure to SQL servier

• Background in the hospitality or travel industry 

• Experience managing challenging or evolving client relationships with  diplomacy 

Tools & Technologies: 

• SQL, Python, Databricks 

• Azure (preferred), AWS/GCP accepted 

• CI/CD, Git, data orchestration tools 

• Data modeling and ETL tools 

Education: 

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

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.