Blend360

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 www.blend360.com

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

Job Description

We are looking for a Manager-level Data Engineer to lead a high-impact project for a global hotel brand. This role is ideal for someone with a strong technical foundation, proven experience in cloud-based data architecture, and the leadership skills to guide a small team and manage complex client dynamics.

You will work closely with business and technical stakeholders to ensure the successful design and implementation of robust, scalable data solutions. This position also requires a high degree of client engagement, strategic thinking, and the ability to navigate demanding expectations with professionalism and empathy.

What is this position about?

• Lead and manage the design, development, and deployment of scalable data pipelines and architectures using SQL, Python, Databricks, and cloud technologies.
• Act as the primary technical contact for the client, proactively managing communications, timelines, and expectations.
• Mentor and support junior data engineers, fostering a culture of collaboration, quality, and continuous improvement.
• Ensure data integrity, performance, and security across all stages of the data lifecycle.
• Contribute to architectural decisions and set standards for coding, testing, and deployment practices.
• Translate high-level business challenges into actionable data solutions.

Qualifications

Required Skills:

• 6+ years of hands-on experience in data engineering, with at least 1-2 years in a technical leadership or managerial role
• Proficiency with SQL, Python, and Databricks
• Experience building and maintaining cloud-based data solutions (Azure preferred, AWS or GCP also considered)
• Strong communication and stakeholder management skills, especially in client-facing contexts
• Proven ability to lead and inspire a technical team in a fast-paced, high-demand environment

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

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.