Data Engineering Manager
Data Engineering Manager
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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 Snowflake and cloud technologies.
Design and implement solutions leveraging agent frameworks GenAI and chatbots for intelligent automation and user interaction.
Oversee CI/CD pipelines and ensure smooth cloud deployment of data and AI-driven applications.
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 Snowflake
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 Snowflake
Azure (preferred) AWS/GCP accepted
CI/CD Git data orchestration tools
Data modeling and ETL tools
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.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
