Data Engineer (Snowflake & Python)

• Experience integrating engineering productivity tools and developer platforms.
• Knowledge of observability ecosystems and engineering telemetry frameworks.
• Experience working with SIEM platforms and security-related event data.
• Familiarity with modern data orchestration and workflow automation tools.
• Experience delivering analytics and reporting products for leadership audiences.
• Exposure to AI engineering tool usage analytics and adoption measurement.

High english level is required.

• English C1

- 23 days of Annual Leave plus the 24th and 31st of December as discretionary days!

- Numerous benefits (Heath Care Plan, Internet Connectivity, Life and Accident Insurances).

- `Retribución Flexible´ Program: (Meals, Kinder Garden, Transport, online English lessons, Heath Care Plan...)

- Free access to several training platforms

- Professional stability and career plans

- UST also, compensates referrals from which you could benefit when you refer professionals.

- The option to pick between 12 or 14 payments along the year.

- Real Work Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime...)

- UST Club Platform discounts and gym Access discounts

If you would like to know more, do not hesitate to apply and we'll get in touch to fill you in details. UST is waiting for you!

We are still looking for the very Top Talent...and we would be delighted if you were to join our team!

More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.

We are seeking a hands-onData Engineerwith strong expertise inSnowflakeandPython, passionate about transforming telemetry, log, and event data into trusted insights. You will work as part of a small, highly impactful team developing the data foundations that power engineering intelligence and reporting across the organization.

• Design, build, and operate engineering telemetry data platforms in Snowflake.
• Develop and maintain Python-based ingestion and transformation pipelines.
• Ingest usage and telemetry data from engineering tools such as GitHub Copilot, Claude Code, and related platforms.
• Parse, normalize, and process high-volume telemetry, log, and event datasets.
• Create scalable and well-governed data models that support adoption, productivity, and value analysis.
• Build reliable, automated pipelines with monitoring, ing, and error handling.
• Develop evidence-grade reporting datasets that can withstand stakeholder scrutiny.
• Optimize Snowflake data models, queries, and storage strategies for performance and cost efficiency.
• Implement governance, access controls, data sensitivity handling, and retention policies.
• Follow modern engineering practices including testing, documentation, code review, and version control.

• Strong hands-on experience with Snowflake data engineering.
• Solid development experience using Python.
• Proven experience building and maintaining ETL/ELT pipelines.
• Strong understanding of data modeling and data integration principles.
• Experience working with telemetry, event, usage, or log data at scale.
• Knowledge of query optimization, performance tuning, and cost management in Snowflake.
• Experience with Git-based development workflows.
• Understanding of data governance, security, access management, and retention practices.
• Experience creating reliable, maintainable, and tested data solutions.
• Excellent communication skills and ability to work with both technical and business stakeholders.