10/07/2026
We’re hiring a Mid or Senior Data Engineer based in Mexico! |
Summary:
We are seeking a Data Engineer to build a new enterprise Data Warehouse. The successful candidate will validate and implement the current warehouse design, and build the ETL jobs that bring data in from core banking and digital platforms, format it, and make it available for reporting use. This is a hands-on role built around SQL Server and .NET (C #), with plenty of room to design and build custom tooling where off-the-shelf solutions fall short. Over time, the role will evolve into assisting with bank conversions – converting a bank’s data into data format, applying configuration, and making it available for testing by the bank and staff.
Qualifications
Education & Experience:
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- 5+ years of database and data engineering experience, with extensive SQL Server experience (T-SQL, stored procedures, indexing, performance tuning).
- Proven experience in data warehouse design, development, and maintenance, including dimensional modeling and ETL architecture.
- Experience working with enterprise-level software systems, preferably in fintech or banking.
- Conversational English.
Technical Skills:
- Extensive SQL Server experience, including schema design, query optimization, and performance tuning of large datasets.
- Strong .NET (C #) development skills, with the ability to build custom data tooling and services.
- Proficient in ETL design and implementation, and able to build custom tooling to achieve the goals when packaged tools fall short.
- Strong proficiency and comfort with AI tooling (e.g., Claude, GitHub Copilot, or similar) as an everyday part of how you design, build, and test software.
- Practiced in loop engineering – structuring work as iterative agent loops with clear specifications, automated verification, and human review, rather than one-shot prompting.
- Solid understanding of data warehouse concepts: dimensional modeling, fact/dimension design, slowly changing dimensions, and incremental loads.
- Experience with data quality, reconciliation, and validation techniques.
- Familiarity with reporting and BI tooling (e.g., SSRS, Power BI) is a plus.
- Experience with data migration or conversion projects is a plus.
Some of the benefits we offer:
🚑 Major medical expense insurance.
🦷 Dental and vision insurance.
💲 Savings fund & fee-free personal loans.
💵 Referral and tenure bonuses.
🏊 Gym membership.
➡️ Send us your CV to [email protected]