About us
ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.
Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
Job Description
The Data Office team within Corporate Treasury Engineering is responsible for overseeing all aspects related to data - from collection and persistence to distribution. The team also spearheads data enhancement projects that cut across various internal and external teams within the Corporate Treasury division.
Key Responsibilities:
- Comprehend the data utilized within Corporate Treasury.
- Identify opportunities for data improvement, gap closure, and consolidation.
- Collaborate with multiple data consumers to ascertain data needs.
- Engage with diverse data providers to procure necessary data for Corporate Treasury.
- Develop logical data models to represent financial assets accurately.
- Establish and enforce control and governance standards for data quality.
- Execute data quality control measures.
Required qualifications
Qualifications:
- Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field.
- A minimum of 5 years of programming experience in Python and/or a compiled language such as C, C++, or Java.
- Advanced proficiency in SQL.
- Expertise in optimizing complex SQL statements.
- Strong knowledge of data structures and algorithms.
- Extensive experience with databases, particularly Snowflake and MongoDB.
- Ability to handle multiple tasks, manage diverse stakeholders, and work collaboratively within a team.
- Exceptional communication skills, with the ability to address both technical and business audiences and work within a global context.
- Familiarity with financial markets and assets is advantageous.
- Proficiency in English.
Nice to have:
- Knowledge of tools for troubleshooting and optimizing SQL query performance.
