Junior Data Engineer

Teza Technologies; London; On-site; GBP 35,000 - 55,000; Full time

Job summary

Teza Technologies seeks a Junior Data Engineer to enhance their data team, focusing on expanding their data warehouse and improving data systems. The role demands strong technical skills in data manipulation using Python and SQL, alongside a collaborative approach to solve complex data challenges. Candidates should possess a relevant degree and be ready to work in a dynamic trading environment, leveraging cutting-edge tools in data technology.

Benefits

Health, visual and dental insurance

Flexible sick time policy

Qualifications

• Proficiency in Python and SQL is required.
• A Bachelor's degree in a relevant field is necessary.
• Familiarity with NoSQL databases like Postgres and MongoDB is expected.

Responsibilities

• Work with Portfolio Managers to translate business requirements into technical solutions.
• Expand the data warehouse by designing and adding new functionality.
• Evaluate new tools and technologies for data management.

Skills

Python

SQL

Data modeling

Unix/Linux

NoSQL databases

Cloud platforms

Git

Education

Bachelor's degree in Computer Science, Data Science or related field

Tools

Git

AWS

GCP

Job description

About the role

Teza Technologies is looking for a Junior Data Engineer to join our data team. Data drives systematic trading and is critical to all aspects of the firm's business.

This is a hands-on position on a small team of data engineers with growth potential, as this team will grow rapidly over the next couple of years. The firm is looking for outstanding technical skills, strong attention to detail, and experience architecting and building data platforms.

Responsibilities:

• Work directly with Portfolio Managers and Quantitative Developers to translate business requirements into technical solutions; be a resource to explain dataset details and nuances.
• Expand our data warehouse by designing and adding new sources and functionality; improve robustness, speed and scalability of our systems; manage data entitlements
• Provide innovative data management, analytics and technology input to the team and management.
• Evaluate new tools and technologies suitable for organizing, querying and streaming large datasets.
• Design and build automated systems for data cleansing, anomaly detection, monitoring and alerting.
• Support our production data warehouse as required.
• Develop and maintain strong vendor relationships aligned with our business objectives.

Basic Requirements:

• Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.
• Strong SQL knowledge and familiarity with NoSQL databases (ideally Postgres and MongoDB), including query optimization and performance tuning.
• Strong understanding of data modeling principles, including both normalization and denormalization techniques.
• Familiarity with cloud platforms, e.g. AWS or GCP
• Experience with Git version control, collaborative workflows (e.g., Github), and understanding of CI/CD best practices.
• Bachelor's degree in Computer Science, Data Science or related field.

Nice to have Requirements:

• Financial industry internships are a plus.
• Experience with Java recommended.
• Experience with on-premises data infrastructure (e.g., Hadoop)
• Experience with Apache Airflow or similar workflow orchestration tools.
• An understanding of best practices for data modeling, including data normalization techniques.
• Master's degree in Computer Science, Data Science or related field.

Benefits:

• Health, visual and dental insurance
• Flexible sick time policy