Data Engineer

About Lotus Field Analytics

Lotus Field Analytics AB, is apart of the arctic business incubator and is an AI-powered platform focused on empowering private investors through comprehensive, data-driven financial insights. Our suite of innovative tools includes trend analysis, predictive financial modeling, and automated trading support, making advanced market intelligence accessible to all.

Role Overview

We are looking for a highly motivated Data Engineer, ideally a last year student/recent graduate, who is eager to launch their career in a dynamic and fast-paced startup environment. As a Data Engineer at Lotus Field Analytics, you will play a critical role in building and optimizing our data infrastructure, ensuring that our platform's backend can efficiently process and analyze large-scale financial data. This role can be a part time or full time position depending on the availability of student 

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable data pipelines that can handle high-volume data input and processing.
• Data Integration: Collaborate with the AI and product teams to integrate various data sources and ensure data quality.
• Performance Optimization: Develop solutions to optimize data retrieval and processing speeds, ensuring low-latency interactions.
• Database Management: Manage and scale cloud-based data storage solutions for both structured and unstructured data.
• Documentation: Maintain detailed documentation of processes and data architecture.
• Machine Learning Expertise: A sound understanding of ML-models, how to evaluate and to deploy them.

Candidate Profile

• Education: Recent graduate in Statistics, Computer Science, Data Science, or a related field.
• Skills: Familiarity with Python, SQL, and cloud data storage platforms (e.g., AWS, Google Cloud, or Azure). Tools such as PyTorch, Tensorflow, etc.
• Experience: Relevant coursework, internships, or personal projects related to data engineering, ETL processes, or database management.
• Technical Aptitude: Understanding of data structures, algorithms, and basic principles of distributed computing.
• Team Player: Strong collaboration and communication skills, with the ability to work in a cross-functional team.
• Problem-Solving: Enthusiastic about tackling complex challenges and contributing to a fast-evolving platform.

What We Offer

• Growth: The opportunity to work in an environment that values learning and mentorship.
• Equity: Significant equity compensation, providing you with a vested interest in the company’s success.
• Impact: Direct involvement in shaping an innovative platform that democratizes financial intelligence.
• Flexible Environment: Work remotely or in-office, depending on your preference and our operational needs.

Location: Flexible/Remote, However candidate needs to be residing in the Northern part of Sweden due to investor demands. Candidates outside of the region will not be considered 
Equity: Significant equity compensation