Data Engineer (Junior Level) – NSigma
Location: Novi Sad, Serbia
About Us
At NSigma, we're transforming financial services by combining Data Science, AI, and Financial Quantitative solutions. Our mission is to empower investment managers and capital markets participants with cutting-edge tools for smarter decisions. We are building intelligent, scalable systems from the ground up, offering a unique opportunity to shape the future of financial analytics.
The Role
We're looking for a Data Engineer (Junior) to join our team building data pipelines and systems that power our predictive analytics and machine learning solutions for investment research. You'll collaborate with cross-functional teams to implement robust data flows, support ML workflows, and utilize cloud infrastructure. This role provides excellent growth opportunities while contributing directly to NSigma's AI-driven products.
Key Responsibilities
* Implement and maintain ETL/ELT pipelines for financial data sources
* Work with established data storage solutions and data warehouses
* Work closely with ML team and Senior Data Engineer in developing specialized data agents which will vary from product to product, including (some examples below):
- Data ingestion agents that connect to financial APIs and external data sources
- Data preprocessing agents that transform raw financial data into structured formats
- Data cleaning agents that handle missing values, outliers, and inconsistencies in financial time series
- Data quality validation agents that ensure data integrity and consistency
* Support the integration between data engineering components and other system agents
* Assist in implementing cloud-based data solutions (primarily on GCP but AWS too)
* Collaborate with DevOps to maintain data infrastructure and pipelines
* Document data flows and technical specifications
Required Skills & Experience (1-3 years)
Core Data Engineering Skills (Mandatory):
* Solid proficiency in Python and SQL for data manipulation
* Experience with at least one ETL tool or framework
* Basic understanding of data processing concepts and best practices
* Familiarity with data warehouse concepts and tools
Cloud Infrastructure & DevOps (Preferred):
* Basic knowledge of cloud services (GCP preferred, AWS/Azure acceptable)
* Understanding of containerization concepts (Docker)
* Exposure to CI/CD principles and tools
Bonus Skills:
* Interest in financial markets and financial data
* Basic understanding of machine learning workflows
* Experience with data visualization tools
What We Offer
* Competitive salary with growth opportunities. Exceptional candidates that go above and beyond expectations have a chance to participa te in profit sharing or equity stake
* Professional development support and learning resources
* Mentorship from senior team members
* Access to premium learning platforms (e.g., Coursera, DeepLearning.ai)
* A chance to work on innovative AI and analytics platforms
* Flexible hybrid work arrangement minimum 3 days from office in a collaborative environment
Personal Qualities
* Strong problem-solving aptitude and willingness to learn
* Detail-oriented with good communication skills
* Self-motivated and able to work both independently and collaboratively
* Interest in financial markets and data-driven applications
* Eager to grow and develop technical expertise
Our Vision
At NSigma, we aim to unlock smarter investments and a more resilient financial ecosystem through data-driven innovation. If you're looking to develop your data engineering skills while working on meaningful financial technology, we want to hear from you!
