Senior Data Engineer

*This position is fully remote only for employment in Bulgaria. However, people can also work in one of our offices in Sofia or Varna if they prefer to.

About DataArt

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

Position Overview

Our client is one of the world’s top 20 investment companies headquartered in Great Britain, with branch offices in the US, Asia, and Europe.

The company’s IT environment is constantly growing, with around 30 programs and more than 60 active projects. They are building a data marketplace that aggregates and analyzes data from multiple sources such as stock exchanges, news feeds, brokers, and internal quantitative systems.

As the company moves to a new data source, the main goal of this project is to create a golden source of data for all downstream systems and applications. The team is performing classic ELT/ETL: transforming raw data from multiple sources (third-party and internal) and creating a single interface for delivering data to downstream applications.

We are looking for a Data Engineer with strong expertise in DBT, Snowflake, and modern data engineering practices. In this role, you will design and implement scalable data models, build robust ETL/ELT pipelines, and ensure high-quality data delivery for critical investment management applications.

Responsibilities

• Design, build, and deploy DBT Cloud models
• Design, build, and deploy Airflow jobs (Astronomer)
• Identify and test for bugs and bottlenecks in the ELT/ETL solution

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting)
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing)
• 2+ years of experience developing in DBT Core/Cloud
• 2+ years of experience with Snowflake
• 2+ years of experience with Airflow
• 2+ years of experience with Python
• Good spoken English

Nice To Have

• Proficiency in message queues (Kafka)
• Experience with cloud services (Azure)
• CI/CD knowledge (Jenkins, Groovy scripting)

What We Offer

• Unique corporate culture – no micromanagement, friendly atmosphere, freedom, and mutual respect
• Flexible schedule – ability to change projects, to work from home, and to try yourself in different roles
• Professional Development Map – a comprehensive map of your professional development within DataArt
• We hire people not for a project, but for the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.
• Social benefits – additional health insurance, life insurance, sports card, etc.
• Opportunity to work from another DataArt office in a different city or country (temporarily or permanently)
• Free English courses
• Cozy office with a great atmosphere
• Snacks, drinks, and fruits are always available

reference number: DE00245