Senior Data Engineer

Creditstar Group is a rapidly growing international consumer finance company, headquartered in Tallinn, Estonia and operating in multiple European markets. At the core, we are a financial technology company that uses automated processes, algorithms and data analysis to make financial instruments easily available to a population of more than 100 million people in our target markets. We are a team of ambitious professionals who value innovation, speed, growth, and high performance.

Our vision is to build and deliver digital banking products of the future. If you want to be part of this success story and build a unicorn with us, then here is your chance.

YOUR POSITION:

SENIOR DATA ENGINEER

YOUR ROLE:

Do you like solving engineering puzzles? Do you like making things work? What about creating order from chaos and building tools from scratch? Great, we are looking for you! In this role, you’ll be able to lead your own projects and, you’ll also foster a collaborative team environment where ideas are shared and succinctly executed. With us, you can push your creative ideas forward and take care of making innovation in the data-driven world!

YOUR RESPONSIBILITIES:

• Partner with data engineers, analysts, scientists, and business stakeholders to build and continuously evolve data platforms and processes.
• Design and implement robust, scalable, and efficient data pipelines (batch and streaming) to support analytics, machine learning, and operational workloads.
• Define and enforce data engineering best practices and standards to ensure high levels of data reliability, performance, and quality.
• Research, prototype, and adopt modern data engineering tools and methodologies to improve data infrastructure.
• Continuously optimize ETL pipelines for performance, scalability, and maintainability.
• Lead the architecture of core data systems, such as real-time data pipelines, ML model serving infrastructure, and feature store.
• Proactively identify technical and process improvements and drive them from idea to execution.
• Design and evolve dimensional data models to enable intuitive, performant analytics and reporting.
• Contribute to the mentorship and technical growth of the data engineering team.

REQUIRED EXPERIENCE, SKILLS, AND COMPETENCIES:

• At least 5 years of professional experience in architecting and building data solutions.
• Knowledge about state-of-the-art data architectures.
• Proficiency in Python and SQL
• Experience with data warehousing.
• Hands-on experience with data streaming technologies.
• Experience with AWS cloud services.
• Passion about what you do.
• Strong analytical and problem-solving skills.
• Good communication skills and interface with business and engineering.
• Good project management skills and a strong sense of ownership.
• Having a startup mindset.
• Fluency in spoken and written English.

TOOL STACK:

• AWS: EC2, EMR, RDS, MWAA, MSK, Sagemaker
• Snowflake.
• Airflow.
• Spark.
• Docker.
• DBT
• Atlassian and Bitbucket

YOU ARE SPECIAL IF YOU HAVE:

• Experience with Kafka or Kinesis.
• Experience with feature stores.
• Experience within the Financial Services industry.
• Experience with dimensional modeling concepts.

Benefits

• Dynamic, challenging, and rewarding work within a growing international company where one can REALLY make an impact;
• Regular company parties and events;
• Brand new office in the center of the city with games and free snacks/drinks;
• Competitive remuneration package
• Sports or health insurance compensation
• Birthday day-off

Join us and contribute to our mission while advancing your career. Apply now!

* Please note that this is not a remote position and requires to be present at the office at least 3 days a week.