Senior Data Engineer

7 days ago


Tallinn, Harjumaa, Estonia Creditstar Group Full time €90,000 - €120,000 per year

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 175 million people in our target markets. We are a team of ambitious professionals who value innovation, effective efficiency, high growth, and high performance. For more information on the group, please visit

.

Our vision is to build and deliver digital banking products of the future. If you want to be part of this, here is your chance.
YOUR POSITION:
SENIOR DATA ENGINEER
YOUR ROLE:
As
Senior Data Engineer,
you will help to shape the Creditstar's data engineering strategy and guide the design, architecture, and implementation of scalable data solutions. You will support a team of data engineers, collaborate closely with data scientists, analysts, and business stakeholders, and ensure our data infrastructure supports advanced analytics, machine learning, and real-time decision-making.

This is both a technical and leadership role- you will set standards, drive innovation, and ensure delivery of high-quality, reliable, and future-proof data systems.

Requirements
Experience & Expertise

  • 6+ years of professional experience in data engineering, with experience also in a leadership role
  • Proven track record in architecting and scaling data solutions in fast-paced environments
  • Strong proficiency in SQL and Python.
  • Hands-on expertise with cloud platforms (preferably AWS) and modern data warehousing solutions (e.g., Snowflake)
  • Deep understanding of ETL/ELT, data modeling (dimensional & advanced techniques), and streaming technologies (Kafka, Kinesis or equivalent).
  • Experience with MLOps practices and supporting ML model deployment and monitoring

Leadership & Collaboration

  • Good mentoring, and team-building skills
  • Excellent communication skills with the ability to influence technical and business stakeholders
  • Strong project management and execution skills with a sense of ownership and accountability

Mindset & Approach

  • Strategic thinker with a hands-on, problem-solving attitude
  • Entrepreneurial/startup mindset with the ability to thrive in a fast-scaling environment
  • Fluent in spoken and written English

Our Tech Stack

  • Cloud: AWS (EC2, EMR, MSK, MWAA, EKS, RDS, etc.)
  • Data Warehouse: Snowflake
  • Workflow & Orchestration: Airflow, DBT
  • Big Data & Processing: Spark, Docker, Kubernetes
  • Streaming: Kafka, Kinesis
  • Collaboration Tools: Atlassian, Bitbucket

Nice to Have

  • Prior experience in Financial Services or fintech
  • Knowledge of feature stores and advanced ML data management
  • Contributions to open-source data engineering projects.

Benefits

  • Dynamic, challenging, and rewarding work within a growing international company where one can REALLY make an impact;
  • Hybrid working environment;
  • 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.


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