Senior Data Engineer
Creditstar Group AS
full-time
Posted on:
Location: 🇪🇪 Estonia
Visit company websiteJob Level
Senior
Tech Stack
AirflowAWSCloudDockerEC2ETLKafkaKubernetesPythonSparkSQL
About the role
- Help to shape Creditstar’s data engineering strategy and guide the design, architecture, and implementation of scalable data solutions.
- Support a team of data engineers and collaborate closely with data scientists, analysts, and business stakeholders.
- Ensure data infrastructure supports advanced analytics, machine learning, and real-time decision-making.
- Set standards, drive innovation, and ensure delivery of high-quality, reliable, and future-proof data systems.
Requirements
- 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.
- 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.
- 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.