AI-First Data Engineer
New
S
Sport AllianceFitness and SaaS
Listing locations: PolandFull-TimeMiddle
Salary24,000 - 28,000 PLN per month
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Job Details
- Languages
- Excellent written and verbal English; German helpful but not required.
- Experience
- 3+ years in data engineering with a focus on data warehousing
- Required Skills
- AWSPythonSQLApache AirflowDynamoDBMongoDBSparkData modelingdbt
Requirements
- Have 3+ years in data engineering with a focus on data warehousing.
- Use SQL and Python for data work.
- Have hands-on experience with dbt on a cloud warehouse.
- Understand data architecture and modeling principles, including dimensional modeling, slowly-changing dimensions, and incremental patterns, or be ready to deepen that knowledge.
- Have working knowledge of relational databases and some exposure to non-relational databases such as DynamoDB or MongoDB.
- Have a track record of debugging data issues and shipping durable fixes.
- Use AI tools in the workflow and review and validate their output.
- Have excellent written and verbal English.
- AWS experience with Redshift, EMR, Glue, S3, or IAM is a nice to have.
- Streaming/CDC technologies such as Kafka, Kinesis, or Debezium, or data mesh experience, are a nice to have.
- Experience building data pipelines for ML or AI systems is a nice to have.
- Exposure to financial, payments, or regulated reporting data is a nice to have.
Responsibilities
- Build and optimize cloud-native ETL/ELT data pipelines on AWS and the infrastructure underneath.
- Design and evolve data models for analytics, operational use cases, and AI/ML.
- Embed governance, testing, and lineage to improve data reliability.
- Partner with product and engineering teams to turn business problems into data solutions.
- Evaluate data mesh patterns and emerging AI tooling.
- Grow into financial and regulatory reporting work, prioritizing correctness and auditability.
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