Senior Data Engineer (with Snowflake)
TRANSITION TECHNOLOGIES PSC S.APoznań, Greater Poland, Poland28 days ago
Job descriptionDesign, build, and maintain scalable data pipelines (ETL / ELT) leveraging Snowflake and Airflow Implement optimized schemas, partitioning, and indexing strategies in Snowflake and relational databases Develop data processing workflows and automation scripts in Python and SQL; integrate with APIs and microservices Ensure scalability, performance, and resilience of pipelines; implement observability for jobs and data flows Partner with data scientists and ML engineers to deliver high-quality datasets optimized for AI / ML workloads Prepare, transform, and manage datasets for embeddings, RAG workflows, and LLM fine-tuning Experience : A minimum of 5-7+ years in data engineering, preferably supporting AI / ML applications and hold B.Sc., B.Eng., or higher, or equivalent in Computer Science, Data Engineering or related fields Experience with Snowflake Programming : Proficiency in Python, SQL and vector database native languages Databases : Experience with relational databases Cloud Platforms : Hands-on experience with AWS (OpenSearch, S3, Lambda) or Azure (Azure AI Search, Azure Blob Storage, Azure Automation) ETL / ELT Pipelines : Experience building scalable ETL / ELT workflows using dbt, Apache Airflow, or similar APIs & Microservices : Ability to design and integrate RESTful APIs for data exchange Data Security & Governance : Understanding of encryption and role-based access controls Version Control & DevOps : Familiarity with Git, CI / CD, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, CloudFormation) Generative AI Support : Experience working with AI-specific data needs, such as embeddings, RAG (Retrieval Augmented Generation), and LLM fine-tuning data preparation Flexible forms of employment and working hours (CoE or B2B) An interesting, challenging job in the dynamically developing Capital Group company; Work on innovative projects using modern technologies; Direct impact on shaping the image of the Capital Group's companies on the market; Possibility to develop competences in a wide range; Attractive salary; Stability of employment and a friendly work atmosphere; Cool benefits, among others integration meetings, internal company competitions, fruit Tuesdays, sweet Thursdays and much more; private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time fruits integration events no dress code video games at work coffee / tea leisure zone holiday funds baby layette christmas gifts birthday celebration sharing the costs of a streaming platform subscription employee referral program charity initiatives family picnics
technologies-expected :
- Python
- Snowflake Data Cloud
- Amazon AWS
- SQL
responsibilities :
requirements-expected :
offered :
benefits :
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Senior Data Engineer • Poznań, Greater Poland, Poland
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