technologies-expected :

responsibilities :

Design, 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

requirements-expected :

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

offered :

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 Groups 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;

benefits :

responsibilities :