Senior Data Engineer (with Snowflake)

TRANSITION TECHNOLOGIES PSC S.A; Kielce; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

A dynamic tech company in Poland is seeking an experienced Data Engineer to design and manage scalable data pipelines. The ideal candidate has over 5 years of experience in data engineering, particularly with AI/ML applications, and is proficient in Python, SQL, and Snowflake. This role offers flexible employment options, a supportive work environment, and a range of attractive benefits including private medical care and opportunities for remote work.

Benefits

Flexible forms of employment

Private medical care

Sharing costs of language classes

Remote work opportunities

Flexible working time

Video games at work

Holiday funds

Birthday celebration

Qualifications

• Minimum 5-7+ years in data engineering, preferably supporting AI/ML applications.
• Proficient in Python, SQL, and vector database languages.
• Experience with cloud platforms like AWS or Azure.

Responsibilities

• Design and maintain scalable data pipelines using Snowflake and Airflow.
• Implement optimized schemas and indexing strategies.
• Develop and manage data processing workflows and automation scripts.

Skills

Data engineering

Python programming

SQL proficiency

Snowflake experience

AWS or Azure experience

ETL/ELT pipelines

API design

Education

B.Sc. or B.Eng. in Computer Science or related field

Tools

Apache Airflow

Git

Docker

Kubernetes

Terraform

Job description

• 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 Group's companies on the market;
• Possibility to develop competences in a wide range;
• 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 :

• 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
• video games at work
• coffee / tea
• holiday funds
• baby layette
• birthday celebration
• sharing the costs of a streaming platform subscription