Senior Snowflake Data Engineer

Luxoft Poland; Polska; On-site; PLN 180,000 - 240,000; Full time

Job summary

Luxoft Poland is seeking a Senior Snowflake Developer to design, build, and maintain scalable data solutions. You will work on Snowflake databases, ETL processes, and DBT transformations to support modern data and AI initiatives.

Collaborate with architects and analysts, implement RBAC, optimize queries, and automate deployments with Azure DevOps. Strong SQL, data modeling, and Python skills are essential; AWS/Streamlit knowledge is a bonus.

Qualifications

• Master’s degree in CS, IT, or related field.
• 5+ years in data engineering with Snowflake and DBT.
• Extensive SQL for large data volumes.
• Strong data warehousing and modeling knowledge (OLTP/OLAP, DV2).
• Experience building DBT data transformations.
• Snowflake performance tuning and query optimization.
• CI/CD experience, preferably Azure DevOps.
• Excellent problem solving and communication skills.

Responsibilities

• Design Snowflake databases, schemas, views, and data layers.
• Manage RBAC and security policies.
• Build Snowpipe, external stages, and batch loading.
• Create production Snowflake pipelines and data flows.
• Write optimized SQL for ETL.
• Use Python for data processing and automation.
• Develop DBT jobs and CI/CD pipelines with Azure DevOps.
• Ensure data quality, integrity, and compliance.
• Document data models and workflows.
• Build data tests and mock data frameworks.
• Knowledge of AWS and Streamlit is a plus.

Skills

SQL

Snowflake

DBT

Python

Azure DevOps

Data modeling

ETL pipelines

Data pipelines

CI/CD

Problem solving

Education

Master’s degree in CS/IT or related field

Tools

DBT

Azure DevOps

Terraform

Job description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a Senior Snowflake Developer who will be responsible for designing, developing, and maintaining scalable data solutions that effectively meet the needs of our organisation.

The role will serve as a primary point of accountability for the technical implementation of the data flows, repositories and data-centric solutions in your area, translating requirements into efficient implementations.

Responsibilities

• Design and work with Snowflake databases, schemas, views, and RAW, STG, and MART data layers.
• Manage access using RBAC, role hierarchies, row-level security, and column-level access policies.
• Work with dynamic tables, external stages, Snowpipe, and batch data loading.
• Build and support reliable, production-grade Snowflake data pipelines.
• Write optimised SQL queries for data extraction, transformation, and loading.
• Utilise Python for advanced data processing, automation tasks, and system integration.
• Be an advisor with your In-depth knowledge of Snowflake architecture, features, and best practices.
• Develop and maintain complex data pipelines and ETL processes in Snowflake.
• Collaborate with data architects, analysts, and stakeholders to design optimal and scalable data solutions.
• Automate DBT Jobs & build CI/CD pipelines using Azure DevOps for seamless deployment of data solutions.
• Ensure data quality, integrity, and compliance throughout the data lifecycle.
• Troubleshoot, optimize, and enhance existing data processes and queries for performance improvements.
• Document data models, processes, and workflows clearly for future reference and knowledge sharing.
• Build Data tests, Unit tests and mock data frameworks
• Good to have AWS and Streamlit knowledge

Must have

• Master’s degree in computer science, Information Technology, or a related field.
• 5+ years of overall experience in data engineering, including relevant and hands-on expertise in Snowflake and DBT.
• Extensive hands-on experience in writing complex SQL queries, demonstrating proficiency in data manipulation and analysis for large data volumes.
• Strong understanding of data warehousing concepts, methodologies, and technologies with in-depth experience in data modelling techniques (OLTP, OLAP, Data Vault 2.0)
• Experience building data pipelines using DBT (Data Build Tool) for data transformation.
• Familiarity with advanced techniques for performance tuning methodologies in Snowflake including query optimization.
• Strong knowledge with CI/CD pipelines, preferably in Azure DevOps.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication, collaboration, and interpersonal skills.

Nice to have

• Knowledge of additional data technologies (e.g., AWS, Azure, GCP) is a plus.
• Knowledge of Infrastructure as Code (IAC) tools such as Terraform or cloud formation is a plus.
• Experience in leading projects or mentoring junior developers is advantageous.