Senior Data Engineer - Snowflake & Python Specialist

Location: Warsaw
Contract Type: Contract

Duration (months): 6

• Design and build scalable data pipelines using Snowflake, Python and DBT


• Lead the migration and automation of RBAC roles with configuration-driven approaches


• Collaborate with data architects and scientists on cutting-edge retail analytics solutions


• Mentor junior engineers while working with AWS/Azure cloud infrastructure

Company Overview

Our client is a forward-thinking retail organisation leveraging data engineering to drive business decisions and analytics at scale. They're building a modern data infrastructure using industry-leading technologies including Snowflake, DBT and cloud platforms. The company values innovation, technical excellence and collaborative problem-solving, creating an environment where data engineers can work on impactful projects that directly influence business strategy and customer insights across their retail operations.

They're seeking an experienced Senior Data Engineer to join their team in Warsaw. This role offers the opportunity to work on complex data challenges, implement best practices and shape the future of their data architecture while working with a talented team of data professionals.

Position Overview

As a Senior Data Engineer, you'll play a central role in designing, developing and maintaining scalable data pipelines that enable high-quality, reliable data for decision-making across the business. You'll work closely with data architects, product teams, analysts and data scientists to implement solutions that power analytics and reporting. A key focus will be migrating and automating Snowflake RBAC roles using configuration-driven approaches, ensuring data integrity and security compliance throughout. This position offers the chance to work with cutting-edge technologies and deliver data products that directly impact retail operations.

Responsibilities

• Extract and analyse existing RBAC roles and metadata from Snowflake environments


• Design configuration-driven approaches to manage RBAC roles using Git version control


• Develop Python scripts to automate role extraction, transformation, validation and deployment


• Build, optimise and maintain ETL pipelines from various sources ensuring data quality


• Monitor and troubleshoot production data pipelines for performance and reliability


• Write and optimise SQL queries ensuring integrity, performance and scalability


• Implement Data Vault models in Snowflake supporting large-scale analytics and BI


• Collaborate with engineers, product managers and data scientists on data-driven solutions


• Engage with business stakeholders to translate requirements into technical solutions


• Implement data governance and quality processes ensuring accurate, consistent data flows


• Work with AWS/Azure and DBT to build and maintain scalable cloud data solutions


• Mentor junior engineers and lead technical discussions driving best practices


• Identify opportunities to improve data systems, processes and tools for efficiency

Requirements

• 8-10 years of experience in data engineering roles


• Deep understanding of Snowflake RBAC structure including roles, grants and privileges


• Strong proficiency in Python for automation and data processing tasks


• Advanced SQL and PL/SQL skills with query optimisation experience


• Hands-on experience with DBT for data transformation workflows


• Knowledge of AWS or Azure cloud platforms and data services


• Experience implementing ETL/ELT processes and data pipeline development


• Understanding of data modelling techniques including Data Vault methodology


• Familiarity with Git version control for configuration management


• Experience with data governance, quality assurance and security compliance


• Ability to mentor team members and lead technical discussions


• Strong collaboration skills working across technical and business teams


• Problem-solving mindset with focus on continuous improvement

Benefits

While specific benefits weren't provided, you'll join a team focused on innovation and technical excellence, working with modern data technologies including Snowflake, Python, DBT and cloud platforms. You'll have opportunities to mentor others, lead technical initiatives and contribute to meaningful projects that shape data-driven decision-making across retail operations. The collaborative environment values knowledge-sharing and professional growth, allowing you to develop your skills while working alongside talented data professionals.

How to Apply

To apply for this role please submit your CV using the form below or email [email protected]