About the role
Salary: 1000-1300 pln/MD on B2B
Work Model: Elastic Hybrid in Gdańsk / Warsaw / Cracow
Why choose this offer?
Project
We are looking for an experiencedQA Consultantto take ownership of Quality Assurance activities within a large-scale data and integration environment for a global client undergoing a major digital transformation journey. This is a highly visible role for someone who combines strong technical expertise with leadership and consulting capabilities. You will be responsible for establishing and driving the QA approach, shaping testing processes, mentoring the team, and acting as a trusted advisor to both technical and business stakeholders. We are looking for a true hands-on leader who can assess the current state of testing, identify risks, define the roadmap, and actively contribute to delivering high-quality solutions.
Do you fit?
Extensive experience as a QA Lead, QA Consultant, Test Lead, or Quality Engineering Lead
Strong hands-on experience with Python
Experience with Databricks
Advanced knowledge of SQL
Experience working in Big Data environments
Experience with PySpark
Experience with PyTest
Proven ability to define and execute test strategies for complex projects
Strong stakeholder management and communication skills
Experience leading QA teams and mentoring engineers
Ability to combine strategic thinking with hands-on delivery
Fluent English communication skills
Experience testing AI-powered solutions and automation initiatives
Experience working with LLM-based projects
Knowledge of SaaS integrations and third-party APIs
Experience with Customer Data Platforms (CDPs) or marketing technology ecosystems
Cloud platform experience
What you'll own
Lead and drive all QA activities across data and integration platforms
Define, implement, and continuously improve the overall test strategy
Build and coordinate the testing environment across the full QA lifecycle
Manage testing efforts within complex data-driven initiatives
Work closely with stakeholders, engineering teams, product teams, and client representatives
Provide technical guidance and coaching to QA engineers and testers
Establish best practices for data validation, test automation, and quality assurance processes
Identify project risks and propose effective mitigation strategies
Support testing activities related to data integrations, APIs, and Big Data platforms
Present testing recommendations, trade-offs, and quality considerations to stakeholders
Drive continuous improvement through automation, AI-driven testing, and modern QA practices
Sound like you?
Negotiable · Jit Team
On Jit Team's website · ~2 minutes
