Expert QA Consultant

Expert QA Consultant

Salary: 1000-1300 pln/MD on B2B

Work Model: Elastic Hybrid in Gdańsk / Warsaw / Cracow

Why choose this offer?

• Make a real impact - Take ownership of QA strategy and testing activities within a high-visibility data transformation initiative where your decisions will directly influence project success

• Lead, consult, and build - This is a unique opportunity to combine technical excellence with leadership, stakeholder management, and strategic decision-making

• Work with modern technologies - Join a challenging environment leveraging Databricks, Python, SQL, PySpark, AI, and automation to deliver data-driven solutions at scale

• Explore AI-driven quality engineering - Contribute to projects involving automation, modern testing approaches, and AI-powered solutions, including initiatives related to LLMs and intelligent systems

Project

We are looking for an experienced QA Consultant to 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.

Your Responsibilities

• 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

Expected competences and knowledge

• 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
  
  Nice to have

• 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

Technologies you'll work with

• Python

• Databricks

• SQL

Client – why choose this particular client from the Jit portfolio?

The client is a consultancy firm specializing in marketing transformation and digital media, focused on helping businesses make data-driven decisions through expertise in Customer Data Platforms (CDPs), data management, and marketing automation. They position themselves as experts in delivering technology solutions that enable personalized customer engagement. By integrating AI, advanced analytics, and automation, they guide organizations through digital transformation, optimizing both data management and decision-making. Their approach streamlines marketing operations, enhances efficiency, and maximizes ROI, all while improving customer experiences through cross-channel engagement and data-driven personalization.