QA Automation Engineer (Data Engineering Focus)

Hello, let’s meet!

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

Now, we've talked a lot about ourselves – but we'd love to hear more about you.

Send us your resume to start the conversation and join the #Xebia.

We are seeking a talented QA Automation Engineer to become an automated quality assurance expert within our team. In this role, you will collaborate with developers and data engineers to ensure robust testing strategies and technical implementation for our data-driven applications. Your expertise will help identify risks and quality gaps early in the development lifecycle, while leading the adoption of best practices across our agile environment. 

You will be:

• serve as the automation and quality assurance expert, contributing to the development of comprehensive test strategies,

• collaborate with developers and data engineers to understand complex system requirements and translate them into robust automated test plans,

• identify dependencies, risks, and quality gaps early in the development lifecycle,

• design and implement automated test cases, including integration, end-to-end (E2E), load, and performance testing for data-driven applications,

• embed testing practices into CI/CD pipelines to ensure rapid and reliable deployments,

• actively participate in breaking down releasable pieces of value during sprints,

• define measurements of success, including the Definition of Done (DoD),

• demonstrate business value in regular sprint ceremonies,

• contribute to the living documentation of our domain and platform to facilitate knowledge sharing,

• engage in design discussions, technical reviews, and the continuous improvement of testing standards and practices,

• mentor team members on testing frameworks, best practices, and automation strategies.

Requirements

Your profile:

• 4+ years of experience as a QA Automation Specialist,

• proven experience in distributed computing (e.g., Spark) and software development,

• strong background in database testing, preferably with PostgreSQL,

• solid understanding of object-oriented programming and core development principles,

• experience working in Agile Scrum or Kanban teams,

• familiarity with version control systems (preferably Git) and CI/CD pipelines,

• hands-on experience with automated testing (integration/delta, load, and performance testing),

• work in the hybrid model (Manchester) is mandatory (2 days a week).

Nice to have:

• experience with containerization technologies like Docker,

• proficiency in Spark-Scala,

• background in Data Engineering,

• experience with Python or .Net Core,

• exposure to Kubernetes and Airflow,

• familiarity with cloud environments (GCP, Azure),

• experience with TeamCity CI and Octopus Deploy.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision