Job description
Description
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.
About the role:
As a Data Engineer at Xebia, you will work closely with engineering, product, and data teams to deliver our clients scalable and robust data solutions. Your key responsibilities will include designing, building, and maintaining data platforms and pipelines and mentoring new engineers.
You will be:
designing and implementing the Data Processing Framework leveraging GCP Cloud Native Services
ensuring data integrity, consistency, and availability across all data systems
working closely with cross-functional teams including Engineering, Business Analytics, Data Science and Product Management to understand data requirements and deliver solutions
collaborating with data engineers to ensure data engineering best practices are integrated into the development process
developing documentation and standards for data processes and procedures
Requirements
Your profile:
4+ years in a data engineering role, with hands-on experience in building data processing pipelines
proficiency with GCP services, for large-scale data processing and optimization
experience with Apache Airflow, including DAG creation, triggers, and workflow optimization
Python proficiency, with expertise in modern data libraries
hands-on experience with ETL tools and processes
deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts
excellent command of oral and written English
Work from EU and a work permit to work from EU are required.
Openness to work in the evening (6-9 pm CET) is required.
Nice to have:
knowledge of data visualization tools (e.g., Tableau, Looker)
understanding of machine learning and data analytics
certification in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.).
Recruitment Process:
CV review – HR call – Interview (live coding) – Client Interview – Decision
