Analytics Engineer with DBT and Data Vault

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.

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.

You will be:

• designing, building, and maintaining scalable data pipelines and a state-of-the-art lakehouse within Google Cloud,
• managing and optimizing robust data models,
• developing efficient ELT processes with tools like DBT and Fivetran to collect, transform, and load data from various sources,
• collaborating with data scientists and analysts to generate valuable, data-driven insights.
• ensuring well-structured, accessible datasets that support the analytics team,
• safeguarding data integrity by implementing solid validation processes,
• troubleshooting and resolving complex technical issues related to data integration and processing,
• staying up-to-date with the latest innovations in Google Cloud, data engineering, and analytics.

Your profile:

• ready to start within 6 weeks,
  
• at least 3 years of relevant work experience as an Analytics Engineer, Data Engineer, or a similar role, preferably in a Google Cloud environment (a Google Cloud Professional Data Engineer certificate or similar certification is a strong plus but not mandatory),
• expertise in data warehouses, ETL processes, and tools such as BigQuery, Dataflow, Cloud Storage, DBT, SQL, and Python,
• experience with data modeling, Data Vault, database design, and query optimization is a must,
• strong problem-solving skills and can tackle complex technical challenges,
• fluent in English, both spoken and written,
• enjoy working in multidisciplinary teams and contribute to a positive work atmosphere,
• understand customer needs and can translate them into valuable data solutions.

Work from EU and a work permit to work from EU are required.