Senior Analytics Engineer

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.

You will be:

  • gathering business requirements for data solutions (reports, analysis),

  • providing guidance on metrics for monitoring business performance,

  • overseeing, developing data pipelines, and executing data transformations (primarily in SQL),

  • designing and implementing data models within a BI tool,

  • creating reports and dashboards,

  • validating and testing data,

  • presenting results to the business and supporting decision-making based on insights,

  • sharing knowledge on data literacy,

  • keeping current with the latest trends and best practices in analytics engineering.

Requirements

Your profile:

  • strong proficiency in GCP/AWS/Azure, with expertise in BigQuery/Redshift/Databricks,

  • solid experience with dbt (Data Build Tool),

  • ability to transform and model data using dbt, including creating logical data models and optimizing them for business analytics,

  • advanced proficiency in SQL and Python,

  • ability to integrate data from various sources, also in streaming mode,

  • experience with BI tools (e.g., Power BI, Looker) to visualize data,

  • ability to work with business teams to define and implement analytics use cases,

  • ability to communicate and adapt technology solutions to business needs,

  • excellent command of oral and written English.

Work from the European Union region and a work permit are required.

Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

Recruitment Process:

CV review – HR call – Interview (with Live-coding) – Client Interview (with Live-coding) – Hiring Manager Interview - Decision

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