Xebia

Technology

SeniorPlatformEngineer

$200–300k ~AI est. Poland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Platform Engineer at Xebia. Skills: Platform Engineering, Data Platforms, Azure, Databricks. Set up infrastructure in Azure. Configure infrastructure in Databricks”

What You'll Achieve.

Build data platform; Stabilize data platform

Industry & Context.

Technology
Eligibility Requirements

Work from EU region, Work permit required

What They're Looking For.

Must Have

Proven experience Platform Engineer, Proven experience DevOps Engineer, Proven experience Data Platform Engineer, Experience with Azure cloud, Hands on experience Databricks, Experience with CI CD pipelines, Experience with infrastructure as code, Experience working with data platforms, Understanding distributed data processing, Experience with orchestration tools, Experience supporting data pipelines, Experience supporting ingestion frameworks, Knowledge of containerization, Knowledge of platform tooling, Experience setting up monitoring, Experience setting up logging, Experience setting up alerting, Ability to work integration heavy, Practical experience AI assistants

Nice to Have

Experience with Salesforce, Experience with CRM ecosystems, Knowledge of security, Knowledge of governance, Knowledge of access control, Experience with performance optimization, Experience in enterprise industries, Experience in regulated industries, Certifications Azure, Certifications Databricks, Familiarity emerging AI-driven practices, Willingness to explore and experiment

What You'll Do.

Set up infrastructure in Azure

Configure infrastructure in Databricks

Design CI CD pipelines

Implement CI CD pipelines

Design deployment pipelines

Implement deployment pipelines

Establish environments

Build orchestration mechanisms

Maintain orchestration mechanisms

Build scheduling mechanisms

Maintain scheduling mechanisms

Ensure platform scalability

Ensure platform reliability

Ensure platform performance

Collaborate with Data Engineers

Collaborate with Architects

Support standardization

How You'll Work.

Team & Collaboration

Data Engineers; Architects

Full Job Description

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. You will be: seting up and configuring the data platform infrastructure in Azure and Databricks, designing and implementing CI CD and deployment pipelines for data workloads, establishing and managing environments (dev, test, prod), building and maintaining orchestration and scheduling mechanisms for data pipelines, ensuring platform scalability, reliability, and performance, collaborating closely with Data Engineers and Architects on platform design decisions, supporting automation and standardization of data platform operations. We are looking for a Senior Platform Engineer to support an engagement focused on building and stabilizing a data platform on Azure and Databricks, integrating data from CRM systems such as Salesforce. The role focuses on infrastructure setup, environment management, CI CD, and ensuring the reliability of the platform supporting data engineering and analytics workflows. Your profile: proven experience as a Platform Engineer, DevOps Engineer, or Data Platform Engineer, strong experience

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