Xebia
Technology
DataEngineer(Databricks)
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer (Databricks) at Xebia. Skills: Data Engineering, Databricks, PySpark, Python. Design end-to-end data pipelines. Build data pipelines”
Industry & Context.
Troubleshooting; Investigating incidents; Resolving incidents
Work from EU region, Work permit required, Hybrid setup
What They're Looking For.
Must Have
2–4+ years of professional experience, Databricks and PySpark experience, Python proficiency, Apache Airflow experience, Very good SQL knowledge, Cloud platforms experience, Upper-intermediate English
Nice to Have
Unity Catalog experience, Database migrations experience, Schema/version management experience, Frequent production support experience, Delivery deadlines comfort, Agentic or AI-driven automation workflows experience
What You'll Do.
Design end-to-end data pipelines
Maintain data pipelines
Operate Apache Airflow DAGs
Troubleshoot Apache Airflow DAGs
Manage push-based delivery workflows
Investigate production incidents
Resolve production incidents
Implement AI-driven agents
Support custom delivery requests
Develop data quality tooling
Develop data validation tooling
Write database migrations
Maintain database migrations
Document operational processes
Document delivery workflows
How You'll Work.
Team & Collaboration
Collaborate with product teams; Collaborate with engineering teams; Collaborate with measurement science teams; Collaborate with client-facing teams
Communication Scope
Documenting processes
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: designing, building, and maintaining end-to-end data pipelines for client-facing measurement reports and licensed datasets, operating and troubleshooting Apache Airflow DAGs supporting scheduled and on-demand data deliveries, managing push-based delivery workflows (cloud storage, file transfers, delivery verification) Investigating and resolving production incidents across distributed systems (Airflow, databases, cloud storage), implementing automation and AI-driven agents to streamline operational processes and data validation, supporting custom delivery requests, including matching files, cross-reference datasets, and bespoke client configurations, developing data quality and validation tooling to ensure accuracy before client delivery, writing and maintaining database migrations for delivery configurations and client setups, collaborating with product, engineering, measurement science, and client-facing teams, documenting operational processes, runbooks, and delivery workflows. Your profile: 2–4+
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