Xebia
Technology
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Xebia. Skills: Data Engineering, Batch data pipelines, ETL/ELT, Data modeling. Design scalable batch data pipelines. Build scalable batch data pipelines”
Industry & Context.
Debugging data processing jobs; Optimizing data processing jobs
What They're Looking For.
Must Have
5+ years of experience, SQL skills, Proven experience building batch data pipelines, Hands-on experience with AWS, Solid understanding of data modeling, Experience ensuring data quality, Experience building reliable pipelines, Work from EU region, Work permit required
Nice to Have
Experience with modern data stack, Experience with large-scale data processing, Familiarity with data governance, Familiarity with data lineage, Familiarity with observability tools, Experience working with BI tools, Experience working with analytics use cases, Experience working in cross-functional teams, Exposure to CI/CD for data pipelines, Practical experience using AI assistants, Experience with lakehouse architectures, Knowledge of cost optimization, Exposure to real-time architectures, Exposure to event-driven architectures, Experience mentoring engineers, Experience leading engineers, Experience applying GenAI, Interest in emerging AI-driven practices, Willingness to explore AI practices
What You'll Do.
Design scalable batch data pipelines
Build scalable batch data pipelines
Maintain scalable batch data pipelines
Develop ETL/ELT processes
Optimize ETL/ELT processes
Ensure data governance
Own data warehouse transformations
Collaborate with product teams
Collaborate with analytics teams
Collaborate with data science teams
Monitor data processing jobs
Debug data processing jobs
Optimize data processing jobs
Drive engineering standards
Implement best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Analytics teams; Data science teams
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 join a central data platform / analytics team responsible for building and scaling batch data pipelines powering BI, reporting and machine learning use cases. The environment is cloud-based with a modern data stack (warehouse + transformation layer) and high focus on data quality and governance. You will be: Design, build and maintain scalable batch data pipelines Develop and optimize ETL/ELT processes using SQL-first approach Model and transform data into clean, consumable datasets (analytics-ready) Ensure data quality, lineage, governance and observability across pipelines Own data warehouse transformations and semantic layers (e. g. dbt) Collaborate with product, analytics and data science teams to deliver datasets Monitor, debug and optimize data processing jobs Drive engineering standards, code reviews and best practices Your profile: 5+ years of experience in Data Engineering Strong SQL skills and experience with relational and analytical databases Proven experience building batch data pipelines (
Applying for this Senior Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Xebia?
Real rants from real employees. Read before you apply.