Senior Data Engineer EMEA

Job Title

Senior Data Engineer EMEAJob Description Summary

About the team

We are a small Center of Excellence within a larger EMEA team, with deep specialization in data engineering. Our mission is to build the platform that defines how our organization wins in the age of AI, the solution that will be used globally. We are in the middle of a transition: from a team that writes code to a team that orchestrates AI to write, test, and operate code on our behalf.

About the role

You will help us build that future. This is a hands on senior engineering role with significant influence on the technical direction of the platform. You will work directly with the team lead and a group of analytical engineers who push each other to stay at the frontier of what is possible.Job Description

What you will work on

• Driving the shift from a code writing team to an AI orchestration team. This means building agentic workflows that handle data engineering tasks and CI/CD, designing semantic models for downstream consumption, and implementing an AI Gateway for governance.
• Stewarding our AI amplified Databricks based framework, maintaining it and improving it incrementally as we learn.
• Designing data models that bring sources from anywhere in the world into a single coherent shape.
• Building data solutions for domains like custom MDM, geocoding, client mastering, and profiling. Real estate context is a plus but not required.
• Designing and implementing stable, automated ingestion pipelines from diverse sources.
• Owning production troubleshooting and root cause analysis. When things go wrong, you diagnose and resolve pipeline failures, performance issues, and data quality problems by working through code, logs, and documentation systematically.
• Reporting on data quality and shipping the improvements that move the numbers.

What we are looking for

Core technical skills

• Systems thinking. You see the bigger picture and build for scale rather than for the ticket in front of you.
• Production troubleshooting and root cause analysis. You diagnose and resolve pipeline failures, performance issues, and data quality problems under pressure, working through code, logs, and documentation systematically rather than guessing.
• Data modeling. You design cross functional data products, establish data contracts, and handle complex business rules.
• Advanced SQL, including window functions, query optimization, and MERGE/UPSERT operations.
• Python and PySpark. You write reusable, parameterized functions and work comfortably with JSON, CSV, and Parquet.

Platform knowledge

• Deep experience with Databricks (Declarative Pipelines, DABS, Delta Lake, Spark optimization, job orchestration).
• Familiarity with the Azure ecosystem.
• Working understanding of Unity Catalog.

About you

• Around 6 or more years of relevant experience.
• A degree in a quantitatively rigorous field such as computer science, data science, econometrics, mathematics, or physics.
• Driven and curious. You want to work on things that have not been figured out yet.
• Strong written communication. Async updates and clear documentation are part of the job.

Nice to have

• Advanced Spark optimization (broadcast joins, salting, partitioning strategies).
• Geospatial data processing (H3 indexes, spatial SQL, point in polygon at scale).
• Recursive CTEs and complex SQL patterns.
• Infrastructure familiarity (Azure Portal, resource management, CLI).
• Strong Git workflows and code review habits.
• Real estate domain experience.

What we offer

• Autonomy. We set the high level roadmap. You decide how to get there.
• Dedicated learning time and a team that levels each other up. The frontier moves weekly. We give you the time to keep up with it, and you will be surrounded by people doing the same.
• A growth path. The team is grow