Senior Data Engineer(Databricks)
Location: Remote from Spain (an indefinite Spanish employment contract)

We are hiring a Senior Data Engineer to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client. This is a hands-on senior role. You will write production code every week, own architectural decisions on your workstream, and mentor a paired mid-level engineer.
Project Overview:
Our client is an independent, active general asset manager with over R3 trillion in assets under management. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.
As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.
Requirements:
6+ years of data engineering experience, with at least the last three years on Databricks in production.
Deep hands-on experience with medallion / Lakehouse architecture,



Delta Lake, Unity Catalog, Lakeflow Declarative Pipelines and Databricks Asset Bundles.
Strong python, PySpark and SQL, comfortable diagnosing performance issues on large workloads through Spark UI and Photon.
Real production experience with streaming ingestion (Kafka Structured Streaming, Auto Loader) and CDC patterns.
Experience implementing data quality at scale (Great Expectations or equivalent), plus lineage, cataloguing and access control.
CI/CD on data platforms through Azure DevOps or GitHub Actions, with infrastructure as code (Terraform or equivalent).
Fluent working English.
Nice to have
Active Databricks certifications
Prior exposure to investment management platforms, asset management operations data, market data feeds from major providers
CDMP DAMA certification or equivalent data governance credential.
Experience applying agentic engineering tooling to production data engine

📌 Senior Data Engineer(Databricks) (España)
🏢 Intellias
📍 España