Data Engineer (Databricks, Python, Spark)
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At

Hays

, we are partnering with a leading integral company in the financial services and investment management sector to find an experienced

Data Engineer

to join a strategic data transformation project.

This is an exciting opportunity to work with international teams, modern cloud technologies, and large-scale financial datasets, helping build and enhance a key data platform that supports critical investment operations and analytics.

What you will do
Design, develop, and maintain scalable data pipelines using Databricks.
Build Big Data solutions with Spark, PySpark, and cloud technologies.
Collaborate with global investment and technology teams to deliver data-driven solutions.
Support business stakeholders with data insights and reporting.
Contribute to best practices, CI/CD processes, and continuous improvement initiatives.




Explore and leverage AI and LLM technologies to enhance platform capabilities.

What we are looking for
3+ years of Data Engineering

experience including 2+ years designing and building

Databricks data pipelines

is required.
2+ years of hands-on

Python/Pyspark/SparkSQL

and/or

Scala

experience
2+ years of experience with

Big Data pipelines

or

DAG Tools (Data Factory, Airflow, dbt, or similar)
2+ years of

Spark

experience (especially Databricks Spark and Delta Lake)
2+ years of hands-on experience implementing

Big Data solutions

in a cloud ecosystem, including

Data/Delta Lakes
Azure cloud

is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu. xbhjioe
Experience with

AI, LLMs, Databricks Genie

or similar tools is required
2+ years of

SQL experience

, specifically to write complex, highly optimized queries across large volumes of data is highly desired
Experience working

📌 Data Engineer (Vitoria-Gasteiz)
🏢 Hays
📍 Vitoria-Gasteiz