Data Engineer (Databricks, Python, Spark)

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At

Hays , we are partnering with a leading global 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 integral 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. xiphteb
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 in a controlled environment with Github and CI/CD release pipelines is highly desired
Experience with financial data providers such as Bloomberg in an asset/investment management firm or other financial service company is a plus.
Experience with conceptual, logical and/or physical database designs is a plus
Must be comfortable speaking English
A positive attitude and a ‘can do’ mentality are essential

What We Offer
Hybrid and flexible working model:

only

1 day per week on-site

at the Barcelona office (Via Augusta)
Opportunity to join a

high-impact global data transformation program

within a leading international financial services organization

If you're passionate about building impactful solutions and want to be part of a collaborative, forward-thinking team, we’d love to hear from you.

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