Job Description
We're partnering with a leading global investment firm undergoing a major
data & cloud transformation
, and they're hiring experienced Data Engineers to build out their next-generation data platform. This is a rare opportunity to work on a
modern lakehouse architecture
with
Databricks at the core
, fully integrated with
AWS cloud-native services
.
What you'll be doing: Building scalable data pipelines using
Databricks, PySpark, and SQL Designing and optimising data platforms on
AWS Working on enterprise-level data systems powering
investment & analytics use cases Collaborating closely with business stakeholders to deliver real data-driven impact What we're looking for: Strong hands-on experience with
Databricks (must-have) Solid background in
AWS + modern data stack (DBT, Airflow, etc.) Proven experience in building scalable data pipelines and platforms
Why this role: High-impact platform build (not BAU) Strong leadership backing a firm-wide...
data & cloud transformation
, and they're hiring experienced Data Engineers to build out their next-generation data platform. This is a rare opportunity to work on a
modern lakehouse architecture
with
Databricks at the core
, fully integrated with
AWS cloud-native services
.
What you'll be doing: Building scalable data pipelines using
Databricks, PySpark, and SQL Designing and optimising data platforms on
AWS Working on enterprise-level data systems powering
investment & analytics use cases Collaborating closely with business stakeholders to deliver real data-driven impact What we're looking for: Strong hands-on experience with
Databricks (must-have) Solid background in
AWS + modern data stack (DBT, Airflow, etc.) Proven experience in building scalable data pipelines and platforms
Why this role: High-impact platform build (not BAU) Strong leadership backing a firm-wide...
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