Senior Data Engineer - Banking & AI Analytics

Enfint; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

Barclays is a banking and financial services organization transforming complex data into strategic assets to support innovation, regulatory compliance, advanced analytics and AI.

Barclays is seeking a Senior Data Architect to build and maintain data architecture pipelines, design scalable data warehouses and data lakes, and collaborate with data scientists to deploy ML models. You will shape data strategy, ensure compliance, and guide teams on multi-year initiatives.

Qualifications

• Experience with cloud data warehousing solutions such as Snowflake, Redshift, or AWS.
• Understanding of data integration tools like Databricks, DBT, or Glue.
• Ability to design data models aligned with ETL pipelines.
• Knowledge of GDPR, HIPAA, and security protocols.
• Strong ER modeling, normalization and dimensional modeling.
• Proficiency with data modeling tools (ER/Studio, erwin, SAP PowerDesigner).

Responsibilities

• Build and maintain data architecture pipelines for transferring and processing data.
• Design data warehouses and data lakes that handle volumes and velocity with security in mind.
• Develop processing and analysis algorithms for complex data at scale.
• Collaborate with data scientists to deploy machine learning models.
• Provide strategic direction, requirements, and governance for data platforms.
• Lead multi-year data projects and guide teams through structured assignments.

Skills

SQL

Data modeling

Regulatory compliance

Analytical thinking

Agile teamwork

Tools

Snowflake

Redshift

AWS

Databricks

DBT

Glue

ER/Studio

erwin Data Modeler

SAP PowerDesigner

Job description

Barclays is a banking and financial services organization transforming complex data into strategic assets to support innovation, regulatory compliance, advanced analytics and AI.

Barclays is seeking a Senior Data Architect to build and maintain data architecture pipelines, design scalable data warehouses and data lakes, and collaborate with data scientists to deploy ML models. You will shape data strategy, ensure compliance, and guide teams on multi-year initiatives.