data engineer in banking

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

Описание

Barclays is a banking and financial services organization that transforms complex data into strategic assets supporting innovation, regulatory compliance, advanced analytics, and AI.

Задачи

• Build and maintain data architecture pipelines for transferring and processing durable, complete, and consistent data
• Design and implement data warehouses and data lakes that handle required data volumes and velocity while meeting security measures
• Develop processing and analysis algorithms for the intended data complexity and volumes
• Collaborate with data scientists to build and deploy machine learning models
• Contribute to or set strategy, drive requirements, and recommend changes
• Plan resources, budgets, and policies
• Manage and maintain policies and processes
• Deliver continuous improvements and escal...
• Guide technical direction as a subject matter expert within the discipline
• Lead collaborative, multi-year assignments
• Guide team members through structured assignments
• Identify when additional areas of specialization are needed
• Train, guide, and coach less experienced specialists
• Provide information affecting long-term profits, organizational risks, and strategic decisions
• Advise functional leadership teams and senior management on functional and cross-functional impacts and alignment
• Manage and mitigate risks through assessment in support of the control and governance agenda
• Demonstrate leadership and accountability for managing risk and strengthening controls
• Collaborate with other work areas to stay aligned with business activity and strategies
• Create solutions by comparing and selecting complex alternatives
• Apply extensive research to problem-solving processes
• Build and maintain trusting relationships and partnerships with internal and external stakeholders

Требования

• Experience with cloud data warehousing solutions such as Snowflake, Amazon Redshift, or AWS
• Understanding of data integration processes and tools such as Databricks, DBT, or Glue
• Ability to design data models aligned with ETL pipelines
• Understanding of data management standards, regulatory compliance including GDPR and HIPAA, and security protocols
• Deep knowledge of entity-relationship modeling, normalization and denormalization, and dimensional modeling
• Proficiency with data modeling tools such as erwin Data Modeler, SAP PowerDesigner, or ER/Studio
• Advanced SQL skills, including DDL and DML
• Ability to profile, analyze, and manipulate data in relational database management systems
• Ability to translate complex business requirements into structured, efficient, and scalable data models
• Ability to ensure data integrity and optimize database performance through indexing and partitioning
• Excellent verbal and written communication skills for explaining technical data concepts to non-technical stakeholders
• Experience working in agile teams with data engineers, architects, and business analysts
• Ability to demonstrate risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology skills
• Nice to have: Experience guiding team members, training and coaching less experienced specialists, and advising senior stakeholders

Условия

Office role in Glasgow.