data engineer in banking
Posted
Summary
Office-based data engineer for Barclays in Glasgow who builds data pipelines, designs data warehouses and data lakes, and develops data models using Snowflake, Redshift/AWS, Databricks, DBT, and advanced SQL. Also collaborates with data scientists on ML models and coaches less experienced engineers.
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.