Senior Data Engineer reference: 0000055369

Barclays is seeking a talented and experienced Senior Data Engineer to join their dynamic team in Glasgow. This is a compelling opportunity for individuals passionate about building and optimizing robust data solutions that underpin critical business functions. If you're looking to make a significant impact within a leading financial institution, this role offers a platform for growth and innovation.

About the Opportunity:

As a Senior Data Engineer at Barclays, you will be instrumental in shaping the future of their Enterprise Data Platform. Your responsibilities will span the entire data lifecycle, from ingestion and transformation to orchestration and governance, ensuring high-quality, secure, and scalable data for the organization. The role is multifaceted, requiring a blend of hands-on technical expertise and strategic thinking.

Key Advantages for Candidates:

• Cutting-Edge Technology Stack: You'll gain extensive experience with a modern and diverse technology landscape, including AWS, Azure, Snowflake, Databricks, dbt, and Apache Airflow. This exposure will significantly enhance your skillset and marketability.
• Impactful Work: Your contributions will directly support the organization's ability to collect, store, process, and analyze data, enabling informed decision-making across the business.
• Hybrid Cloud Environment: This role provides invaluable experience working with both cloud-native services (AWS, Azure) and on-premises systems, a highly sought-after skill in today's data landscape.
• Focus on Data Quality and Governance: You'll have the opportunity to implement and refine data quality frameworks and leverage metadata and governance tools, demonstrating a commitment to best practices.
• Career Development and Leadership: Whether you aspire to be a technical leader or a people manager, this role offers pathways for growth. The description outlines expectations for both individual contributors who guide complex assignments and those who lead teams, including coaching and performance appraisal.
• Strategic Influence: You'll be expected to advise on decision-making, contribute to policy development, and influence stakeholders, allowing you to shape the strategic direction of data initiatives.

Key Considerations for Your Career Path:

• Technical Depth Required: Success in this role hinges on strong, hands-on engineering skills. Candidates should possess deep expertise in data pipeline development, transformation, orchestration, and data warehousing. Proficiency with Python, PySpark, and SQL is essential.
• DevOps and CI/CD for Data: Familiarity with DevOps principles and CI/CD pipelines for data, using tools like GitHub Actions, is highly valued. This indicates a focus on efficient and automated data engineering practices.
• Observability and Cost Optimization: Understanding monitoring frameworks and FinOps practices demonstrates a proactive approach to resource management and cost-effectiveness, which is crucial in large-scale data environments.
• Collaboration and Business Acumen: Beyond technical skills, the role emphasizes collaboration with other business divisions and a strong understanding of business strategy. You'll need to translate technical solutions into business value.
• Risk and Controls Awareness: As part of a financial institution, a keen understanding of risk and controls, and the ability to develop new policies and procedures to strengthen governance, is a critical component of this role.
• Barclays Values and Mindset: Candidates should align with the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and embrace the Barclays Mindset of Empower, Challenge, and Drive.

This Senior Data Engineer position in Glasgow presents a significant opportunity for experienced professionals to advance their careers in a challenging and rewarding environment. If you possess the required technical acumen, a passion for data, and a desire to contribute to a leading global organization, we encourage you to explore this exciting prospect.