Data Engineer

About the Role

This Data Engineer role at Barclays is a key position in spearheading the evolution of our digital landscape, driving innovation and excellence. As a Data Engineer, you will be responsible for delivering the technology stack, using strong analytical and problem-solving skills to understand the business requirements and deliver quality solutions.

You will work on complex technical problems that will involve detailed analytical skills and analysis, in conjunction with fellow engineers, business analysts, and business stakeholders.

Key Responsibilities

• Design and develop ETL processes and data pipelines for Foundational, Consolidated, and Business data Products for the Tesco Tenancy on EDP.
• Work on complex technical problems that involve detailed analytical skills and analysis.
• Collaborate with fellow engineers, business analysts, and business stakeholders to understand business requirements and deliver quality solutions.
• Develop and maintain data engineering solutions using industry-aligned programming languages, frameworks, and tools.
• Ensure code is scalable, maintainable, and optimized for performance.
• Collaborate with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities.

Skills & Qualifications

• Experience in ETL / data processing / data warehousing / data engineering / RDBMS / PySpark.
• Experience in Data Processing and ETL in On-prem and Cloud-based systems.
• Proficient in at least one Python programming language.
• Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, etc.
• Experience with CI/CD tools and pipelines (Jenkins, GitLab CI, etc.) for automation and deployment.
• Good understanding of cloud security best practices and experience with IAM, VPC, security groups, and encryption mechanisms.
• Good knowledge of monitoring, logging, and troubleshooting tools (e.g., CloudWatch, CloudTrail).
• Experience with version control systems (Git, GitHub, Bitbucket).
• Strong communication skills and ability to work in a collaborative team environment.

What You'll Learn

In this role, you will gain hands-on experience with data engineering tools and technologies, including PySpark, AWS, and Databricks.

You will also develop strong analytical and problem-solving skills, as well as the ability to work collaboratively with cross-functional teams.

This role offers a unique opportunity to contribute to the evolution of Barclays' digital landscape and drive innovation and excellence.

Resume Tip

When applying for this role, be sure to highlight your experience with data engineering tools and technologies, as well as your analytical and problem-solving skills.

Also, be sure to emphasize your ability to work collaboratively with cross-functional teams and your strong communication skills.

This will help you stand out as a strong candidate and demonstrate your potential to succeed in this role.