As a Software Engineer, you'll contribute to the design, development, and improvement of software solutions that drive our business, platform, and technology capabilities. This role offers an opportunity to work with cutting-edge technologies, collaborate with cross-functional teams, and play a vital role in the evolution of our digital landscape.

Key Deliverables

Contribute to the full software development lifecycle, from requirements gathering to deployment and maintenance, ensuring high-quality and scalable solutions.
Design, develop, and test ETL processes and data warehouse solutions using SQL and PySpark for data validation and transformation.
Collaborate with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration with business objectives.
Participate in code reviews, contribute to the development of reusable validation utilities, and promote a culture of code quality and knowledge sharing.
Ensure code is scalable, maintainable, and optimized for performance, adhering to industry best practices and Barclays internal standards.
Stay updated on the latest technology trends and advancements in data warehousing, cloud computing, and software engineering, integrating learnings into practical applications.
Contribute to the continuous improvement of our development processes by suggesting and implementing enhancements to workflows and tools to improve efficiency and quality

Essential Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
0-1 years of experience in software development, with a focus on data warehousing and ETL processes.
Strong proficiency in SQL and data modeling concepts (dimensional/3NF, SCDs, CDC).
Hands-on experience with PySpark for data validation at scale and building reusable validation utilities.
Practical experience with Linux/Unix operating systems and shell scripting for orchestration, log analysis, and job automation.
Familiarity with CI/CD pipelines, Git version control, and build/artifact management.
Excellent problem-solving, communication, and a quality-first mindset.

Preferred Qualifications

Experience with Ab Initio (GDE graphs, plans, psets, EME object/version management).
Exposure to job schedulers (Autosys/TWS or similar).
Experience validating outputs of decisioning/rules engines (e.g., FICO Blaze or similar).
Familiarity with SOx/KCFC evidencing and control testing processes

Skills

Must-Have Skills

Technical: Strong SQL expertise for data manipulation, querying, and optimization; proficiency in PySpark for large-scale data validation; experience with Linux/Unix environments and Shell Scripting.
Domain Knowledge: Understanding of data warehousing concepts, ETL processes, and data modeling techniques.
Behavioral & Interpersonal: Excellent communication skills; ability to collaborate effectively in cross-functional teams; proactive approach to problem-solving.
Process & SOP: Experience with CI/CD pipelines, Git version control, and build/artifact management.
Analytical & Problem-Solving: Strong debugging, troubleshooting, and analytical skills; ability to identify and resolve performance bottlenecks.

Good-to-Have Skills

Advanced Technical: Practical Ab Initio experience; exposure to cloud data stacks (AWS or Azure); familiarity with containerization technologies (Docker/K8s).
Additional Certifications: AWS Certified Developer, Azure Developer Associate, or similar certifications.
Cross-Functional Exposure: Experience working with product managers, designers, and other engineering teams.
Leadership Traits: Mentoring junior team members, facilitating knowledge sharing, and contributing to team growth.
Continuous Improvement: Familiarity with Agile methodologies: Scrum, Lean/Kaizen, Six Sigma

Application Engineer I

Software Engineer <> Barclays

Senior Azure Data Engineer