Data Engineer

About the role

Barclays is seeking a Data Engineer to support Location Strategy projects, driving digital innovation and ensuring high‑quality data solutions for millions of customers.

Key responsibilities

• Administer and support Qlik Sense and QlikView environments, including installations, upgrades, migrations and performance monitoring.
• Design, develop and maintain enterprise‑grade dashboards and analytical applications using Qlik platforms.
• Integrate Qlik with Snowflake, AWS S3, Oracle, SQL Server, MongoDB and other data sources; manage bulk data loads and Snowpipe pipelines.
• Support day‑to‑day platform operations, incident management, change activities and continuous service improvement.
• Collaborate with infrastructure, security, business stakeholders and data scientists to deliver data pipelines, warehouses and machine‑learning models.

Required profile

• Strong experience administering QlikView/Qlik Sense and developing dashboards.
• Hands‑on expertise with Snowflake data warehouse and AWS S3 integration.
• Solid understanding of relational and non‑relational databases (Oracle, SQL Server, MongoDB).
• Experience in platform administration on Windows and Linux/Unix environments.
• Familiarity with ITIL processes and enterprise BI service management.

Required skills

• Qlik Sense, QlikView
• Snowflake, Snowpipe, COPY commands
• AWS S3
• SQL, PL/SQL
• JSON, CSV, PARQUET, ORC
• Windows Server, Linux/Unix
• Networking concepts (SSL, load balancers, DNS, IP routing)
• CI/CD, DevOps, PowerShell, Python, Shell scripting