Data Engineer

Data Engineer Location: London, UK – Hybrid (3 days onsite per week) Pay Rate: £32.69 per hour PAYE + 33 days' holiday pay on pro rata Contract: 7 months Working Hours: 40 hours per week, Monday to Friday, 9:00 AM – 6:00 PM About the Role We are looking for a skilled Data Engineer to join a leading global technology company on a 7-month contract. You will work on data engineering projects focused on building reliable data pipelines, developing reporting infrastructure, and measuring key operational metrics. This is an excellent opportunity for someone with strong SQL and Python skills who enjoys solving technical problems and delivering end-to-end data solutions in a fast-paced, product-led environment. Key Responsibilities

• Build, maintain, and optimize end-to-end ETL/ELT data pipelines.
• Write and optimize SQL queries for data extraction, transformation, validation, and reporting.
• Use Python to automate processes, troubleshoot issues, and support data workflows.
• Develop and maintain data models, structured datasets, dashboards, and performance metrics.
• Support data logging, pipeline development, and the infrastructure required for accurate metric measurement.
• Implement data quality checks and monitoring to ensure reliable data outputs.
• Investigate data discrepancies, debug technical issues, and improve pipeline performance.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions.
• Use AI-assisted coding tools to support development, debugging, and problem-solving.
• Take ownership of projects and deliver data pipelines and reporting solutions independently. Essential Skills & Experience
• Approximately 3–4 years of experience in Data Engineering, Analytics Engineering, BI Engineering, or a related field.
• Strong SQL skills, including complex queries, data transformation, and optimization.
• Hands-on experience with ETL/ELT processes and production data pipelines.
• Practical Python programming experience.
• Understanding of data modelling, structured datasets, and analytics workflows.
• Experience developing dashboards, visualizations, or reporting metrics.
• Previous hands-on experience using AI-powered tools for coding and debugging.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication skills and the ability to work independently. APPLY NOW!!