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# Senior Data Engineer - UK

- **Company:** AVP Vigilant Technology Pvt Ltd
- **Location:** UK
- **Experience:** Expert
- **Salary:** £70,000.0 - £85,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Business Analytics Applications, Data Analysis, Cloud Database, Cloud Engineering, Data as a Services, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Performance Tuning, Power BI, SQL Databases, Enterprise Data Management, AWS Data Analytics, Data Pipelines
- **Published:** July 10, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5794967666

## About the Role

Note: The position is for UK region, so the candidate who resides in UK are preferred. Holding Security Clearance certificate is added plus., * 8+ years of experience in data engineering.

 * Strong expertise in SQL, Python, ETL frameworks.
 * Hands-on experience with AWS Data Services (Redshift, Glue, S3, Lambda).
 * Proficiency in Power BI for reporting and visualization.
 * Solid understanding of data modeling, performance tuning, and cloud-native architectures.
 * Excellent problem-solving and communication skills.

Preferred Qualifications

 * Certifications in AWS Data Engineering or Analytics.
 * Experience in large-scale enterprise data platforms.
 * Familiarity with data governance and compliance frameworks.

## Description

We are seeking an experienced Senior Data Engineer to design, build, and optimize data pipelines and analytics solutions across enterprise environments. The ideal candidate will have strong expertise in SQL, Python, ETL frameworks, AWS Data Services, and Power BI for reporting and visualization., * Data Pipeline Development: Design and implement scalable ETL workflows using SQL and Python.

 * Cloud Data Engineering: Build and manage data solutions leveraging AWS Data Services (Redshift, Glue, S3, Lambda).
 * Data Modeling: Develop efficient data models to support analytics and reporting.
 * Analytics & Reporting: Deliver dashboards and insights using Power BI to support business decision-making.
 * Performance Optimization: Optimize queries, pipelines, and storage for speed and cost efficiency.
 * Collaboration: Partner with product, engineering, and business teams to align data solutions with organizational goals.


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