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Database Designer / Senior Data Engineer

Data Controller, VE Ltd
London
2 months ago
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London, United Kingdom | Posted on 16/06/2025

VE3 is a technology and business consultancyfocused on delivering end-to-end technology solutions and products. We havesuccessfully serviced enterprises across multiple markets, including the publicand private sectors. Our services span all aspects of business, providing aholistic approach to managing an organization. We are committed to providingtechnical innovations and tools that empower organizations with criticalinformation to facilitate decision-making that results in businesstransformation through cost savings and increased operational efficiency. Ourcommitment to quality is adopted throughout the organization and sets thefoundation for delivering our full suite of capabilities.

Job Description

Employment Type: Full-Time

Location: UK

Job Overview

We are looking for a skilled Database Designer / Senior Data Engineer to join our data engineering team. This role involves the development and maintenance of data solutions in the cloud environment. The ideal candidate will have a strong background in data processing and a solid understanding of cloud data services.

Requirements

Key Responsibilities

Design and implement modern data platforms in cloud such as AWS or Azure.

Develop data pipelines and data streaming processes.

Ensure data solutions are scalable, reliable, and efficient.

Collaborate with data analysts and other stakeholders to meet data requirements.

Optimize data storage and processing for performance and cost.

Maintain data security and compliance standards.

Minimum Qualifications

Bachelor’s degree in Computer Science , Information Technology, Engineering, or a related field.

Minimum 3 years of experience as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services.

Proficiency in SQL, Python, or Scala.

Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage , Azure Data Factory.

Knowledge of data modelling , ETL processes, and data warehousing principles.

Preferred Skills

Strong problem-solving and analytical skills .

Experience with cloud databases, cloud data services, messaging/ data streaming & big data technologies.

Familiarity with data visualization tools.

Excellent communication and teamwork skills.

Ability to work in a fast-paced and dynamic environment.

Data Certifications in AWS / Azure platforms will be a plus

Equal opportunities statement

A diverse range of opinions and perspectives is core to our open culture and ongoing success. As an equal opportunity employer, all applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.


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