Senior Data Engineer

CompanyNeev

LocationLondon Area, United Kingdom

Posted At3/9/2026

UK Visa Sponsorship Analytics

Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Neev. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

NOTE: VISA SPONSORSHIP IS NOT PROVIDED

Role: AWS Data Engineer

Location: London, UK (3 Days / Week Onsite)

Type: Fixed Term Contract (6 Months)

Mandatory Skills Needed : SQL ( Advanced) , AWS Cloud (Glue,Ethena,EMR), Airflow, Kafka/ Kenesis ,Python, Terraform DBT & Snowflake (Basic)

Requirements:

Design, develop, and maintain data pipelines for collecting, transforming, and loading data into various data stores.
Build and maintain data warehousing and data lake solutions
Develop and deploy data models that support various business requirements
Lead the design of data solutions with quality, automation, and performance in mind
Own the data pipelines feeding into the Data Platform ensuring they are reliable and scalable
Ensure data is available in a fit-for-purpose and timely manner for business and analytics consumption
Work with Data Governance team to ensure solutions are compliant with regulations such as GDPR and CISO policies and data quality is baked-in to pipelines

Maintain and optimise existing data pipelines to improve performance and quality, minimising impacts to business

Collaborate with cross-functional teams to understand data requirements and provide support for data-driven initiatives

Set and embed standards for systems and solutions, and share knowledge to keep the team engaged and skilled in the latest technology

Prototype and adopt new approaches, driving innovation into the solutions

Work closely with the Data Product Manager to support alignment of requirements and sources of data from line of business systems and other endpoints

Effectively communicate plans and progress to both technical and non-technical stakeholders

Develop and implement the Data roadmap for strategic data sets

Communicate complex solutions in a clear and understandable way to both experts and nonexperts

Mentor and guide junior members of the team to help them get up to speed in a short amount of time

Interact with stakeholders and clients to understand their data requirements and provide solutions

Stay up-to-date with industry trends and technology advancements in data engineering

Promote the Data Platform and Data & Analytics team brand throughout the business and represent the interests of data engineering in cross-functional forums

Champion the importance of modern data solutions across the business and support the education of colleagues on the business value of obtaining good quality data

Extensive experience leading AWS and cloud data platform transformations

Proven track record of delivering large-scale data and analytical solutions in a cloud environment

Hands-on experience with end-to-end data pipeline implementation on AWS, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance

Expertise in developing Data Warehouses

In-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh

Strong knowledge of data architecture and data modelling practices

Cost-effective management of data pipelines

Familiarity with CI/CD driven data pipeline and infrastructure

Agile delivery approach using Scrum and Kanban methodologies

Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an agile team

Supporting QA and user acceptance testing processes

Innovative problem-solving skills and ability to provide clear recommendations

Understanding of the impact of changes to business rules on data processes

Excellent communication and influencing skills, especially in regard to data solutions and outcomes

Experience managing and leading a small team of data engineers

Self-driven and constantly seeking opportunities to improve data processes.

Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities.