Overview
We are seeking a Data Engineer to collaborate with business stakeholders in designing, building, and maintaining innovative data solutions. You'll play a key role in developing a cloud-based analytics platform on Azure while facilitating seamless integration with various systems, including AWS environments. Your expertise will be crucial in creating robust data pipelines that transform raw information into actionable insights for business intelligence, advanced analytics, and strategic modelling.
Location: London - Hybrid Working
Employment Type: Permanent
Salary: £40k-£50k
Responsibilities
* Collaborate with business stakeholders to design, build, and maintain innovative data solutions
* Develop a cloud-based analytics platform on Azure with integration to AWS environments
* Create robust data pipelines that transform raw data into actionable insights for business intelligence, advanced analytics, and strategic modelling
The Team & Environment
Join during a digital transformation as we harness data and analytics to drive informed decision-making. The Data, Analytics and Insight division focuses on a customer-centric approach to data utilisation to continuously evolve and deliver value.
Data & Roles within the Team
* Business Intelligence – visualisations and dashboards for accessible insight
* Customer Research – understanding user needs and behaviours via research and analytics
* Data Management – enterprise data governance and quality standards
* Strategic Partnerships – data exchange with external service providers
* Data Governance – data literacy, governance frameworks, and collaborative strategies
* Advanced Analytics – statistical analysis, predictive modelling, and data science techniques
What's in it for you
* Flexible Working Culture
o Hybrid arrangements (office 1-2 days per week minimum) with remote flexibility
o Flexible hours and compressed hours options
o Part-time and job-sharing opportunities
* Competitive Package
o Performance-related bonus, rewards programme
o Pension contributions (matching up to 10%)
o Comprehensive income protection insurance
o Extensive benefits portfolio
* Career Development
o Substantial learning and development budget
o Supportive environment for skill development
Data Engineer How to Apply
We encourage applications from candidates with diverse backgrounds and working preferences. The recruitment process is designed to accommodate various needs and circumstances. McGregor Boyall is an equal opportunity employer and does not discriminate on any grounds.
Seniorit y level: Entry level
Employment type: Part-time
Job function: Information Technology
Industries: Data Infrastructure and Analytics
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