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An established industry player is seeking a Data Platform Engineer to join their collaborative team. This role offers a fantastic opportunity to work on a transformative data architecture project within the London Insurance Market. You'll be responsible for implementing modern cloud solutions and maintaining traditional MS stack systems while fostering strong relationships with stakeholders. If you have a passion for data and a desire to grow your skills in a supportive environment, this position is perfect for you. Join a friendly team and contribute to innovative data-driven decision-making initiatives.
Join to apply for the Data Platform Engineer - SSIS & T-SQL, Data Factory - Hybrid role at P&I Insurance Services.
Location: City, London/ Hybrid (3 days per week in the office)
Type: Permanent
Salary: £85,000 per annum + benefits + bonus
PLEASE ONLY APPLY IF YOU HAVE EXPERIENCE WORKING WITHIN A DATA FUNCTION IN A LONDON INSURANCE MARKET SETTING.
A fantastic opportunity has arisen for a Data Platform Engineer with previous London Insurance Market experience to join a prestigious Specialist Insurer and be responsible for developing and maintaining a modern, scalable and reliable data architecture.
You will be integral to the successful delivery of my client's data transformation programme and data-driven decision-making initiatives, consisting of embedding self-service insights capabilities into the organisation that are fit for today's needs and transitioning from legacy MS stack-based architecture to modern cloud solutions which are underpinned by their data governance framework.
This role will suit a business-focused individual, able to deliver end-to-end deliverables from requirements gathering to testing and have experience of working following agile methodologies.
You will join a small yet very friendly and collaborative Data Platform team with a great work ethic where you will be able to grow your technical skills further and gain wider exposure to the business and industry.
Mid-Senior level
Full-time
Information Technology
Data Infrastructure and Analytics