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SalarySenior Data Engineer – Insurance
Manchester OR Liverpool Based
Must have Insurance OR Financial Services Industry Experience
Paying up to £90,000
Description:
A global market leader in re-insurance, global specialty insurance and digital solutions. New technologies are disrupting the insurance value chain. Our innovative minds in IT spearhead the transformation and make change happen. We support clients with a comprehensive range of insurance and risk management products. Our goal is to become even more digital through the expertise of our IT & Tech specialists, and by leveraging data and insights to support innovation and client service.
This new role is a high impact position needed to support the delivery of large data programs. This role will help the organisation to implement what is needed to deliver our strategic data platforms.
In this position you will:
- Work closely in partnership with large system integrators to support the delivery of the programs that align to our data strategy.
- Work with one or more delivery teams on a given program to ensure requirements are obtained, work has been properly identified, and lead or support engineers in delivering the data products required as part of the programs.
- Partners with data management and governance leads to ensure that projects are delivered at or under budget and follow all compliance, regulatory, and data quality requirements.
- Ensure partner organizations (e.g. DevSecOps) have the details required to support the timely builds for environments and automation.
Successful candidates will also possess the following experience, skills, qualifications, and/or competencies:
- Technical: Strong hands on skills that can be leveraged directly in the deliverable and/or ensuring that their team is effectively working.
- Commercial: passionate about solving problems, enjoy connecting the dots between data, strategy and analytics, obsess with generating tangible benefits and high performance.
- Communication: Advanced verbal and written communications skills, as well as active listening, along with teamwork and presentation are essential.
- Must communicate clearly, effectively, and concisely, both verbally and in written form.
- In-depth knowledge of data delivery and associated architecture principles, data modelling concepts, ETL procedures, and all steps of data production process
- Experience with on-prem and cloud versions of databases such as Oracle and SQL Server..
- Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps).
- Experience with mass ingestion capabilities and cloud process flows, data quality and master data management
- Understanding data related security challenges and tooling with specific technologies (e.g. Databricks)
- Experience in migrating data and associated systems from on-prem to Cloud environments
