Senior Data Engineer

2 weeks ago

Liverpool, Liverpool, United Kingdom Munich Re Specialty Group Full time

Munich Re is 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. We are therefore making targeted IT investments and helping our insurance clients and partners to tackle problems in the modern digital world with innovative and forward-looking solutions.

Location: Liverpool

This exciting role is a high impact position needed to support the delivery of large data programs within MunichRE's Global Specialty Organization (GSI). This role will help the organization to implement what is needed to deliver our strategic data platforms. Work will include, but not limited to the end to end support for acquisition, organization, integration, transformation and secure storage of mission-critical data. This role will report into the team led by the Head of Business Solutions Data & Analytics for GSI4.

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. Partner with both the business and technical team to ensure that solutions are aligned to the business needs and follow enterprise standards and guidelines. 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. Leadership: Strong influencing skills and experience with a track record of empowering people to execute efficiently towards a common and understood goal. Organization: successfully juggle multiple, competing priorities and coordinate multiple tasks to ensure that work output from others is delivered on-time and accurately while operating in a fast-paced and rapidly evolving environment. 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 Prior experience in insurance and/or reinsurance in support of specialty lines is a plus. Extensive hands on experience in SQL, Python, Data Integration/Ingestion and associated patterns - ETL tooling – Informatica IICS, ADF, Notebooks, Databricks, Delta Lake, Warehousing technologies and associated patterns, Cloud platforms – Azure preferred. Experience with on-prem and cloud versions of databases such as Oracle and SQL Server. Professional certifications in public cloud and tooling – Informatica and Azure are highly desired. Analyzes data requirements and provides data analysis techniques, and applies data modeling (including data vault) and data quality techniques to establish, modify or maintain data structures and their associated components in complex environments Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, AzureDevOps). Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner. 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 Consulting and collaborative working style creating a culture of accountability and sharing. Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus. Excellent verbal and written communication coupled with negotiation skills. Ability to work in a demanding and fast-paced environment.

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