Senior Data Engineer
Dublin, Ireland
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RenaissanceRe
RenaissanceRe is a global property and casualty reinsurer based in Bermuda with offices in the UK, US, Europe, Australia and Singapore.RenaissanceRe is a leading writer of Property & Casualty Reinsurance. For over 25 years, we have helped customers and communities recover and build resilience through our industry-leading ability to understand risk, source efficient capital and rapidly pay claims.
Our global team shares a passion for solving our customers’ biggest problems through a collaborative and entrepreneurial culture that empowers employees and rewards creative thinking.
About the Position
Reporting directly to the IT Lead and working within the Portfolio & Capital domain the Senior Data Engineer will design and build data products for RenaissanceRe users. The role is based in the Dublin office.
We are seeking a talented, highly motivated Senior Data Engineer with experience in designing and developing data and analytics solutions in a cloud environment. The successful candidate will work within our development team building next generation data solutions on AWS for our Risk & Underwriting business unit. This is an excellent opportunity for an individual with an energetic and enthusiastic approach who wishes to grow their development, architectural and leadership skillsets through working in a highly collaborative, fast paced and rapidly changing business environment.
Our technological platform is constantly evolving as we apply new and emerging technologies to our expanding business. The Portfolio & Capital data engineering team manages data and analytics solutions at the head of RenaissanceRe’s risk portfolios management strategy and supports a global user base. The nature of our business demands high levels of agility, which in turn requires our team to be technically superior. If you are eager to work in a team delivering serverless first data solutions on AWS, this is the job for you!
Key Relationships
Reports to: IT Lead
Key Responsibilities
Partner with stakeholders to establish key requirements for our solutions. Then working with the engineering team to design and develop data and analytics solutions and related processes to meet and exceed the requirements of the business.
Support our applications and tools through their lifecycle of requirements, development, testing, deployment, documentation, operation, user training, maintenance and enhancement.
Ensure stability, integrity, accuracy, timeliness and usability of existing data resources.
Understand and contribute to our strategic architecture initiatives, and act as a day-to-day champion to progress these forward within the domain.
Produce code following the established engineering standards.
Meet or exceed the quality, reliability, resilience, scalability and stability goals.
Collaborate with all stakeholders in establishing, refining, and documenting database and other functional requirements.
Using specialist knowledge to inform the team’s technical decisions.
Contributing to the review, selection and adoption of proprietary and third-party solutions.
Ensuring compliance with relevant company standards and guidelines.
Contributing to the technological and methodological direction of software within the development team and the company.
Embrace the RenaissanceRe culture and consistently demonstrate it in daily activities.
Candidate Qualifications:
Extensive experience working in Data and Analytics, with domain expertise architecting, designing, and developing end-to-end data solutions.
A degree level education in a relevant discipline or equivalent industry experience.
A proven track record of delivery using a range of data technologies.
A proven ability for design with a detailed understanding of industry standards and norms across data, including but not limited to ETL, data & dimensional modelling. Experience of large-scale solution design and architecture.
A detailed knowledge of Continuous Integration / Continuous Deployment practices with practical knowledge of DevOps principles.
Demonstrable analytic and problem-solving skills.
Flexibility to work independently or as part of a team is required.
Technical Skills:
Required:
Working experience in AWS Platform (or other cloud service like Microsoft Azure).
Proficiency in SQL (essential) and Python.
Experience working with AWS Lambda, Glue, Spark, Athena and Step Functions.
A passion for learning new concepts and technologies.
Nice to have:
AWS Solutions Architect (Associate/Professional) or AWS Certified Developer (Associate) or AWS Certified Data Engineer (Associate)
Working knowledge of Dremio.
Working knowledge of Docker.
Working knowledge of data lakehouse architecture.
Understanding of Data Mesh concepts.
Working knowledge of infrastructure as code tooling such as CDK or Serverless.
Our people are our most valuable resource and core to our success. This is a fast-paced business environment, demanding a strong work ethic and a results-oriented approach. We offer competitive compensation and benefits, a comprehensive talent development program, and a reward system in which employees share in the success of the company. We are an engaged member of the communities in which we live and work and have a locally-led giving philosophy with generous employee matching program, global and local community grants and employee volunteerism.
We seek diversity, create equity, and practice inclusion. Our people are at the heart of everything we do. We are an equal opportunity employer. We provide equal opportunity to all qualified individuals regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, marital status, pregnancy, disability, military status or other legally protected categories.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Athena AWS Azure DevOps Docker Engineering ETL Lambda Python Spark SQL Step Functions Testing
Perks/benefits: Career development Competitive pay Equity / stock options Team events
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