PERSONAL SKILLS

• Excellent problem-solving skills and able to deal with ambiguity.
• Ability to work under pressure and shift priorities depending on business need.
• Comfortable providing technical support and direction to colleagues

TECHNICAL SKILLS

• Experienced in ETL/ELT techniques integrating into Data Warehouse solutions.
• Solid understanding of Relational Databases & Data Warehouse methodology with some understanding of concepts such as Kimball, Inmon & Data Vault.
• Knowledge of various architectures and methodologies like metadata management, performance management and handling data quality issues.
• Experience working in a DevOps environment including Agile, Scrum or Kanban project management methodology.
• Developing in Cloud environments such as Azure, Snowflake, AWS etc.
  As an inclusive employer, we want to ensure that all candidates feel comfortable and can perform at their best during the interview. You’ll have the opportunity to let us know of any reasonable adjustment or practical support needed when you apply.

WHO WE ARE:

At Zurich we aspire to be one of the most responsible and impactful businesses in the world and the best global insurer. Together we’re creating a brighter future for our customers, our people and our planet.
With over 55,000 employees in more than 170 countries, you’ll feel the support of being part of a strong and stable company who are a long-standing player in the insurance industry.
We’ve made a promise to each other and every employee; to focus on sustainable impact, to care about each other’s wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future.
If you’re interested in working in a dynamic and challenging environment for a company that recognises and rewards your creativity, initiatives and contributions - then Zurich could be just the place for you. Be part of something great.

WHAT WILL YOU BE DOING?

• Take a key role in the design, build and implementation of Data pipelines onto the Snowflake platform from a variety of input data source formats, frequencies and latencies
• Work with key business consumers to prototype, build and enhance data interfaces, reporting data marts and analytical models
• Lead the charge with innovation and experimentation, driving an automation first mindset
• Work closely with our Data Science and Analytics team to leverage opportunities within our data for insights business value
• Proactively drive sprint planning and the creation of tasks to help understand burndown, identify and remove blockers and drive continual improvement