Senior Data Engineer Hybrid; m/f/x/d; 80-100

About the Role

The Senior Data Engineer will be a key member of the Data Office team, focused on optimizing the data pipeline of the company-wide Single Version of Truth (SVoT) along with delivering front end analytical solutions leveraging the SVoT.
As a data expert, the ideal candidate will have strong data analytical skills, a track record of utilizing data as an enabler with clear passion for engineering, development data ops and extracting value from data.

In this role, you will be responsible for more than development-you will engage in sophisticated data analysis, defining and refining data models, and optimizing data flows to support our Analytical Products.
Leveraging your insights and creativity, you will play a key role in architecting data transformations that align with business objectives, providing data that meets the nuanced and evolving needs of stakeholders.
Your leadership and expertise will be instrumental in mentoring team members, shaping best practices, and driving innovation across the Data Office team.
Within CorSo, we support multiple Lines of Business (LOB).
This role will predominantly focus on the Data and Analytics needs of our North America Accident and Health LOB.

Responsibilities
Collaborate with your users and stakeholders, understanding their data needs, finding innovative ways to leverage data in their daily processes and inform data-led decisions.
Deliver and maintain optimal data pipeline architecture to assemble large, complex data sets that meet functional / non-functional business requirements.
Perform complex end-to-end data analysis to define the target solution design for Analytical Products and our Single Version of Truth (SVoT).
Collaborate with other members of the Data Office, including data architects, data analysts, data engineers, analytics engineers and data scientists.
From business analysis and data modelling to data quality assurance, on a major global program in the Commercial Insurance sector in a fast-moving Agile environment.
About You

We are looking for someone with a solid foundation in data engineering and analytics, coupled with a passion for data-driven solutions.
As an experienced professional, you are excited to share your technical expertise and best practices with the team, fostering innovation and enhancing processes.
Technical skills
A university degree in computer science, data science, statistics, physics, or a related field, with a strong foundation in data engineering and analytics.
Advanced data analysis abilities with proven experience in:

Relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
NoSQL databases, including Postgres and Cassandra.
Python/PySpark.
Java (Beneficial).
Experience building and optimizing data pipelines in Spark 'big data' environment.
Experience working in Big Data architecture; Hadoop, HDFS, Kafka, etc.
Experience with Palantir Foundry (Beneficial).
Experience in data modelling and the various methodologies (3nF, etc.).
Experience using a data modelling tool, Power Designer, Erwin etc.
(Beneficial).
Theoretical and practical understanding of advanced statistical modelling, machine learning, and artificial intelligence is beneficial.
Soft skills
Previous project management or leadership experience in delivering data-related solutions, including leading teams and driving projects to successful completion.
Experience in collaborating and working with global business stakeholders.
Ability to communicate your understanding of requirements and objectives with your business partners at all levels.
Good commercial acumen, with a desire to understand detailed requirements and facilitate the process of analyzing solution options and comfortable with making strategic decisions.
(Re-) Insurance industry experience is a plus, especially in Underwriting or Actuarial domains.
Experience building data-related solutions and applications.
Including the design, development, deployment and change management practices (Agile code management, sprints, continuous integration).
Excellent command of English is a must.
Other languages like Spanish or German are beneficial.
For Spain, the base salary range for this position is between [EUR 59,000] and [EUR 99,000] (for a full-time role).
The specific salary offered considers:

the requirements, scope, complexity and responsibilities of the role,
the applicant's own profile including education/qualifications, expertise, specialization, skills and experience.
In the situation where you do not meet all the requirements or you significantly exceed these, the offered salary may be below or above the advertised range.
In addition to your base salary, you may be eligible for additional rewards and benefits including an attractive performance-based annual bonus.
About Swiss Re Corporate Solutions
Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer.
We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.
Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group.
We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide.
We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.
Swiss Re Corporate Solutions embraces a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.
In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
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Reference Code:
131930
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