Senior Data Engineer

About the team

It is Swiss Re's ambition to become the leading data-driven risk knowledge company to help clients mitigate their risks. Swiss Re Corporate Solutions (CorSo) provides a wide range of traditional and non-traditional commercial insurance products and risk transfer solutions through a dedicated, global team of commercial insurance experts.

Our solutions are broad, our expertise is deep. Therefore, information and technology are instrumental in building a respective data corpus and advanced analytics capabilities to enable this ambition. Likewise, Swiss Re's global IT/operating platform is a key enabler to access evolving digital markets and to align existing processes and capabilities with new digital business models and making core business capabilities more flexible and more efficient.

About the role

The Senior Data Engineer will be a key member of the Data Office team, focused on optimizing our 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 a 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 for Senior Analytical Engineer

• 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-ende 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, dataengineers, 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. 

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.

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. 
• Current experience (+3yrs) building and optimizing data pipelines in Spark ‘big data’ environment.
• Strong skills in programming languages for data manipulation and pipeline development:
  • Python, Pyspark and SQL. Essential.
  • Java, Scala or Typescript. Beneficial. 
• 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 MongoDB and Postgres..
• Hands on experience managing pipelines and data quality in Cloud Platform technologies: Databricks, Azure, Snowflake, Palantir Foundry.
• 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.

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, specialisation, skills and experience.​

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, colour, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position.

During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.

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