Senior Data Engineer

Crossell; Comunidad Valenciana; Presencial; EUR 59.000 - 99.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Senior Data Engineer to join their Data Office team. This role involves optimizing data pipelines and delivering analytical solutions that leverage a single source of truth. The ideal candidate will possess strong data analytical skills, a passion for engineering, and a proven track record in data operations. You will engage in sophisticated data analysis, define data models, and mentor team members while driving innovation. Join a dynamic environment that values collaboration and creativity, where your contributions will significantly impact data-driven decision-making across the organization.

Servicios

Performance-based variable compensation

Global and location-specific benefits

Flexible working environment

Formación

• Strong foundation in data engineering and analytics with passion for data-driven solutions.
• Experience in building and optimizing data pipelines in a big data environment.

Responsabilidades

• Collaborate with stakeholders to understand data needs and inform data-led decisions.
• Deliver optimal data pipeline architecture to assemble complex data sets.

Conocimientos

Data Analysis

Data Engineering

Project Management

Communication Skills

Statistical Modelling

Machine Learning

Educación

University Degree in Computer Science

Degree in Data Science or Statistics

Herramientas

Spark

Python

SQL

Databricks

Azure

Snowflake

MongoDB

Postgres

Descripción del empleo

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

1. 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.
2. Deliver and maintain optimal data pipeline architecture to assemble large, complex data sets that meet functional / non-functional business requirements.
3. Perform complex end-to-end data analysis to define the target solution design for Analytical Products and our Single Version of Truth (SVoT).
4. Collaborate with other members of the Data Office, including data architects, data analysts, data engineers, analytics engineers and data scientists.
5. 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.

1. Previous project management or leadership experience in delivering data-related solutions, including leading teams and driving projects to successful completion.
2. 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.
3. Good commercial acumen, with a desire to understand detailed requirements and facilitate the process of analyzing solution options and comfortable with making strategic decisions.
4. Re-) Insurance industry experience is a plus, especially in Underwriting or Actuarial domains.
5. Experience building data-related solutions and applications, including the design, development, deployment and change management practices (Agile code management, sprints, continuous integration).
6. Excellent command of English is a must. Other languages like Spanish or German are beneficial.

Technical skills

1. A university degree in computer science, data science, statistics, physics, or a related field, with a strong foundation in data engineering and analytics.
2. Current experience (+3yrs) building and optimizing data pipelines in Spark ‘big data’ environment.
3. Strong skills in programming languages for data manipulation and pipeline development :

Python, Pyspark and SQL. Essential.

1. Java, Scala or Typescript. Beneficial.
2. Advanced data analysis abilities with proven experience in :

Relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

1. NoSQL databases, including MongoDB and Postgres.
2. Hands-on experience managing pipelines and data quality in Cloud Platform technologies : Databricks, Azure, Snowflake, Palantir Foundry.
3. Experience in data modelling and the various methodologies (3nF, etc.).
4. Experience using a data modelling tool, Power Designer, Erwin etc. (Beneficial).
5. 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, as well as 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.

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.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace 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.