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Senior Analytics Engineer

CoverWallet, an Aon company

Madrid

Presencial

EUR 60.000 - 80.000

Jornada completa

Hace 27 días

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Descripción de la vacante

Join a leading InsurTech company as a Senior Analytics Engineer, where you will lead the design and development of analytical platforms. Collaborate with cross-functional teams, mentor others, and drive impactful data initiatives in a flexible work environment.

Servicios

Life Insurance
Medical Cover
Free Dental Care
Flexible Compensation Options
Yearly Training Budget

Formación

  • 7+ years of experience in data-focused roles.
  • Expert-level SQL skills and strong data modeling knowledge.

Responsabilidades

  • Lead design and development of analytical platforms.
  • Collaborate with teams to improve data platform.

Conocimientos

SQL
Communication
Agile
Data Modeling

Educación

Computer Science
Statistics
Mathematics
Engineering

Herramientas

dbt
Python
Git
Looker

Descripción del empleo

At CoverWallet, we are determined to revolutionize the insurance industry! Launched in 2015, we are the leading digital platform for contracting insurance for small and medium-sized companies. Thanks to state-of-the-art technology and meticulous design, we have transformed insurance management and processing into a simple, fast, and convenient online process, completed in minutes.

Our passion lies in delivering innovation and value through technology. Our mission is to become the world’s leading InsurTech. We have built an incredible team of approximately 800 people based in New York, Spain, Poland, and Singapore. As part of Aon, a global leader in risk, retirement, and health solutions with 50,000 colleagues worldwide, we combine the dynamic culture of a high-growth startup with the backing of a multinational corporation. The best of both worlds in one company—what more could we ask for?

What you will do

We are looking for a Senior Analytics Engineer to lead the design and development of robust analytical platforms supporting data-driven initiatives across the company. You will work closely with Data Analysts, Data Scientists, and Data Engineers to establish strong data foundations and drive best-in-class analytics solutions. You will contribute strategically, mentor team members, and bring experience in implementing and scaling modern data workflows. Projects you might lead or shape include:

  • Expanding and evolving our dbt data models to accelerate the Analytics Team's work by creating scalable, well-documented data transformations and core data assets.
  • Designing and overseeing a data quality validation framework to ensure reliable insights for business stakeholders.
  • Partnering with the Data Engineering team to guide the evolution of our ETL/ELT pipelines and architecture.
A typical day
  • Collaborate with Analytics and Data Engineering teams to identify strategic opportunities for improving our data platform and deliver scalable, reliable data foundations.
  • Lead the design and development of efficient core data models that unify key data assets and enable self-serve analytics.
  • Contribute to the evolution of our modern data stack by evaluating and integrating new tools and frameworks as needed.
  • Work cross-functionally with stakeholders from Product, Marketing, Operations, and Finance to define and document trusted, company-wide data assets.
  • Mentor other analytics engineers and foster a culture of technical excellence and continuous improvement.
What you need to succeed
  • 7+ years of experience in data-focused roles with a proven track record of driving product and operational impact through analytics.
  • Strong background in Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Expert-level SQL skills and strong knowledge of data modeling best practices.
  • Experience applying software engineering principles (modularity, testing, CI/CD) in analytics workflows.
  • Experience working in Agile teams with tools such as Jira or Asana.
  • Excellent communication skills and the ability to influence both technical and non-technical audiences.
  • Deep curiosity and knowledge of the modern data stack and industry trends.
  • Fluent in English, both written and spoken.
Nice to have
  • Extensive experience with dbt in production environments.
  • Proficiency in Python and version control systems like Git.
  • Familiarity with Jinja templating and macros.
  • Experience with BI tools like Looker or similar.
  • Experience working with cloud data warehouses such as Redshift or Snowflake.
Why CoverWallet

At CoverWallet, you will have the opportunity to be a key player in transforming one of the largest industries and one of the most developed digital markets worldwide. You will work in a cutting-edge tech environment alongside a diverse, global team. Join us and build your career in one of the world's leading companies, tailored to your dreams and aspirations. And just for good measure...

  • Competitive salary based on your background and experience, plus an annual variable bonus aligned with your goals.
  • Enjoy flexible working hours and discover your ideal work style with our smart work model: full remote or hybrid—your choice!
  • Perks include company-paid Life, Accident Insurance, Medical Cover, and free dental care. Additional benefits include flexible compensation options such as meal tickets, transport cards, daycare checks, external training, and even a pension scheme.
  • Continue your professional growth with a yearly training budget of €1,500 for courses, certifications, books, or other educational resources.

Location: Senior Engineer • Madrid, Community of Madrid, Spain

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