Data Engineer

hace 3 semanas

Cartagena Campo de Cartagena y Mar Menor Spain Zurich 56 Company Ltd A tiempo completo

We are seeking a dynamic and experienced Data Engineer with a proactive attitude and willingness to learn to join our DBI organization within Group Finance Value Stream.

Working on an Agile methodology, your day-to-day will involve various exciting challenges across a broad range of technologies. You should be capable of creating new Proof of Concepts (POC). Additionally, you will work on a CI / CD approach utilizing blueprints and reusable standard assets available at the company level.

You will implement solutions supporting the achievement of Sustainability Goals as per the Corporate Sustainability Reporting Directive (CSRD) within the Group Finance Value Stream.

Your role

As a Data Engineer, your main responsibilities will include:

  1. Analyzing data models and deriving logical conclusions.
  2. Hands-on development and monitoring of the Azure cloud platform and associated components for data ingestion, transformation, and processing.
  3. Diagnosing, isolating, and resolving complex data infrastructure problems, including performance tuning and optimization.
  4. Designing and writing programs according to functional and non-functional requirements.
  5. Developing and maintaining technical documentation.
Your Skills and Experience

Ideal skills and experience include:

  1. University-level education or equivalent.
  2. 5+ years of experience as a Data Engineer.
  3. Proficiency in writing complex SQL queries.
  4. Understanding of distributed computation.
  5. Experience with Azure Cloud and Databricks.
  6. At least 2 years of Python experience.
  7. At least 1 year of Pyspark experience.
  8. Over 1 year of experience as a Software Engineer.
  9. Experience with DBT for at least 1 year.
  10. Knowledge of Python libraries like pandas or numpy.
  11. Experience with machine learning frameworks such as scikit-learn, pytorch, keras, or similar.

Nice to have:

  • Knowledge of design patterns.
  • Experience with containerization (Docker, Kubernetes).
  • Experience with Python Poetry framework.
  • Data exploration experience using notebooks (Databricks notebooks).
  • Experience with experiment tracking and model registry (MLflow).
  • Understanding of deploying, operationalizing, and monitoring ML models.
  • Experience with prompt engineering.
  • Automation of tasks using bash and python scripting.
Benefits
  • Option to work abroad up to 25 days yearly.
  • Over 300 euros for home office setup and additional monthly allowance.
  • Wide range of training opportunities, including free language classes.
  • Meal vouchers or equivalent benefits.
  • Insurance coverage: life, accident, health.
  • Retirement plan.
  • Referral bonus of 2000 euros.
  • Exclusive employee discounts and banking conditions.
  • Benefits supporting diversity.
  • Company events and activities.
  • Casual dress code with hybrid work model.

Please apply with your CV in English.

Who we are

Looking for a challenging work environment where you can make a difference? Zurich's global team of 53,000 employees supports individuals and businesses worldwide, helping them manage risks confidently. Join us to help protect what matters most and reach your full potential with our support.

Diversity & Inclusion

We are an equal opportunity employer, valuing diversity and inclusion across all aspects of employment.

Join us

Be challenged, be inspired, and help us make a difference. We encourage internal mobility and career development within Zurich.

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