Capgemini Deutschlandweit vor 1 Tag

FBS Associate Analytics Engineer (Remote)

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Das ist der Job

We believe that the foundation of every successful business lies in having the right people with the right skills.

Darum lohnt es sich

By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results. Capgemini is responsible for managing local payroll and benefits.

Tools: SQL - Entry Level (1-3 Years) • Python - Entry Level (1-3 Years) • dbt - Entry Level (1-3 Years) • Airflow - Entry Level (1-3 Years) • AWS/Azure/GCP - Entry Level (1-3 Years) This position comes with a competitive compensation and benefits package. • A competitive salary and performance-based bonuses. • Comprehensive benefits package. • Flexible work arrangements (remote and/or office-based). • You will also enjoy a dynamic and inclusive work culture within a globally renowned group. • Private Health Insurance. • Paid Time Off. • Training & Development opportunities in partnership with renowned companies.

FBS – Farmer Business Services is part of Farmers operations with the purpose of building a global approach to identifying, recruiting, hiring, and retaining top talent. Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record.

What to expect on your journey with us: • A solid and innovative company with a strong market presence • A dynamic, diverse, and multicultural work environment • Leaders with deep market knowledge and strategic vision • Continuous learning and development • This position plays a role in the data ecosystem by assisting in transforming raw data into structured, high-quality datasets that are ready for analysis. • The role primarily focuses on low to moderately complex business problems while receiving coaching and guidance from data leadership. • The role combines the technical skills of a data engineer, the analytical mindset of a data analyst, and working business acumen to ensure data is not only collected and stored efficiently but also accessible and insightful for end users. • With some coaching and guidance from more experienced engineers, the position is responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to enable data-driven decision-making across the organization. • The position requires understanding of data engineering, business processes, and analytics principles as well as a proactive approach to solving complex data challenges.

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