FBS Data Engineer (SnowFlake)

Capgemini; Deutschland; Hybrid; EUR 80.000 - 110.000; Vollzeit

Benefits dieser Stelle

Private Health Insurance

Paid Time Off

Training & Development opportunities

Flexible work arrangements (remote/ons

Comprehensive benefits package

Zusammenfassung

Capgemini, acting as Employer of Record for FBS, seeks a Data Engineer to design, set up, and monitor the data ecosystem to support enterprise modeling needs.

You will implement, optimize and maintain data pipelines using Python/SQL, and work with DBT, Snowflake, and other platforms while ensuring data governance and collaboration with analysts.

Qualifikationen

• 4+ years experience with Python and SQL.
• Data transformation and governance knowledge.
• Pipeline design and development using modern ETL tools.
• Collaborates with analysts and stakeholders; strong technical communication.

Aufgaben

• Design and develop scalable data pipelines.
• Build data warehouses with Snowflake/Redshift/BigQuery.
• Model data with star/snowflake schemas.
• Collaborate with analysts and business units.

Kenntnisse

Python

SQL

Data Transformation

Data Quality Assurance

Pipeline Design

DBT

Snowflake

Data Governance

Technical Communication

Tools

Snowflake

Redshift

BigQuery

DBT

Jobbeschreibung

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. By combining international reach with US expertise, we build diverse and high-performing teams that are equipped to thrive in today’s competitive marketplace.

We believe that the foundation of every successful business lies in having the right people with the right skills. That is where we come in—helping Farmers build a winning team that delivers consistent and sustainable results.

Since we don’t have a local legal entity, we’ve partnered with Capgemini, which acts as the Employer of Record. Capgemini is responsible for managing local payroll and benefits.

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

The Direct modeling team is focused on creating models to guide enterprise marketing decision that will help to promote brand awareness as well as boost sales through direct channel. This role will help the team to design, set up, and monitor the data ecosystem that’s needed to support the modeling needs. Tasks include, but not limited to, setting up data pipelines and design efficient data storage solutions.

Responsibilities.

Data infrastructure development:

• Pipeline Design and Development; Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), or similar.
• Automates data ingestion processes from various sources including databases, APIs, and third party services.
• Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery.
• Optimizes storage solutions for performance, cost efficiency, and scalability.

Data modeling and transformation:

• Data Modeling - Develops and maintains logical and physical data models to support business analytics.
• Creates and manages dimensional models, star/snowflake schemas, and other data structures.
• Data Transformation - Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages.
• Implements data transformation workflows to handle data cleansing, normalization, and enrichment.
• Data Quality Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data. Implements data quality monitoring and alerting mechanisms.

Collaboration and stakeholder management:

• Cross-Functional Collaboration - Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs.
• Acts as a liaison between technical teams and business units to translate business requirements into technical specifications.

Data governance and security knowledge:

• Governance Policies Implements and enforces data governance policies to ensure data privacy, security, and compliance with relevant regulations.
• Defines and manages data access, controls, permissions, and audit trails.
• Security Measures - Monitors and enforces data security measures to protect sensitive information from unauthorized access and breaches.
• Ensures compliance with industry standards and regulations such as GDPR, CCPA, or HIPAA and others as applicable.

• 4+ years working with Python and SQL
• Data Transformation
• Data Quality Assurance
• Pipeline Design and Development
• Technical Communication
• Experience working with DBT and SnowFlake
• Experience working with Data Governance

Nice to Have

• Experience working with Databricks

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.