FBS Analytics Engineer

Posted 7 Days Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Information Technology
The Role
Design and build scalable ELT data pipelines, create DBT models and semantic data models, implement data warehousing (e.g., Snowflake), transform and clean data using SQL/Python, and collaborate with analysts and stakeholders to translate requirements into analytics-ready datasets.
Summary Generated by Built In

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

Work with stakeholders to gather requirements and construct gold/semantic level data models from mart and staging layers. Building data pipelines, provide SME to team members on semantic layer, construct DBT models from scratch for automation

Responsibilities

  • Pipeline Design and Development;  Architects and builds scalable data pipelines using modern ELT (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
  • Optimizes storage solutions for performance, cost efficiency, and scalability. 
  • 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.
  • 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.
  • 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.

Requirements
  • 5+ years of experience working in Analytics Engineer or relevant
  • Experience working with SQL and Python
  • Advanced knowledge of PowerBI (Power Query and DAX)
  • 4+ years of experience with pipeline automation tools (Fivetran would be a plus)
  • Strong knowledge of DBT or other ELT frameworks/tools (Apache AirFlow).
  • Strong English communication skills

Nice to Have

  • Experience working with Microsoft Fabric
  • Experience in Insurance or Financial Services

Benefits

This position comes with competitive compensation and benefits package:

    1. Competitive salary and performance-based bonuses
    2. Comprehensive benefits package
    3. Career development and training opportunities
    4. Dynamic and inclusive work culture within a globally renowned group
    5. Private Health and Dental Insurance
    6. Pension Plan
    7. Meals tickets
    8. Life Insurance

Skills Required

  • 5+ years of experience working in Analytics Engineer or relevant
  • Experience working with SQL
  • Experience working with Python
  • Advanced knowledge of Power BI (Power Query and DAX)
  • 4+ years of experience with pipeline automation tools
  • Fivetran (would be a plus)
  • Strong knowledge of DBT or other ELT frameworks/tools (e.g., Apache Airflow)
  • Strong English communication skills
  • Experience working with Microsoft Fabric
  • Experience in Insurance or Financial Services

Capgemini Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Capgemini and has not been reviewed or approved by Capgemini.

  • Healthcare Strength Health coverage is positioned as comprehensive, spanning medical, dental, and vision alongside life and AD&D options. Additional wellbeing supports like employee assistance programs, gym discounts, and pet insurance broaden the value beyond core insurance.
  • Parental & Family Support Family-related benefits include maternity/paternity leave and broader family-forming support such as fertility and surrogacy assistance in some locations. Inclusive caregiving supports like back-up child and elder care and out-of-state medical travel are also highlighted.
  • Equity Value & Accessibility Equity participation is available through recurring employee share ownership or purchase programs, creating a longer-term wealth-building option in addition to salary. Eligibility and local access can vary, so confirming participation windows and requirements is important.

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The Company
HQ: Issy-les-Moulineaux
340,000 Employees
Year Founded: 1967

What We Do

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

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