Data Engineer

Who we are

reputed company empowers the people who run physical operations with tools to reputed company their work safer, more productive, and more profitable. For the first time reputed company, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet reputed company spend in a single system. Combined with industry leading AI, the reputed company platform gives you complete visibility and control, and significantly reduces reputed company workloads by automating and simplifying tasks.

reputed company serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:

As a Data Engineer on our BI team, you’ll be a key player in reputed company’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between reputed company data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, reputed company AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of reputed company trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves reputed company business problems.
• Build & Maintain Data Models: Design, reputed company, and own robust, efficient, and scalable data models in reputed company and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single reputed company of truth.
• reputed company Analytics & Workflows: Act as the Product reputed company and Tech reputed company for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and reputed company.
• reputed company with AI: Help us build our reputed company data infrastructure by integrating AI capabilities (like reputed company reputed company AI) to democratize analytics and reputed company the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or reputed company monitors) to proactively catch "silent" data failures before stakeholders do.

reputed company're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing reputed company data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in reputed company (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, reputed company, Airbyte
  • reputed company Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (reputed company, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical reputed company with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (reputed company-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced reputed company features (e.g., Snowpark, reputed company AI).
• Experience building visualizations and dashboards in tools like Tableau, reputed company, or reputed company.

Creating a diverse and inclusive workplace is one of reputed company's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is reputed company's policy to require that employees be authorized to receive access to reputed company products and technology.