Junior Data & Automation Engineer H/F Pigment

The Data & Automations Team

The Data & Automations team builds and operates Pigment's internal data platform, and designs, implements, and maintains the intelligent automation solutions that rely on it. Together, they streamline business processes and enhance data-driven decision making: we empower product, business and corporate functions through technology integration, robust data architecture, and process optimization, enabling teams to focus on high-value activities while ensuring accuracy and scalability.

The data platform is the foundation of everything we deliver. It is a centralized, governed ecosystem that collects, stores, transforms, and serves data to internal consumers across Product, Go-To-Market (GTM), and General & Administrative (G&A) functions, providing a single source of truth for analytics, automations, and AI. Making it reliable, secure, cost-efficient, and scalable is at the core of our mission. The team also consolidates and orchestrates AI efforts across Pigment, from governance and enablement to building AI-powered solutions.

Our team tackles diverse challenges, from integrating finance and HR systems and streamlining employee lifecycle processes, to building pipelines that turn product usage and customer interactions into actionable insights for Finance or GTM teams. AI is now at the center of most of what we do with data: many of our pipelines feed LLM-powered solutions, and the quality, structure, and governance of our data architecture directly determine what these solutions can deliver.

The team is led by Pigment's Deputy CISO and works closely with the Security team: security and data governance are part of how we build, not an afterthought.

Role

As a Junior Data and Automations Engineer, you will contribute to the continued development of Pigment's data platform: ingestion pipelines, dbt models, orchestration, data quality, and the underlying cloud infrastructure. You will also build and maintain the data pipelines, automations, and AI projects that support our G&A (Finance, People, IT) and GTM (Sales, Customer Success, Partnerships) teams.

You will work closely with senior engineers, starting with well-scoped tasks and progressively taking ownership of small projects end to end, from requirements gathering to production monitoring. This role involves collaborating with a wide range of internal stakeholders and requires excellent communication skills in English (primarily) and French, verbal and written.

Tech environment

Our core stack relies on Google Cloud Platform, maintained with Terraform, with components including BigQuery, Cloud Run, and Cloud Composer (Airflow), as well as dbt, Fivetran, Hightouch, Elementary for data observability, and Python for integrations and automations. Our pipelines connect business systems such as Salesforce, NetSuite, our HRIS, Gong, or Slack, and feed Pigment applications used by our own business teams. We also build LLM-powered pipelines and use AI tools in our daily engineering work.

You will have the opportunity to learn and grow your skills across these technologies while making a meaningful impact on Pigment's operational efficiency.

Key Responsibilities

Under the supervision of the Data & Automations team's more senior members, you will participate in addressing the following topics.

Data Platform & Infrastructure:

• Develop and maintain ingestion pipelines from APIs, databases, and SaaS tools, using Fivetran, Airflow, and Python
• Build and maintain dbt models that turn raw data into clean, documented, and tested datasets
• Contribute to the evolution of our orchestration, CI/CD, and infrastructure-as-code setup
• Help improve data quality, observability, and alerting across the platform

G&A and GTM Data Pipelines & Automations:

• Build pipelines and integrations that sync data between business systems (CRM, ERP, HRIS) through our data warehouse, including reverse ETL with Hightouch
• Develop Python-based automations that remove manual work for teams such as Finance, People, IT, and Customer Success
• Prepare reliable datasets for reporting and for the Pigment applications used by business teams

AI Projects:

• Contribute to AI-powered solutions, such as LLM pipelines that extract, classify, and enrich unstructured data (call transcripts, messages, tickets)
• Build the data foundations these projects rely on: AI-ready datasets, usage and observability data, evaluation data
• Apply data architecture principles that make our data reliable, well-documented, and safely accessible for AI use cases (context, retrieval, access scoping)

Monitoring & Support:

• Monitor pipelines and automations, troubleshoot incidents, and fix root causes
• Document data models, pipelines, and processes for both technical and business readers

Collaboration & Learning:

• Work with stakeholders - as diverse as Finance, People, Sales, and Product - to understand requirements and translate them into data solutions
• Participate in code reviews and knowledge sharing sessions
• Continuously expand your knowledge of data engineering, automation, and AI best practices

What you'll do

• Under the supervision of the Business Automation team's more senior members, you will participate in addressing the following topics.

Automation Development:

• Develop and maintain Python-based automations and solutions to streamline enterprise processes
• Implement integrations between various systems and applications using APIs and other connection methods
• Assist in maintaining CI/CD pipelines for automation projects

Data Integration & Transformation:

• Support the implementation of data pipelines that integrate data from various sources, including APIs, external databases, and third-party services
• Assist in transforming raw data into clean and ready-to-use models using SQL and dbt
• Collaborate on data quality monitoring and improvement initiatives

Monitoring and Support:

• Help implement monitoring for automation workflows and data pipelines
• Troubleshoot and resolve issues with existing automation solutions
• Assist in documentation of systems, processes, and workflows

Collaboration & Learning:

• Work collaboratively with team members and stakeholders - as diverse as HR, Sales and Product Engineering - to understand requirements and implement effective solutions
• Continuously expand knowledge of data engineering and automation best practices
• Participate in code reviews and knowledge sharing sessions

Who you are

• Technical skills

  The ideal candidate will possess most or all of the following qualifications. Hands-on experience through personal projects (share your GitHub account!), particularly contributions to open source initiatives, will be valued equally to professional and academic experience for this role.

  • Up to 3 years of relevant experience in data engineering, including apprenticeships, internships, and/or demonstrable personal projects
  • Strong SQL skills and understanding of data modeling concepts (e.g. layered or dimensional models)
  • Solid coding skills in Python
  • Understanding of ELT/ETL patterns, pipeline design, and data quality testing
  • Knowledge of version control systems (Git) and CI/CD concepts
  • Practical experience with a public cloud provider and a cloud data warehouse
  • Attention to detail and analytical problem-solving skills, with the ability to identify edge cases
  • Good understanding of AI and LLM principles, along with practical use of AI tools in your work
  • Excellent communication skills in both French and English, written and verbal

  Soft skills

  • Problem-solving mindset with critical thinking about business processes
  • Strong communication abilities - translating technical concepts to non-technical audiences and active listening skills for accurately capturing business requirements
  • A natural curiosity, eagerness to learn, and comfort asking questions early rather than staying blocked are an absolute must
  • Bonus points: Basic project management capabilities - tracking tasks, managing timelines, and reporting progress

  Nice to have

  • Hands-on experience with dbt, Airflow, or Terraform
  • Exposure to ingestion and reverse ETL tools
  • Hands-on experience building LLM-powered pipelines or applications

What we offer

• Competitive package
• Stock options to ensure you have a stake in Pigment's growth
• The best health insurance with Alan Blue entirely free for you and your family
• Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility
• Subscription to Egym Wellpass (ex-Gymlib) for full access to gyms, studios, and wellness spaces across France
• Trust and flexible working hours
• Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London
• High-end equipment (based on stock/availability) to do your work in the best conditions
• Remote-friendly environment

We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially.Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace.All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our .We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.