{"id":2545525,"url":"https://alion.io/job/pigment-junior-data-automation-engineer","title":"Junior Data & Automation Engineer","company":{"id":1039,"name":"Pigment","domain":"pigment.com","url":"https://alion.io/company/pigment","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":131,"ghost_share":0.244,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":116,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":105000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"BigQuery","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Slack","optional":true}],"status":"live","first_seen_at":"2025-07-28T12:47:41Z","employer_posted_date":"2025-07-28","last_verified_at":"2026-10-15T18:57:58Z","board_verified":true,"closed_at":null,"days_open":444,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":443},"description":"The Data & Automations Team\nThe 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.\nThe 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.\nOur 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.\nThe 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.\nRole\nAs 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.\nYou 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.\nTech environment\nOur 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.\nYou will have the opportunity to learn and grow your skills across these technologies while making a meaningful impact on Pigment's operational efficiency.\nKey Responsibilities\nUnder the supervision of the Data & Automations team's more senior members, you will participate in addressing the following topics.\nData Platform & Infrastructure:\nDevelop and maintain ingestion pipelines from APIs, databases, and SaaS tools, using Fivetran, Airflow, and Python\nBuild and maintain dbt models that turn raw data into clean, documented, and tested datasets\nContribute to the evolution of our orchestration, CI/CD, and infrastructure-as-code setup\nHelp improve data quality, observability, and alerting across the platform\nG&A and GTM Data Pipelines & Automations:\nBuild pipelines and integrations that sync data between business systems (CRM, ERP, HRIS) through our data warehouse, including reverse ETL with Hightouch\nDevelop Python-based automations that remove manual work for teams such as Finance, People, IT, and Customer Success\nPrepare reliable datasets for reporting and for the Pigment applications used by business teams\nAI Projects:\nContribute to AI-powered solutions, such as LLM pipelines that extract, classify, and enrich unstructured data (call transcripts, messages, tickets)\nBuild the data foundations these projects rely on: AI-ready datasets, usage and observability data, evaluation data\nApply data architecture principles that make our data reliable, well-documented, and safely accessible for AI use cases (context, retrieval, access scoping)\nMonitoring & Support:\nMonitor pipelines and automations, troubleshoot incidents, and fix root causes\nDocument data models, pipelines, and processes for both technical and business readers\nCollaboration & Learning:\nWork with stakeholders - as diverse as Finance, People, Sales, and Product - to understand requirements and translate them into data solutions\nParticipate in code reviews and knowledge sharing sessions\nContinuously expand your knowledge of data engineering, automation, and AI best practices\n\nWhat you'll do\nUnder the supervision of the Business Automation team’s more senior members, you will participate in addressing the following topics.\nAutomation Development:\nDevelop and maintain Python-based automations and solutions to streamline enterprise processes\nImplement integrations between various systems and applications using APIs and other connection methods\nAssist in maintaining CI/CD pipelines for automation projects\nData Integration & Transformation:\nSupport the implementation of data pipelines that integrate data from various sources, including APIs, external databases, and third-party services\nAssist in transforming raw data into clean and ready-to-use models using SQL and dbt\nCollaborate on data quality monitoring and improvement initiatives\nMonitoring and Support:\nHelp implement monitoring for automation workflows and data pipelines\nTroubleshoot and resolve issues with existing automation solutions\nAssist in documentation of systems, processes, and workflows\nCollaboration & Learning:\nWork collaboratively with team members and stakeholders - as diverse as HR, Sales and Product Engineering - to understand requirements and implement effective solutions\nContinuously expand knowledge of data engineering and automation best practices\nParticipate in code reviews and knowledge sharing sessions\nWho you are\nTechnical skills\nThe 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.\n\nUp to 3 years of relevant experience in data engineering, including apprenticeships, internships, and/or demonstrable personal projects\nStrong SQL skills and understanding of data modeling concepts (e.g. layered or dimensional models)\nSolid coding skills in Python\nUnderstanding of ELT/ETL patterns, pipeline design, and data quality testing\nKnowledge of version control systems (Git) and CI/CD concepts\nPractical experience with a public cloud provider and a cloud data warehouse\nAttention to detail and analytical problem-solving skills, with the ability to identify edge cases\nGood understanding of AI and LLM principles, along with practical use of AI tools in your work\nExcellent communication skills in both French and English, written and verbal\nSoft skills\nProblem-solving mindset with critical thinking about business processes\nStrong communication abilities - translating technical concepts to non-technical audiences and active listening skills for accurately capturing business requirements\nA natural curiosity, eagerness to learn, and comfort asking questions early rather than staying blocked are an absolute must\nBonus points: Basic project management capabilities - tracking tasks, managing timelines, and reporting progress\nNice to have\nHands-on experience with dbt, Airflow, or Terraform\nExposure to ingestion and reverse ETL tools\nHands-on experience building LLM-powered pipelines or applications\nWhat we offer\nCompetitive package\nStock options to ensure you have a stake in Pigment's growth\nThe best health insurance with Alan Blue entirely free for you and your family \nWeekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility\nSubscription to Egym Wellpass (ex-Gymlib) for full access to gyms, studios, and wellness spaces across France\nTrust and flexible working hours\nAlong 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\nHigh-end equipment (based on stock/availability) to do your work in the best conditions\nRemote-friendly environment","description_format":"text","description_chars":8822,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Health insurance","Stock options"],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["ERP & Business Management Software","Revenue & SaaS Metrics Analytics"],"lifecycle":[{"event":"open","at":"2026-10-14T16:38:02Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.269,"p_room":0.28,"age_days":443,"expected_fill_days":116,"reasons":["conf:2","velocity","ghost","win:tail","crowd:junior,brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/pigment-junior-data-automation-engineer","json_url":"https://alion.io/job/pigment-junior-data-automation-engineer.json","meta":{"generated_at":"2026-10-15T19:20:08Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":29189,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1039},"rest":"https://alion.io/mcp/rest/get_company?id=1039"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpigment-junior-data-automation-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpigment-junior-data-automation-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpigment-junior-data-automation-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pigment-junior-data-automation-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpigment-junior-data-automation-engineer"}]}