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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** GROUPE ALMA - **Location:** Paris, France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Computing Platforms, Automation of Tests, BigQuery, Cloud Computing, Cloud Database, Continuous Integration, Data Infrastructure, Data Transformation, Data Warehousing, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Release Management, Google Cloud, Kubernetes, Terraform, Looker Analytics - **Published:** June 21, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=be9bc19c0dc3867a ## About the Role Do you have experience in Terraform?, * Strong command of cloud infrastructure, infrastructure-as-code (Terraform), Kubernetes, and Python - you're comfortable owning both the data and the platform layer * Analytical mindset with a strong capacity to challenge the status quo - you don't just build, you question whether we're building the right thing * Fluency in French and English And it will be nice if you also * Have specific experience with GCP and BigQuery at scale * Have worked with dbt for data transformation * Have experience operating in or alongside an SRE or Platform Engineering culture Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. ## Description You will report to Jonathan, Engineering Manager of the SRE team, and work within a broader data community of 3 Central Data Analysts, 2 Product Data Analysts, 6 Business Analysts, and a 5-person AI team., * Build, maintain, and improve our data warehouse, transformation layer, and platform architecture (including the critical link between PostgreSQL and our GCP data lake) to make our stack faster, more reliable, and more resilient. Raise engineering standards across the data stack * Drive CI/CD practices, staging environments, automated testing, infrastructure-as-code (Terraform), access management, and release management - bringing a platform engineering mindset to data. Ensure observability and platform reliability * Lead incident management, data quality monitoring, lineage, and documentation efforts to ensure the platform remains trustworthy and easy to operate for analysts, product teams, and AI practitioners. Shape technical decisions and enable the team * Take ownership of complex architectural decisions (including tooling audits, e.g. Datastream), * Contribute to AI data use cases (BigQuery integrations with tools like Dust, Claude Code, and Nao), * Mentor other data practitioners on engineering best practices, * Share knowledge, document decisions, and contribute to raising engineering standards across the team. You will work with GCP, BigQuery, PostgreSQL, Cloud SQL, Terraform, Kubernetes, Argo Workflow, Airflow, AirByte, dbt, Python, GitHub, CI/CD, Looker, Metabase, * 6+ years of experience as a Data Engineer, ideally in a fast-growing tech environment, with hands-on experience building and maintaining modern data platforms and orchestration workflows, * A pivotal moment for data at Alma - you'll join as the team transitions toward Platform, with a mandate to audit and reshape the stack, not just maintain it. * End-to-end ownership - from architectural decisions on the PostgreSQL-to-GCP pipeline to enabling AI use cases with BigQuery, this is a high-autonomy, high-visibility role. * Cross-functional leverage - your work will directly improve the productivity of a 20+ person data community and fuel better decisions across the entire company., * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Take-home assignment followed by a case study presentation with team members to assess your practical knowledge. * Coffee chat with future cross-functional collaborators to assess team fit. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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