DevOps Engineer

Project overview

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Advise, standardize Data Cloud usage, and deploy Snowflake architecture for a major client.

As part of structuring and accelerating Data Cloud usage within the IT department, we are looking for a certified Data Engineer & Snowflake Expert. Your role will be strategic, technical, and normative: you will provide expert advice to define and disseminate best practices for standardizing data usage, while designing, automating, and industrializing data pipelines and the group's Snowflake foundation.

Your Future Environment

You will work at the heart of the Data & Analytics unit, in close collaboration with Data Architects, DevOps/DataOps engineers, governance teams, and business Data Engineers. In a modern Cloud environment focused on performance and cost optimization, you will be the key point of contact for the Snowflake ecosystem. You will work on a hybrid schedule (3 days per week at the client site), with planned on-call duties (HNO) to ensure the continuity of critical data flows.

Your Key Missions

Data Consulting, Standardization & Governance (CONSULTING & ARCHITECTURE Mode):

Data Engineering, DataOps & Industrialization (BUILD & IMPLEMENTATION Mode):

• Advise and support IT and business teams in standardizing data usage around Snowflake (naming conventions, modeling best practices, RBAC security rules).
• Define access governance, role management, sensitive data masking policy, and the organization of databases/schemas/Virtual Warehouses.
• Establish and manage performance and cost optimization initiatives (Snowflake FinOps: fine-grained credit consumption management, auto-suspend, auto-resume, clustering keys).
• Write best practice guides, technical architecture documentation, and lead data acculturation workshops for the teams.
• Design, develop, and industrialize efficient and scalable data pipelines (using dbt, Airflow, Python, SQL).
• Implement advanced Snowflake features (Snowpipe, Streams & Tasks, Time Travel, Data Sharing, Zero-Copy Clone).
• Automate the deployment and management of Snowflake infrastructure according to DataOps / CI/CD principles (using Terraform or dedicated IaC tools).
• Ensure the Maintenance in Operational Conditions (MCO) of the platform and intervene during planned on-call duties (HNO) to secure production.

Requirements

Your Assets

Our Benefits

5 Reasons to Join Us

Our Selection Process

Ready to join a team of committed experts? Don't hesitate, join the Storm Team!

Storm Group encourages an inclusive and multicultural culture where diversity of profiles fuels our collective intelligence. By joining the Storm Team, you become part of a committed ecosystem that places the development of your talents at the heart of its strategy, while actively contributing to solidarity and reducing environmental impact, both within our offices and in the large-scale projects we undertake for our clients.

Work Environment

Storm Group is a consulting firm specializing in the transformation of Information Systems and Organizations. We support our clients across the entire IT value chain, from expert sourcing to strategic consulting and software engineering.

Our clientele primarily consists of major players in banking, insurance, and finance, for whom we mobilize rigorously selected consultants for their most strategic projects.

• Education: Engineering degree or Master's degree (Bac+5) in Computer Science, Software Engineering, Big Data, or Data Science.
• Experience: You have 5 to 8 years of confirmed experience in Data Engineering, including at least 3 years of dedicated expertise in the Snowflake Cloud data warehouse within a major account environment.
• Imperative Technical Expertise & Certifications:
• Snowflake Certification (SnowPro Core / SnowPro Advanced Data Engineer) highly desired / ideal.
• In-depth mastery of Snowflake architecture (Virtual Warehouses, Micro-partitioning, RBAC, Data Sharing, Snowpipe, Streams & Tasks).
• Solid skills in data modeling (Star Schema, Snowflake Schema, Data Vault 2.0) and complex SQL querying.
• Hands-on experience with data orchestration and transformation tools: dbt, Apache Airflow, Python.
• Knowledge of DataOps approaches, CI/CD pipelines (GitLab CI, GitHub Actions), and ideally Infrastructure as Code (Terraform).
• Behavioral Skills:
• Excellent consulting, communication, and teaching skills to support the transformation of usage.
• Synthetic thinking, engineering rigor, and ability to formalize clear standards.
• Strong Sense of Consulting and Support: Ability to get technical and business teams to adopt new data architecture standards.
• FinOps & Performance Culture: Constant reflex to optimize SQL query execution and Virtual Warehouse allocation to control credit consumption.
• Rigor and Pedagogy: Ease in leading internal training and transmitting Snowflake best practices.
• Public transport pass reimbursement up to 75%.
• Meal vouchers subsidized by STORM GROUP at 50% (€10.5 / day).
• Access to Gymlib / Wellpass (sports and well-being).
• Health / Provident Fund insurance plan with Alan.
• Continuous training: Access to Udemy Business and support for obtaining reference certifications (Snowflake SnowPro Core / Advanced, dbt Certified Developer, Terraform).
• Co-optation bonus, profit-sharing, and participation bonus.
• Work rhythm: 3 days per week on client site (hybrid mode) with on-call duties (HNO).
• Tailored Career Path: Co-create a unique professional trajectory adapted to your ambitions.
• Strategic Missions: Work on large-scale projects, perfectly aligned with your expertise.
• Dedicated Support: Benefit from structured annual reviews to ensure your continuous progress.
• Continuous Excellence: Develop your skills daily within a demanding ecosystem.
• Sustainable Performance: Thrive in an environment where business demands respect your work-life balance.
• Introductory call with a recruiter.
• Technical interview with in-depth technical assessment (Snowflake architecture and governance case study, FinOps optimization on complex queries/warehouses, dbt/Snowpipe pipeline design, and change management discussion).
• Final meeting to validate fit and project outlook.

Project details

• Start: ASAP
• Duration: -2 mois
• Remote: hybrid
• Location: 75002, Paris, Île-de-France, FR
• Languages: French