Dataworks

Company Name: Dataworks
Job Title: DevOps Engineer - Databases
Job Description: Job Title: DevOps Engineer – Databases Role Summary: Senior individual contributor responsible for the design, deployment, operation, and automation of large‑scale data storage systems (PostgreSQL, MongoDB, ClickHouse, etc.) in a high‑traffic B2B SaaS environment, ensuring reliability, scalability, and performance. Expactations: Own critical data platforms, drive automation with Terraform and Ansible, handle production incidents, and collaborate closely with product and engineering teams on architecture decisions while documenting best practices. Key Responsibilities: - Design, deploy, and maintain large‑scale database and storage systems (PostgreSQL, MongoDB, ClickHouse). - Automate infrastructure lifecycle management using Terraform and Ansible. - Perform performance tuning, monitoring, capacity planning and implement backup, disaster recovery, and high‑availability strategies. - Diagnose, resolve, and root‑cause production incidents affecting data platforms. - Improve CI/CD and deployment pipelines for infrastructure. - Document systems and contribute to platform best practices. - Collaborate with product and engineering teams on architecture and design decisions. Required Skills: - 4+ years operating production databases/storage systems. - Deep expertise in PostgreSQL, MongoDB, ClickHouse (or equivalent) and proficiency with SQL/NoSQL. - Strong Linux fundamentals and shell scripting. - Experience with infrastructure-as-code tools (Terraform, Ansible). - Knowledge of backup, recovery, resilience, and high‑availability. - Excellent troubleshooting, debugging, and incident‑response abilities. - Pragmatic, self‑driven, high ownership mindset. - Clear written and verbal communication. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (preferred). - Certifications in Terraform, Ansible, or cloud platforms (AWS, GCP, Azure) are a plus.

France

Remote

22-01-2026

Company Name: Dataworks
Job Title: Manager Data Science & AI - Consulting
Job Description: **Job Title:** Manager Data Science & AI – Consulting **Role Summary:** Lead and manage end‑to‑end data science and AI projects for a consulting firm, acting as a technical & strategic advisor. Combine deep data expertise with consultative client engagement to shape proposals, structure solutions, drive delivery, and develop internal consulting capabilities. **Expectations:** - Blend of technical proficiency and client‑facing consulting skills. - Maintain strong data science credibility while assuming a strategic role in client interactions. - Deliver on time, on budget, and at high quality for high‑impact, multi‑sector for‑fee engagements. **Key Responsibilities:** 1. Serve as the primary data science/AI subject‑matter expert on client projects. 2. Lead the response to RFPs: evaluate needs, scope work, estimate costs, and draft proposals. 3. Manage complex engagements from initiation through delivery, ensuring technical and business objectives are met. 4. Mentor and coach a team of data scientists and AI consultants to advance technical and consultative capabilities. 5. Identify and propose innovation opportunities, new service offerings, and positioning enhancements for the firm. 6. Collaborate with senior client stakeholders to translate business problems into data‑driven solutions. **Required Skills:** - Proficiency in Python and SQL; familiarity with cloud platforms (AWS, Azure, GCP) preferred. - Strong data science and AI background (machine learning, statistical modeling). - Experience in consulting or a similar fee‑based project environment. - Ability to handle pre‑sales activities: scoping, pricing, proposal development. - Excellent communication, presentation, and influence skills; comfortable engaging senior executives. - Self‑starter with a strategic mindset and readiness to drive business development initiatives. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related field. - Professional certifications in data science or cloud technologies are advantageous if available.

Paris, France

Hybrid

Senior

12-02-2026

Company Name: Dataworks
Job Title: Head of Data & Analytics (hands-on)
Job Description: **Job title:** Head of Data & Analytics (Hands‑on) **Role Summary:** Lead and advance the end‑to‑end data and analytics function for a rapidly scaling fintech. Own the modern data stack (AWS, Snowflake, dbt, CI/CD) and drive its reliability, performance, and governance while directly delivering high‑impact analytics and ML use‑cases. Combine technical hands‑on work with tactical team leadership and close collaboration with business stakeholders. **Expectations:** - 8‑10 + years of experience in data engineering, analytics engineering, or business intelligence. - Demonstrated experience leading a small technical team (e.g., tech‑lead, manager). - Ability to stay hands‑on (SQL, dbt, data modeling) while providing strategic direction. - Strong business acumen to translate business needs into data solutions. - Adaptable to a high‑growth, evolving environment and committed to long‑term ownership. **Key Responsibilities:** 1. Manage and mentor a two‑person data team (DBA and Data Engineer), fostering autonomy and prioritization. 2. Maintain and enhance the existing data stack: ensure data quality, performance, and enforce governance. 3. Own the end‑to‑end understanding of complex, multi‑source data with high dimensionality. 4. Design and maintain data lineage and centralize institutional knowledge. 5. Collaborate directly with product and business teams to capture requirements and deliver high‑value use‑cases. 6. Prior‑rank and drive business‑impacting analytics projects (e.g., segmentation, personalization, basic ML models). 7. Contribute hands‑on to key technical work: SQL, dbt modeling, architecture review, code review. **Required Skills:** - Advanced proficiency in Python, SQL, and modern data pipeline tooling. - Experience with AWS ecosystem, Snowflake, dbt, CI/CD pipelines, and automated testing. - Strong data modeling, data architecture, and data‑governance expertise. - Hands‑on experience with analytics/BI tools and basic machine‑learning techniques. - Excellent communication for interacting with both technical and business stakeholders. - Pragmatic, collaborative, and able to operate in a fast‑changing environment. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, Data Science, Business Analytics, or a related field; a Master’s degree is preferred. - Professional certifications (e.g., AWS Certified Data Analytics, Snowflake SnowPro, dbt certification) are advantageous but not mandatory.

Paris, France

Hybrid

16-02-2026

Company Name: Dataworks
Job Title: Strategic Account Executive - DeepTech Scale-Up
Job Description: Job Title: Strategic Account Executive – DeepTech Scale-Up Role Summary: Drive growth for a high‑value AI and quantum computing platform in the French market. Own strategy, pipeline development, and full sales cycle for large enterprises and mid‑market accounts, delivering complex, technology‑driven solutions to C‑level stakeholders. Expectations: - Build and maintain a qualified pipeline that meets or exceeds quarterly revenue targets. - Close multi‑million‑euro deals (€300k+), consistently achieving quota. - Navigate long, multi‑stakeholder sales cycles and act as a trusted advisor. - Collaborate cross‑functionally with engineering, product, and R&D to support solution design and demos. Key Responsibilities: - Define and execute commercial strategy across France, targeting banking, insurance, and related sectors. - Identify, qualify, and close opportunities within large enterprises and mid‑market accounts. - Manage full sales cycles from prospecting to closing and expansion. - Maintain a robust pipeline and report progress against goals. - Engage C‑level stakeholders in innovation, data, IT, and business functions. - Position AI solutions as strategic enablers, addressing ROI, performance, compliance, and cost optimization. - Act as trusted advisor throughout the sales process. - Work closely with Sales Engineering, Product, and R&D for POCs, demos, and solution design. - Contribute to sector‑specific go‑to‑market strategies. - Represent the company at industry events across finance, AI, and innovation. Required Skills: - 5–10 years of experience in complex B2B sales (SaaS, AI, data, cloud, or enterprise software). - Proven record of closing large deals (€300k to multi‑million). - Deep network and experience within banking, insurance, or financial services. - Strong negotiation and deal‑structuring skills. - Ability to sell high‑value, technical solutions without hands‑on implementation experience. - Autonomous, structured, and entrepreneurial mindset. - Fluent in French and English; additional European languages are a plus. Required Education & Certifications: - Bachelor’s degree (or higher) in Business, Engineering, or a related field. - Relevant sales certifications (e.g., CSM, PMP, or equivalent) preferred.

Paris, France

Hybrid

Mid level

18-03-2026

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