Skip to content
Data Engineer

The week's list

Every role like this one, in one letter

You are reading one posting. There are hundreds like it on the board, and new ones every week. Pick what you want, leave an email, and the list comes to you — no searching, no coming back here.

Counting what came out this past week…

The first letter arrives right away, then one a week. Unsubscribe in one click from any letter — the address goes nowhere else.

Data Engineer

Staff Engineer - Data Semantics

Datadog

Parislead

Apply on the employer's site

Role description

Data Semantics is Datadog’s authority on semantic knowledge, providing shared infrastructure that powers both Datadog’s product experiences and AI capabilities. As Datadog continues its investment in OpenTelemetry-native observability, semantic interoperability, and AI-powered workflows, this team sits at the center of some of the company’s most strategic platform initiatives. As a Staff Engineer, you will serve as a technical leader for the team, balancing stewardship of critical production systems with the exploration of new platform capabilities that improve how telemetry is modeled, understood, and consumed across Datadog. You will work closely with engineering and product partners to define standards, drive technical direction, and deliver solutions that scale across Datadog’s observability platform.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

  • Lead the technical direction of the Data Semantics team while remaining deeply hands-on in design, implementation, and delivery.
  • Build and scale semantic infrastructure that bridges OpenTelemetry, Datadog-native telemetry, cloud-provider telemetry, and customer-defined data models.
  • Drive platform initiatives focused on schema evolution, telemetry standardization, data insights, and semantic interoperability across Datadog products.
  • Partner with engineering and product teams across the platform to define standards, align stakeholders, and deliver high-leverage platform capabilities.
  • Mentor engineers through design reviews, technical guidance, operational excellence, and long-term career development.
  • Participate in on-call rotations and lead investigation and resolution efforts for complex production incidents affecting critical platform services.

Who You Are:

  • You have significant experience designing, operating, and scaling large-scale data infrastructure, distributed systems, or high-throughput data platforms.
  • You have demonstrated Staff-level impact through technical leadership, architectural ownership, cross-team influence, and mentorship.
  • You are a strong communicator who can drive alignment across engineering and product organizations without direct authority.
  • You bring a product-oriented mindset and can connect platform investments to customer outcomes and business impact.
  • You are comfortable operating in ambiguous problem spaces, balancing long-term platform strategy with pragmatic execution.
  • Experience with schema design, metadata systems, OpenTelemetry, observability platforms, knowledge graphs, or AI-assisted developer tooling is a plus.

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Benefits and Growth:

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Data Engineer - Foundational

Harmattan AI

Parisfulltime

Apply on the employer's site

Role description

About Us
Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.

Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About The Role
As a Data Engineer on the Foundational team, you will serve as the "plumber" for deep learning, building the massive, high-performance data infrastructure required to power our foundational models. Based in Paris, you will manage terabytes—and eventually petabytes—of raw, unstructured, and noisy video data (EO and IR). Your mission is to ensure our ML engineers spend their time designing architectures, not waiting for data loaders or wrangling corrupted files.

Responsibilities

  • Multi-Modal Ingestion Pipeline: Build ETL/ELT pipelines to extract, decode, and store raw Electro-Optical (EO) and Infrared (IR) video from field logs into highly optimised formats like WebDataset, TFRecords, or Parquet.
  • Sensor Synchronisation & Alignment: Develop algorithms to programmatically synchronise EO and IR frames temporally and spatially to provide paired inputs for model training.
  • High-Throughput Data Loading: Architect storage-to-GPU pipelines to ensure multi-node training clusters maintain >90% GPU utilisation without I/O bottlenecks.
  • Distributed Processing: Write and optimise distributed data processing jobs using tools like Apache Spark, Ray, or Apache Beam to process thousands of hours of tactical video logs.
  • Data Quality & Versioning: Implement automated quality checks to filter corrupted or blank frames and maintain 100% reproducible training runs through robust versioning and lineage tracking.
  • Infrastructure Evaluation: Assess and implement advanced storage solutions (e.g., MinIO, S3 tiering) to manage growing datasets while optimising for cost and latency.

Candidate Requirements

  • Educational Background: A BS or MS in Computer Science, Software Engineering, or Distributed Systems is highly preferred. Deep knowledge of operating systems, networking, and parallel computing is essential.
  • Technical Experience: 5-6+ years of experience building and maintaining terabyte-scale pipelines for unstructured data (video, images, or point clouds).
  • Performance Optimisation: Proven track record of maximising multi-node GPU utilisation and optimising data loaders for frameworks like PyTorch or JAX.
  • Tooling Expertise: Strong command of distributed computing tools (Spark, Ray, Beam) and ML data versioning tools (DVC, Apache Iceberg, or Pachyderm).
  • Adaptability & Ownership: A systems-thinker who thrives in a fast-paced startup environment and views messy data as an engineering problem to be solved via automation.
  • Commitment: 100% dedication to Harmattan AI’s mission of providing a defensive edge to allied nations through ethical, high-impact technology

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Data Analyst F/H

Thales

Vélizy-Villacoublayfulltime

Apply on the employer's site

Role description

Lieu : Vélizy-Villacoublay, France

Construisons ensemble un avenir de confiance
Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique & Spatial, et Cyber & Digital. Il développe des produits et solutions qui contribuent à un monde plus sûr, plus respectueux de l’environnement et plus inclusif. Le Groupe investit près de 4,5 milliards d’euros par an en Recherche & Développement, notamment dans des domaines clés de l’innovation tels que l’IA, la cybersécurité, le quantique, les technologies du cloud et la 6G. Thales compte près de 85 000 collaborateurs dans 65 pays.

Nos engagements, vos avantages

  • Une réussite portée par notre excellence technologique, votre expérience et notre ambition partagée
  • Un package de rémunération attractif
  • Un développement des compétences en continu : parcours de formation, académies et communautés internes
  • Un environnement inclusif, bienveillant et respectant l’équilibre des collaborateurs
  • Un engagement sociétal et environnemental reconnu

Votre quotidien
Rejoignez-nous sur le campus Vélizy qui héberge une grande diversité d’activités Thales, aéro, défense, civile,... A l'ouest de Paris, ce site offre un environnement de travail équipé des dernières innovations technologiques et propose des services permettant de concilier vie professionnelle et personnelle.

En tant que Data Analyst, vous jouerez un rôle clé dans l’exploitation et la valorisation des données pour accompagner nos métiers en leur fournissant des outils d’aide à la décision adaptés à leurs enjeux.

Vous serez amené à travailler sur des projets analytiques variés en collaborant étroitement avec les équipes métiers et techniques.

Vos missions :
Collecter, structurer et analyser des données issues de diverses sources,

Concevoir et optimiser des tableaux de bord interactifs sur Power BI,

Assurer la qualité, la fiabilité et la cohérence des données utilisées,

Collaborer étroitement avec les équipes métiers, l’IS/IT, les Data Engineers et les Data Scientists pour comprendre les différents besoins et proposer des solutions adaptées,

Contribuer à l’amélioration des processus de data management.

Participer à l’optimisation et à l’automatisation des flux de données, notamment via nos processus.

Votre profil :
Issu d'une formation de niveau Master 2 ou grande école d'Ingénieur, vous bénéficiez de 2 à 3 ans d’expérience en analyse de données.

Vous maitrisez Power BI pour la visualisation et l’exploration des données et avez de solides connaissances de SQL et des bases de données relationnelles.

Vous êtes reconnu pour votre excellent sens de la communication et votre capacité à collaborer avec des équipes pluridisciplinaires.

Le poste est basé à Vélizy. Des déplacements sont à prévoir sur les différents sites de notre Global Business Unit.

Thales, entreprise Handi-Engagée, reconnait tous les talents. La diversité est notre meilleur atout. Postulez et rejoignez nous !

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Tech Lead Data

Thales

Vélizy-Villacoublayfulltimelead

Apply on the employer's site

Role description

Lieu : Vélizy, France

Construisons ensemble un avenir de confiance
Thales est un leader mondial des hautes technologies spécialisé dans trois secteurs d’activité : Défense & Sécurité, Aéronautique & Spatial, et Cyber & Digital. Il développe des produits et solutions qui contribuent à un monde plus sûr, plus respectueux de l’environnement et plus inclusif. Le Groupe investit près de 4,5 milliards d’euros par an en Recherche & Développement, notamment dans des domaines clés de l’innovation tels que l’IA, la cybersécurité, le quantique, les technologies du cloud et la 6G. Thales compte près de 85 000 collaborateurs dans 65 pays.

Nos engagements, vos avantages

  • Une réussite portée par notre excellence technologique, votre expérience et notre ambition partagée
  • Un package de rémunération attractif
  • Un développement des compétences en continu : parcours de formation, académies et communautés internes
  • Un environnement inclusif, bienveillant et respectant l’équilibre des collaborateurs
  • Un engagement sociétal et environnemental reconnu

Votre quotidien
Rejoignez-nous sur le campus Vélizy qui héberge une grande diversité d’activités Thales, aéro, défense, civile,... A l'ouest de Paris, ce site offre un environnement de travail équipé des dernières innovations technologiques et propose des services permettant de concilier vie professionnelle et personnelle.

Responsabilités principales :

  • Utiliser des outils comme Google Cloud Platform (GCP) pour réaliser des traitements IA et Data
  • Participer à la compréhension des besoins métiers sur les problématiques data dans le but de définir les solutions les plus adaptées
  • Développer en Python ou Java/Spark des traitements de transformation et de production de données, participer à l'amélioration continue et à la revue de code.
  • Participer à la construction d’API permettant de collecter, traiter, exposer les données
  • Assurer la supervision et l’intégration des données de diverses natures et de sources multiples, vérifier la qualité des Data et assurer leur sécurité, nettoyer la donnée et la valider pour une utilisation avale
  • Participer à l’implémentation des chaines optimisées CI/CD en collaboration avec les équipes IT

Votre profil

  • Bac +5 / Ecole d’ingénieur avec une expérience confirmée : 5 ans de CDI, avec un rôle de Tech Lead
  • Compétences en GCP (idéalement avec certification)
  • Bon niveau d'anglais

Qualités personnelles
:

  • Esprit d'équipe et autonomie
  • Passion pour la donnée et le Cloud
  • Curieux et envie d'apprendre

Si vous êtes passionné par la Data et souhaitez faire partie de notre aventure, cette offre est faites pour vous !

Thales, entreprise Handi-Engagée, reconnait tous les talents. La diversité est notre meilleur atout. Postulez et rejoignez nous !

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Data Engineer - M/W

ManoMano

Paris

Apply on the employer's site

Role description

In less than a decade, ManoMano has become a key player in the home improvement and renovation sector.

Launched in 2013, ManoMano is the
reference online marketplace for DIY, home improvement and gardening
. Co-founded by Philippe de Chanville and Christian Raisson, ManoMano brings together the largest offer of DIY & gardening online products: electricity, plumbing, hardware, frames, indoor and outdoor furniture, tools, etc. With more than
5 000 seller partners and 11 million products,
ManoMano currently employs
500 people and operates in 6 markets
(France, Belgium, Spain, Italy, Germany, United Kingdom).

Motivated by the prospect of improving the living environment of their customers and convinced of the importance of the home market for sustainable consumption habits, the ManoMano teams want to help write a new page in their industry, which is struggling to reform itself. ManoMano brings to a highly technical world the power of its sector expertise, combined with that of data and digital in all its dimensions, to offer our customers easy access to innovative advice, products and services 100% online.

The ambition of the Founders and, above all, of Manas & Manos? To accompany this sector transformation with a strong culture of boldness, in an ingenious and frugal organization that places people and teams at the heart of the company's development.

Join Our Data Engineering Team!
At ManoMano, our Data Engineering team is at the heart of our data-driven culture. Nested within our comprehensive Data Department alongside data scientists and data analysts, we tackle the exciting challenges of big data at scale to drive business intelligence and innovation.

As we continue to grow, we are looking for a Data Engineer to bring solid experience to our team.

What You'll Do

  • Contribute to the design of scalable, reliable, and high-performance data pipelines across our Data Platform and its ecosystem (data warehouses, APIs, event buses, visualization platforms)
  • Take ownership of critical data domains, ensuring end-to-end reliability, observability, and performance
  • Apply and improve data quality frameworks and best practices to ensure all metrics and datasets provided across the company are trustworthy and actionable
  • Collaborate closely with stakeholders to anticipate data needs, identify bottlenecks, and proactively propose solutions
  • Contribute to the evolution of our Data Platform strategy, including tooling choices, architecture patterns, and documentation
  • Participate in incident response and root cause analysis on data-related issues, ensuring fast recovery and long-term resilience
  • Share knowledge and best practices with team members, contributing to collective growth and helping raise engineering standards across the team

What We're Looking For
We're on the hunt for a Data Engineer with proven experience in designing and building data systems in a fast-paced environment. The ideal candidate should:

  • Have 2 to 4 years of experience in Data Engineering, with a strong command of SQL and Python in production-grade, orchestrated environments
  • Demonstrate a solid understanding of data modeling, data pipeline architecture, and performance optimization
  • Exhibit strong communication skills and the ability to thrive in a risk-taking, problem-solving, and continuously learning work environment
  • Be comfortable leveraging AI-assisted development tools (code generation, documentation, debugging) as a natural part of their daily workflow, with the critical thinking to use them effectively
  • Embody our company values of boldness, ingenuity, and responsibility, with a commitment to data quality and engineering excellence

What ManoMano Will Offer You
Our Technical Stack:

  • Snowflake
  • Airflow
  • Python
  • S3
  • Kafka
  • AI-assisted development tools (LLM-based coding assistants, etc.)

This role is a unique opportunity to have a high-impact technical footprint in one of Europe's leading e-commerce platforms. You'll work on complex, large-scale data challenges alongside talented engineers, and play a key role in shaping the future of our Data Platform, whether you're passionate about system design, data reliability, or enabling data-driven decision-making at scale.

*Apply now and join an exciting adventure ! ✨

You are welcome to apply to ManoMano, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.*

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

162 more openings in this category and country

Staff Engineer - Data SemanticsDatadog · France

Apply on the employer's site