Ofertes d'ocupació per a Scala

• Nivell d'experiència---
• Tipus de contracteA temps complert
• PublicadaNova

Python Agile TSQL NoSQL C++ Cloud Coumputing Scala AWS R SharePoint Spark Machine Learning

GSC Senior Advanced Analytics Master

• Location: Barcelona - Spain
• Hybrid
• Full time
  
  

About The Job

Our Team:

At Sanofi we are chasing the miracles of science to improve people’s lives. We at Global Supply Chain Strategy & Excellence support this ambition by driving strategy and excellence through innovation and digitalization, redesigning work, enabling people, and providing expertise.

At Supply Chain Business Analytics Center of Excellence, we are on a mission to ensure everyone can harness the power of data in every decision. Our ambition is to transform and disrupt the SC practice to make it data-driven and digitally enabled to simplify, accelerate and improve the impact of the decision making processes steering for best-in-class SC performance.

We believe in empowering the business with execution visibility, advanced analytics and with interactive data visualizations from multiple data sources.

Our scope includes all Supply chain processes: Customer Care, Logistics (Warehousing, Distribution and transportation), Supply chain planning (Distribution requirements planning, Demand planning, Integrated Business Planning, Inventory and Supply Planning) and Production/Scheduling Planning, across all Plants, Regions and Markets and for all Business units (GBUs).

You will contribute to empower the life of our patients worldwide by extracting meaning from data and providing tangible and actionable outcomes using the latest available technics and technologies (AI/ML/GenAI).

Join us in this adventure!

Main Responsibilities

• Our ideal candidate will have strong technical skills such as Optimization, Statistics, Machine Learning and will be proficient using tools as R/Python.
• Build end-to-end data science pipelines to generate insights and business value from complex datasets
• Investigate, explore and evaluate new and existing datasets in order to leverage their potential usage in different datascience projects
• Design, implement and run experiments to validate performance of existing and new models
• Build advanced analytics solutions and ensures seamless integration within SC processes and adoption
• - Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information
• Build and adapt machine learning models to improve performance of existing forecasting, classification, segmentation and NLP pipelines
• Work on full spectrum of activities from conducting ML experiments to delivering production ready models and creation of ML libraries to facilitate ML scaling
• Contribute to the scaling and industrialization of innovative ML initiatives by writing highly optimized and reusable code, following MLOps best-practices and using state-of-the art technologies
• Evaluate and leverage the usage of new data-oriented technologies within the Sanofi cloud & data environments
• Proactively mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership in SC
• Performs large-scale experimentation to identify hidden relationships between variables in large datasets in SC
• - Implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
• Develops frameworks and processes to analyze unstructured information collected through social media platforms i.e., wikis, blogs, instant messaging, etc. and traditional sources such as e-mail and SharePoint
• Work with user experience specialists to enhance user experience and drive adoption
• Advise product teams on new products, features, or updates
• Visualize information and develop reports on the results of data analysis using data visualization tools
• Help building a solid data culture within the Sanofi community
• Support applications through life cycle management, and steer continuous improvement.
• Interact with the community of practice for analytics.
• Gather from them the business needs in terms of data, data visualization, self-service analytics, automation, and value-driven optimization.
• - Understand the complexity of the required solution and define the right design approach to the developing team.
• Deliver projects with Agile methodology
• Build advanced analytics and optimization tools that will enable Sanofi to increase efficiency and competitiveness for instance:
• Optimization: Multi-Echelon Inventory Optimization, SC facilities localization, Milk run optimization, Routes determination.
• Discrete Event simulation: Identification of bottle necks, validation of the inventory policy determined by MEIO
• Machine learning: KPI target settings, product segmentation, detection of abnormal patterns in systems usage
• AI/GenAI: SC GenAI assistant, OOS probabilistic prediction.
• Partner with Digital to deliver robust, reliable solutions meeting business requirements.
• Apply best practices in analytics to delivery robust and reliable solutions meeting business requirements.
• Strive for standardization, simplification & digitization.
• Ensure that data is managed/analyzed in compliance with applicable quality, regulatory (Data Privacy, GxP, SOX, etc.) and cybersecurity requirements
  
  

Experience

About you

• Solid of experience in Supply chain
• Background developing at scale AI, Digital, Data & Analytics solutions
• Significant Project Management experience (Agile and Digital methodologies).
• Proven experience working in a data-centric business environment.
• Proven track record delivering business value through disruptive solutions
• Experience in a complex global organization
• Background in Supply Chain Management is a plus
  
  

Soft Skills

• Ability to engage and collaborate with external partners to develop and deliver short, medium- and long-term projects; demonstrated ability to collaborate & influence. High level of emotional intelligence and business integrity;
  
  

Technical Skills

• Advanced software development skills in at least two of the standard data science languages (such as Python, R, Scala, C++, Julia), and with database systems (e.g. SQL, NoSQL, graph,..).
• Experienced working in cloud high-performance environments (e.g. Snowflake, AWS, GCP, Apache Spark).
• Advanced in AI, ML, GenAI solutions development (MLOps, CI/CD).
• Expertise in advanced statistical modelling, or broader aspects of mathematics such as optimization or deep ML expertise e.g NLP, imaging
  
  

Education

• Degree in Business Administration, IT, Mathematics, Statistics, Supply Chain Management, Engineering or similar.
• APICS certification is an asset.
  
  

Languages: Fluent in English

Manufacturing & Supply - Leadership Skills

Enterprise Leaders: Are able to have the E2E vision of the business, prioritizing the common interest for the benefit of Sanofi and the patients. Are able to connect the dots for their teams and keep them engaged with the vision.

Transformation Leader: Acts as change management and culture role model to foster employee’s engagement and build a psychologically safe and collaborative workplace.

Decision Maker: Takes timely and data-based decisions in a fast moving and complex environment to drive performance and progress. Promotes an environment where decisions are taken at the right level.

Performance Champion: Embrace digital innovation, AI, GenAI to democratize data and drive continuous improvement initiatives to enhance efficiency, quality, safety, and cost effectiveness.

Business Ally: Understand business landscape Industry & business/client groups knowledge to translate the challenges & bring added value. Stay current with global external trends and integrate insights into strategies achieving sustainable competitive advantage.

People Developer: Unleashes the potential of each one and prepares the leaders of the future. Takes bold decisions to ensure the right talents are at the right place.

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

nullPursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada13 de set.

Teletreball Python TSQL Azure Scala Microservices Spark

📅 Experiencia: 3 años

🎯 Funciones

Consultar y extraer datos.

Desarrollos en Databricks (Scala/Python).

Tratamiento y analítica de información en el DataLake.

✅ Requisitos

3+ años en proyectos de Data Engineering.

Experiencia en ETL, modelado de datos, Spark.

Conocimientos en Databricks, Azure, bases de datos, SQL y microservicios.

Programación en Scala y Python

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada12 de set.

Teletreball TSQL Scala Spark

En Grupo NS estamos seleccionando Desarrolladores con 2-3 años experiencia en Scala Spark, SQL, Apache Airflow, Databricks, Qlickview, Impala, Starburst, Cloudera, S3 para un importante proyecto, dentro del sector bancario, 100% en remoto

Grupo NS es una empresa donde se valora tanto el perfil profesional tecnológico de los trabajadores, como el interés y la aptitud que demuestren a la hora de desarrollar nuevos proyectos.

Por ello, requerimos personas constantes, con ganas de evolucionar y aprender.

- 2-3 años experiencia

- Skills: Scala Spark, SQL, Apache Airflow, Databricks, Qlickview, Impala, Starburst, Cloudera, S3

- Proyecto Bancario

-Ubicación: 100% remoto

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada7 de set.

Teletreball Python TSQL Azure Docker Cloud Coumputing Kubernetes GraphQL Scala REST AWS

Ubicación:

Madrid, ES, 28046

Fecha de publicación: 9 ago 2025

¿Te defines por tu talento y tu visión?

Entonces, tú también puedes marcar la diferencia. Únete a un entorno profesional que contribuye a la transformación de empresas y sociedad. Alcanza tus metas, supera tus límites y únete a una firma que va más allá de los servicios profesionales.

Porque marcar la diferencia no es solo algo que decimos. Es lo que hacemos.

Desarrolla tu carrera con nosotros.

Desde el equipo de LIGHTHOUSE, nuestro centro de excelencia de Data & Analytics, Inteligencia Artificial & Tecnologías Emergentes, ayudamos a nuestros clientes a encontrar la eficiencia y el alto rendimiento en todas sus funciones TIC, tanto internas como externas hacia sus unidades de negocio y proveedores: buscando la máxima eficiencia en la operación de sus servicios y ajustando sus costes; así como incrementando su trascendencia en la cuenta de resultados y facilitando la innovación.

Nos encontramos en proceso de crecimiento y estamos buscando un/a Data Engineer Senior para diseñar, desarrollar e implementar soluciones de datos en entornos cloud, utilizando tecnologías como Snowflake, Databricks, Microsoft Fabric.

Será responsable de construir y optimizar pipelines de datos escalables, garantizando la calidad y gobernanza, definir arquitectura de datos, modelado, así como en la integración de datos desde múltiples fuentes.

¿Que necesitas saber?

• FormaciónenTelecomunicaciones, Informática o a fines
• Más de 3 años de experiencia
• Imprescidible programación: Python, SQL, Scala.
• Experiencia en plataformas de datos: Snowflake, Databricks, Microsoft Fabric...
• Experiencia en construcción de pipelines, modelado de datos y orquestación de los mismos.
• Conocimiento de DataOps y CI/CD para la automatización de despliegues en pipelines de datos.
• Soft skills: capacidad de interlocución, liderazgo y proactvidad
• Certificaciones de desarrollos en nube publica (Azure, AWS, GCP)
  
  

Recomendable

• Formación de postgrado en IA
• Certificaciones en el ámbito de la IA
• Experiencia en Kubernetes y Docker para despliegue de entornos de datos escalables.
• Familiaridad con GraphQL y APIs REST para consumo de datos.
  
  

¿Qué valor añadido te podemos aportar?

• Un gran ambiente de trabajo, tanto dentro como fuera de la oficina
• Oportunidades internacionales y red de contactos global
• Formacióncontinuay plan de carrera a tu medida
• Salario competitivo y plan de remuneración flexible
• 31 días laborables de vacaciones
• La tarde de tu cumpleaños libre
• Flexibilidad y posibilidad de teletrabajo
• Acceso a Kteam, nuestra plataforma de bienestar, servicios, solidaridad y promociones
• Los beneficios pueden variar para programas de becas y/o prácticas
  
  

Nuestro compromiso en KPMG es promover ambientes de trabajo en los que se trate con respeto y dignidad a las personas, garantizando la igualdad de oportunidades en su selección, formación y promoción ofreciendo un entorno de trabajo libre de cualquier discriminación por motivo de género, edad, discapacidad, orientación sexual, identidad o expresión de género, religión, etnia, estado civil o cualquier otra circunstancia personal o social. Y es que cada persona tiene un valor único y especial que aportar a la firma.

Nuestros valores marcan la diferencia. Marca la diferencia, impulsa tu talento.

• Flexibilitat horàriaSi
• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada5 de set.

Python TSQL Azure Scala Spark Big Data Machine Learning Power BI Tableau

¿Eres un apasionad@ de la ingeniería y ciencia de datos y te interesa seguir desarrollando tu carrera como data scientist and engineering specialist en proyectos estables?

nuestro cliente

Randstad Digital es la empresa de consultoría tecnológica del grupo Randstad especializada en servicios tecnológicos estables. Estamos presentes en más de 20 mercados y contamos con más de 25.000 especialistas a nivel global y a nivel nacional con más de 400 y tenemos oficinas en Madrid, Barcelona, Valencia, Sevilla, Zaragoza, Bilbao y Valladolid. Ofrecemos una amplia gama de servicios y soluciones tecnológicas para empresas de diferentes sectores: Banca, Seguros, Industria, Telecomunicaciones, Media, Digital, Aeronáutica, Automoción, Servicios y Administraciones públicas.

tus funciones

Análisis y Modelización de Datos: Aplicación de Databricks para el análisis de datos, la construcción de modelos predictivos y la generación de insights de valor para el negocio.
Colaboración Interdepartamental: Interlocución continua con ingenieros, analistas y responsables de negocio para definir requerimientos y aportar soluciones eficaces.
Desarrollo de Flujos de Datos: Diseño y construcción de pipelines de datos escalables, empleando Databricks y otras tecnologías del ecosistema Big Data.
Optimización de Procesos: Mejora continua de los flujos de trabajo en el procesamiento de datos, con especial foco en el rendimiento y la eficiencia de costes.
/ Reporting y Visualización: Creación y seguimiento de dashboards e informes para comunicar los hallazgos clave a audiencias no especializadas.

requisitos del puesto
- Formación: Ciclo Formativo Grado Superior
- Idiomas: Inglés: C1
- Conocimientos: data, data science, azure databrick, Pytorch, Azure Machine Learning
- Experiencia: 5 años

Stack Tecnológico: Experiencia avanzada en el ecosistema Big Data, especialmente con herramientas como Databricks y Apache Spark.
Programación: Alto nivel de competencia en Python y SQL para el tratamiento de datos, así como experiencia en Scala.
Machine Learning: Experiencia práctica en la aplicación de librerías y frameworks de aprendizaje automático (TensorFlow, PyTorch, scikit-learn) para el desarrollo de modelos.
Visualización de Datos: Habilidad para transformar datos complejos en visualizaciones claras e impactantes a través de herramientas como Tableau o Power BI.
/ Pensamiento Analítico: Gran capacidad para el análisis y la resolución de problemas complejos, identificando patrones y proponiendo soluciones eficientes.

tus beneficios

¿A qué esperas para formar parte de nuestro gran equipo Randstad Digital?, aquí encontrarás motivos para ello: PLAN DE FORMACIÓN CONTINUA, plan de formación anual, acceso a plataforma elearning de formación técnica, plataforma de formación en habilidades¿ ACOMPAÑAMIENTO Y PLAN DE CARRERA, Tendrás un referente de Randstad Digital cerca de ti en todo momento. CONCILIACIÓN, Sabemos que tu vida personal es tan importante como la profesional por eso podrás disfrutar de 23 días de vacaciones y en la mayoría de nuestros proyectos tendrás un horario flexible. COMPROMISO y ESTABILIDAD, Incorporación a empresa en continuo crecimiento que apuesta por las nuevas tecnologías. SALARIO COMPETITIVO acorde a tu experiencia profesional. CONDICIONES contractuales competitivas, Plan de retribución flexible (tarjeta restaurante y cheques guardería) y Randstad Care, plataforma de ofertas y descuentos exclusivos.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada3 de set.

Javascript Java Scala Ruby Office

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About The Team

Stripe offers an interesting middle ground between joining a small startup and going to work for a multinational company. We have systems and processes optimized for early-career professionals. You will be in an environment that prizes rigor, discipline, and reliability—from our products, from our ways of working, and from our colleagues. You will learn how the best teams put together extremely reliable systems, and you will be responsible for operating these systems, with adequate backup when things get tough.

What you’ll do

As a company, we believe in end-to-end ownership of projects. For any given project, we have one person on point. While they don't necessarily have to do all the work themselves, it's their job to make sure all the work gets done. We launch betas and prototypes as early as we can. This helps ensure that we're building what users actually want. We contribute back to the community, often by building things we think are cool and by releasing open-source software.

Responsibilities

• Work on cross-functional projects, directly collaborating with other engineers
• Give meaningful feedback on code reviews and technical designs
• Ensure that the systems your team operates continue running well and can scale to meet the needs of our users
• Build the skills to own a project from beginning to end, learning project management and technical leadership skills
  
  
  

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• A Bachelor’s, Master’s, or PhD degree in computer science or a directly related field, obtained by summer 2026, or equivalent work experience
• Some experience and familiarity with programming, either through side projects or classwork. We work mostly in Java, Ruby, JavaScript, Scala, and Go. We believe new programming languages can be learned if the fundamentals and general knowledge are present
• Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)
• Ability to learn unfamiliar systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts
  
  
  

Preferred Qualifications

• One or more areas of specialized knowledge balanced with general skills and knowledge, such as knowing more frontend technologies and, at a high level, how a service handles an HTTP request
• Experience in code review practices, and an understanding of how to safely update production systems
• Familiarity with navigating and managing work in large code bases
  
  
  

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual salary range for this role in the primary location is €46,200 - €69,400. This range may change if you are hired in another location. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada29 d’ag.

Teletreball TSQL Scala Spark Big Data

Descripción
💻 Desarrollador/a Junior Big Data (Remoto)En Zemsania estamos buscando un/a Desarrollador/a Junior Big Data con al menos 3 años de experiencia para un proyecto destacado en el sector financiero/tecnológico.
📍 Modalidad de trabajo
🌐 100% remoto

🕘 Horario:
Lunes a jueves: 9:00 – 19:00
Viernes: 8:00 – 15:00
Julio y agosto: jornada intensiva de 7h✅ Requisitos mínimos
Experiencia de al menos 3 años en proyectos Big Data.

Conocimientos técnicos en:
⚡ Scala Spark
🗄 SQL
📊 Apache Airflow
☁️ Databricks
🗂 Cloudera

💾 S3🌟 Se valorará
Experiencia en entornos distribuidos.
Capacidad analítica y orientación a resultados.
Proactividad, iniciativa y capacidad para trabajar en equipo.🛠 Funciones
Refactorización y optimización de aplicaciones críticas dentro del ecosistema Big Data.
Desarrollo, mantenimiento y evolución de pipelines de datos.
Implementación de buenas prácticas y estándares de calidad en proyectos de datos.

🎁 Qué ofrecemos
Contratación directa con Zemsania.
Proyecto estable y de largo recorrido en el sector financiero.
Oportunidades de crecimiento profesional y formación continua.
Jornada intensiva en verano.

⚖️ Compromiso con la igualdad
En Zemsania, apostamos firmemente por la igualdad de oportunidades. Promovemos procesos inclusivos, libres de discriminación por edad, género, orientación sexual, etnia, religión o discapacidad. Nos comprometemos con un entorno justo y diverso donde cada persona pueda desarrollarse plenamente.

¿Quieres formar parte de un equipo técnico de alto nivel en seguridad de sistemas?
¡Envía tu candidatura y da el siguiente paso con nosotros!

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada18 d’ag.

Python TSQL Azure Cloud Coumputing Scala Git AWS DevOps Big Data

ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data & Cloud, and Web & Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.

ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data & Analytics (D&A) consulting firms, with a clear goal to become one of EMEA's largest D&A consulting companies.

Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.

As a Data Engineer, you will be responsible securely transfer the data between different network domains and environments. Besides that, you will be improving the performance and enhancing the structure of the data pipelines and data models.

At ClearPeaks, there are endless opportunities to get involved in different projects bringing innovative ideas while being part of leading-edge teams who are always innovating and evolving in the Data Management field.

Responsibilities

• Develop, deploy and manage data pipelines following CI/CD practices
• Orchestrate data pipelines with tools such as Airflow, Oozie, Azure Data Factory, etc.
• Develop Python scripts or Scala code for data processing
• Collect and analyse pipeline requirements
• Consult about best architectural and design principles in developing pipelines

Requirements

• A degree in Statistics, Computer Science or Telecommunication Engineering, Informatics or related degree.
• Proven experience with Python or Scala
• Experience with orchestration tools like Airflow or Oozie
• Ability to use CI/CD & DevOps tools such as Git, AWS CI/CD Pipelines, Azure DevOps, etc.
• Knowledge on SQL
• KNIME knowledge is nice to have
• Ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
• Technology expertise of solutioning in cloud data platforms in AWS, Azure or GCP

Our offer to you!

• Work with leading edge technologies that will enable you to accelerate your career development.
• Enjoy an excellent work environment where people love what they do.
• Be part of an international and ambitious team whilst having fun.
• Attractive salary and flexible compensation

• Nivell d'experiència---
• Tipus de contracteA temps complert
• Publicada18 de juny

Java Python Scala Microservices Spark Office Cloud Coumputing SaaS

The Data Science team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As a Software Engineer on the Data Science team, you will design, build and scale the backend systems that power our growing suite of Watchdog products. You will be working on large-scale distributed systems, horizontally-scalable datastores and a variety of data-processing frameworks to build our next-generation platform and capabilities for Data Science at Datadog.

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

What You’ll Do:

• Build common services and components encapsulating data science capabilities for other products and teams to leverage
• Enable new capabilities for our core products by integrating and preprocessing data from tens of sources and preparing it for incorporation into data science models
• Ensure that our data science-driven features continue to scale well as Datadog adds more customers and ingests more data per customer
• Leverage modern tools and frameworks to improve the performance and cost-efficiency of data science services
• Join an amazing team of data scientists and software engineers building a product that our customers love to use
• Work all over the stack, moving fluidly between programming languages and technologies
  
  

Who You Are:

• You have experience working in Python, Java, Scala or Go
• You have experience working with microservices and/or distributed systems
• You value simplicity and getting the right things done
• (Senior Level) You have built high-volume data pipelines
• (Senior Level) You have expertise in Python, Go or Scala and are familiar with Spark or Flink
  
  

Datadog values people from all walks of life. We understand 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 skills, we encourage you to apply.

Benefits and Growth:

• Competitive global benefits
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  
  

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 (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. 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.