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Data Engineer

Senior Software Engineer - SaaS Connectors

Fivetran

Удалённоsenior

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Описание вакансии

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About The Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues.

This is a full-time position based out of our Novi Sad office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use
Java, SQL, Kubernetes, Docker, AWS, GCP, BuildKite, Github Copilot, Claude Code, Codex.

What You’ll Do

  • Work on core features of the product
  • Write connectors to integrate with source systems
  • Contribute to feature enhancements and bug fixes
  • Write well-structured Java code following programming best practices
  • Independently design software architectures and subsystems to satisfy project requirements
  • Lead technical initiatives across the team and coordinate development efforts among multiple engineers
  • Review and approve technical designs and critical code changes
  • Improve engineering quality standards through coaching and mentorship
  • Drive innovation by evaluating new technologies and engineering approaches, including AI-assisted development workflows
  • Use AI-powered development tools such as Github Copilot, Claude Code, and Codex to accelerate development, testing, investigations, and incident resolution
  • Participate in team on-call duty

Skills We’re Looking For

  • Strong coding, technical, and problem-solving skills with 6+ years of professional experience writing Java-based applications in production environments
  • Experience designing and operating reliable distributed systems, with an emphasis on high-volume data management platforms operating under strict SLAs
  • Expertise working with cloud platforms, cloud-based APIs, and databases
  • Proven ability to design and own team-level subsystems and drive architectural initiatives
  • Experience leading complex technical projects across multiple engineers
  • Strong code review, debugging, and troubleshooting skills
  • Experience using AI-assisted engineering tools such as Github Copilot and coding agents like Claude Code or Codex in software development workflows
  • Strong collaboration and communication skills
  • Ability to mentor engineers and improve code quality standards across the team

Bonus Skills

  • Experience building large-scale data pipeline or ETL systems
  • Experience working with Kubernetes-based distributed infrastructure
  • Experience improving developer productivity through AI-assisted development practices
  • Familiarity with conversational AI systems such as ChatGPT, Claude, or similar tools for engineering documentation, investigation, and design workflows

Perks And Benefits
100% employer-paid medical insurance

  • Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off

  • RSU stock grants*

  • Professional development and training opportunities

  • Company virtual happy hours, free food, and fun team-building activities

  • Monthly cell phone stipend

  • Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

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Data Engineer

Senior Data Engineer, AI

EPAM Systems

Удалённоfulltimesenior

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Описание вакансии

We are looking for a
Senior Data Engineer with AI
to architect and build intelligent AI workflows that merge models, enterprise data, and business logic into dependable, production-ready solutions. Within this position, you will construct scalable AI deployment pipelines, embed AI functionality into enterprise systems, and partner with data scientists and business experts to deliver secure, transparent, and compliant AI behavior.

 

This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.

 

 

Responsibilities

  • Architect and build AI workflows that merge models, prompts, enterprise data, tools, and business logic
  • Create and sustain prompt engineering approaches, covering versioning, testing, and optimization
  • Deploy orchestration layers supporting multi-step reasoning, decisioning, and action execution
  • Embed AI functionality within enterprise systems, APIs, and user interfaces
  • Apply guardrails that guarantee secure, transparent, and compliant AI behavior
  • Construct and sustain production-grade AI deployment pipelines
  • Guarantee dependability, scalability, latency optimization, and cost efficiency of AI services
  • Deploy monitoring and observability for AI systems covering usage, performance, drift, and failures
  • Set up change control, versioning, rollback, and release management practices
  • Work closely alongside data scientists and business experts to verify model behavior and outputs
  • Convert experimentation outcomes into dependable production-ready solutions
  • Convey operational constraints and engineering considerations to stakeholders

Requirements

  • More than 3 years of experience working in software development
  • Solid engineering foundation paired with applied AI expertise
  • Proficiency in architecting and building AI workflows that merge models, prompts, and enterprise data
  • Mastery of prompt engineering approaches, covering versioning, testing, and optimization
  • Abilities in constructing production-grade AI deployment pipelines, MLOps, and productionization
  • Proficiency in monitoring and observability for AI systems, covering drift, performance, and failures
  • Understanding of change control, versioning, and release management practices
  • Ability to rapidly get up to speed on new platforms and tools
  • Experience with large-scale enterprise data ecosystems
  • English skills at B2 level or above

 

We offer

  • We connect like-minded people
    • Delivering innovative solutions to industry leaders, making a global impact
    • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
    • Opportunity to work abroad for up to two months per year
    • Relocation opportunities within our offices in 55+ countries
    • Corporate and social events
  • We invest in your growth
    • Leadership development, career advising, soft skills and well-being programs
    • Certifications, including GCP, Azure and AWS
    • Unlimited access to EPAM's internal learning database
    • Free English classes with certified teachers
  • We cover it all
    • Participation in the Employee Stock Purchase Plan
    • Monetary bonuses for engaging in the referral program
    • Comprehensive medical & family care package
    • Four trust days per year for personal needs
    • Discounts for fitness clubs
    • Benefits package (hotels, restaurants, stores and services)

 

EPAM Armenia is a team of talented innovators united by a passion for technology. In 2014, we opened our first office in Yerevan, and now we have a second engineering hub in Gyumri. We've built a continuously learning organization that helps its employees rapidly advance their careers. Here you will work with the world's industry leaders, support impactful projects using the latest technologies, collaborate with multi-national teams, and have access to a wide variety of development opportunities.

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Data Engineer

TRANSPORT & DATA ANALYST APPRENTICE

Sonoco

Удалённоfulltime

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Описание вакансии

OFFRE D’APPRENTISSAGE

Apprenti Analyste Transport et Base de données

Sonoco – Saint-Ouen - France

APERCU DE L'ENTREPRISE

Sonoco, via ses filiales est un fournisseur mondial de premier plan de produits d’emballage pour l'alimentaire, des équipements et des services à un large éventail de marchés finaux. Avec 22 000 employés répartis sur 300 sites de production dans 33 pays.

Sonoco, un des leaders de l'industrie de l'emballage dont l'innovation et le développement durable sont au cœur des préoccupations. L'entreprise est le plus grand fabricant européen d'emballages alimentaires avec des centaines de clients mondiaux et régionaux du secteur alimentaire et des produits de grande consommation.

Description
Basé à Saint-Ouen (Paris), l’apprenti analyste de transport et base de données, sous la supervision du Transport & Warehousing Controller, met à jour des bases de données, effectue une analyse de la préfacturation au sein de la division Européenne et mets à jour des présentations.

MISSIONS DE L’ALTERNANCE

Dans le cadre de cette alternance, les missions suivantes pourront être proposées :

Mise à jour des bases de données tarif transport

  • Mise à jour des tarifs en fonctions des informations communiquées par les acheteurs
  • Correction des transporteurs obsolètes et des équipements utilisés
  • Uniformisation des codes postaux et des noms des villes

Analyse de la préfacturation

  • Suivi quotidien du rapport d'erreurs
  • Analyse des modifications manuelles de prix par les usines
  • Recherche et correction des distances erronées

Autres taches

  • Extraction des indices fuel Européen (IRU)
  • Support ponctuel aux usines sur l'outil de préfacturation
  • Points d'avancement réguliers de l’apprentissage et des objectifs

Pendant l’apprentissage, l’étudiant(e) développera des compétences en gestion de Supply Chain en se concentrant sur le transport.

FORMATION

Niveau de formation

  • MBA, Master ou Licence en transport, logistique, approvisionnement, data analyste
  • Diplôme universitaire minimum de 2 ans en comptabilité / contrôle de gestion
  • École supérieure de commerce

Connaissances informatiques

  • Outils Office (e-mail, tableur type Excel (bon niveau)

‘’Excel Power Query, Power Automate, Power BI, Python sont un atout’’, logiciel de présentation tel que PowerPoint...)

  • Connaissance de SAP est un atout

Langues étrangères

  • Français (intermédiaire à bon niveau)
  • Anglais (intermédiaire à expérimenté)
  • Allemand et/ou Espagnole serait un plus

COMPETENCES & COMPORTEMENT

Savoir faire
Le/la candidat/(e) doit avoir une bonne connaissance de l’environnement du transport (y compris les principes fondamentaux de la réglementation des transports) et comprendre la gestion comptable des entreprises.

Savoir être
L’apprenti analyste transport et base de données est rigoureux/(se) et démontre une bonne aisance relationnelle. Il/elle a la capacité de s’adapter aux outils, aux procédures et aux méthodes de travail.

Enfin, il/elle est réactif/(ve), curieux/(se), analytique et ouvert/(e) aux autres.

AUTRES

Durée

  • 1 à 2 ans, début septembre 2026

Avantages

  • Remboursement 75% pass Navigo
  • Accès restaurant d'entreprise
  • Gratification supérieure au légal

CONTACT
Sonoco – Sylvie Tran-Gout

Email: sylvie.tran-gout@Sonoco.com

We are an equal opportunity employer, and we strictly prohibit and do not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, national origin or ancestry, sex, pregnancy, sexual orientation, marital status, gender identity or expression, age, disability, genetic information, veteran status, or any legally protected characteristic.

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Data Engineer

Machine Learning Engineer

Cashea

Удалённоfulltime

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Описание вакансии

¡Hola! Somos Cashea 👋 y nuestra misión es devolverle a los venezolanos la oportunidad de acceder al crédito a través de un modelo de negocio
BNPL
(buy now, pay later).

Desde nuestro lanzamiento en 2022, nos hemos dedicado a promover la
inclusión financiera
. Hoy contamos con más de 9 millones de usuarios activos, tanto consumidores como comercios, y nos hemos convertido en una marca de confianza en Venezuela, ganándonos el corazón y la mente de las personas.

Resumen del rol
Construir la infraestructura de Machine Learning y MLOps que permite a Data Scientists desarrollar, desplegar y mantener modelos de Machine Learning en producción siguiendo buenas prácticas industriales. Responsable de crear herramientas, SDKs y pipelines automatizados que garantizan reproducibilidad, observabilidad y gobernanza de modelos, con enfoque en self-service y autonomía de equipos de ML. Incluye productización y mejora constante de modelos complejos (bayesianos, ensembles) con estándares de calidad enterprise.

Responsabilidades

  • Realizar análisis de datos ad hoc y presentar hallazgos accionables al equipo.
  • Implementar y mantener monitoreo y alertas sobre indicadores críticos.
  • Desarrollar e implementar dashboards que permitan optimizar métricas clave.
  • Colaborar dentro del squad en el diseño e implementación de soluciones analíticas que respondan a las necesidades del negocio.
  • Traducir requerimientos del squad en modelos de datos y transformaciones dentro del data warehouse.
  • Coordinar con Data Engineering y otros squads para asegurar la calidad, consistencia y disponibilidad de los datos.

Requisitos

  • 5+ años de experiencia en Ciencia de Datos, Machine Learning o MLOps
  • 2+ años trabajando con MLOps tools en producción (registry, tracking, model serving, Monitoring, Versioning)
  • Experiencia construyendo SDKs/libraries Python para consumo interno
  • Experiencia con CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
  • Capacidad de entender modelos bayesianos, ponerlos en producción con buenas prácticas y mejorarlos

Técnico:

  • Python avanzado (packaging, testing, documentation)
  • MLflow (registry, tracking server, model serving, artifacts)
  • Modelos bayesianos (PyMC, Stan, o similar) - productización y optimization
  • Docker & Kubernetes básico
  • Git & GitHub/GitLab workflows
  • REST APIs design & development
  • Cloud platforms (GCP preferible, AWS/Azure acceptable)

Soft Skills

  • Mentalidad de "internal tooling" (diseñar para otros desarrolladores)
  • Documentación clara y completa (technical writing)
  • Comunicación efectiva con Data Scientists (entender sus pain points)
  • Ownership/Autonomía

Por qué te encantará trabajar en Cashea
En Cashea tenemos una cultura de trabajo basada en la confianza y el propósito. Si quieres saber por qué somos el lugar ideal para ti, estos son nuestros valores fundamentales:

  • No trabajamos en piloto automático. Todo lo que hacemos y compartimos —dentro y fuera— es intencional. Nos apasiona crear ideas siendo plenamente conscientes del impacto que tienen en nuestros usuarios.
  • Tu creatividad y curiosidad son tus activos más importantes.
  • Tu voz importa. Escuchamos y abrimos espacio para las ideas y el feedback. Aquí todos pertenecen; lo que es importante para ti, lo es para nosotros.
  • Valoramos la transparencia. La claridad nos mantiene conectados y con los pies en la tierra.
  • Por último, pero no menos importante, nos enfocamos en el impacto real. Todo lo que hacemos está destinado a marcar la diferencia.

¿Te identificas?
¡Postúlate ahora, nos encantaría conocerte!

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Data Engineer

Industrial AI & Data Science Trainee (M/F/D)

Valeo

Удалённоparttime

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Описание вакансии

Your Responsibilities Will Include

  • Implementing and maintaining "Factory of the Future" AI solutions across 20 industrial sites to improve efficiency, data management, and communication
  • Deploying and designing AI-driven tools to solve practical industrial challenges like predictive maintenance and automated quality control.
  • Collecting, pre-processing, and analyzing real-world industrial data to build and validate Machine Learning and Deep Learning models.
  • Conducting technology watches to identify and bring the latest digital innovations into our industrial network.
  • Deploying digital and no-code tools, while collaborating closely with plants to train local teams and ensure successful adoption.

Join Us If

  • You are a current student or recent graduate in Data Science, Artificial Intelligence, Computer Science, Automation, or a related engineering program.
  • You have advanced programming skills in Python (mandatory) for data science, modeling, and scripting.
  • You have a solid grasp of statistics, Machine Learning and Deep Learning, with the ability to turn raw data into actionable insights.
  • You have an interest in industrial systems, Lean Manufacturing, or how digital architectures connect to physical production processes (experience with GCP is a plus).
  • You have a genuine passion for AI and a desire to see your models applied to solve real-world physical and industrial problems, and knowledge in generative AI (VLA-Vision Language Action- is a plus).
  • You are open to travel across our region (Europe) to discover our sites and support local teams on the ground.
  • You have a good level of English and strong analytical thinking skills.

What We Offer

  • Paid internship with an employment contract (from day one) for up to 18 months
  • Monthly performance bonus based on team results, as well as holiday and Christmas bonuses
  • Access to tools used in a global organization focused on innovative solutions and modern technologies
  • Life and health insurance
  • Private medical care at Medicover and a cafeteria benefits platform
  • Free parking
  • On-site canteen
  • Support from an internship mentor and on-the-job training

At Valeo, we focus on diversity – we support it through mentoring programs, training, and local initiatives.

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Senior Software Engineer - SaaS ConnectorsFivetran

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Senior Software Engineer - SaaS Connectors — Fivetran | mentors.coach