Skip to content
Data Engineer

Data Engineer

Senior Data Engineer

HEINEKEN Global Shared Services

Cracowsenior

Apply on the employer's site

Role description

Digital & Technology Team (D&T)
is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!

Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)
As the Senior Data Engineer in the Data Foundation scope, you have in-depth knowledge of the technical details and how the products work, and you will act as an expert in the team responsible for the technical configuration, development and integration of products and platforms based on our tech stack, used by specific business processes across OpCos, to better serve their customers.

You will provide expert guidance and ensure alignment with architecture and business objectives and ensure on-time delivery. You drive the end-to-end operations of the platforms, keeping them streamlined, structured, and within service level agreements. You will collaborate closely with other cross functional teams for efficient development pipelines. You will work directly with the Product Owner(s) and Product Architect(s), receiving pre-defined business requirements and translating them into technical specifications and services in line with overall engineering standards and roadmaps.

You will be expected to be implementing new features, deliver high quality code, follow the agile methodologies and be a team player. The most important part is to be part of the team effort towards value-driven outcomes and the successful completion of tasks. Your proactive approach will be key in maintaining comprehensive documentation and collaborating with your team members through offering help, raising question and actively taking part in all activities. You will serve as a key contributor in refining and driving excellence in engineering practices to deliver high-quality solutions throughout the software development lifecycle in our Data landscape.

The role reports directly to the Data Engineering Lead

Your Responsibilities Would Include

  • coaching and mentoring individual Data Engineers in designing, developing, and delivering scalable, reliable, and high performing big data solutions
  • coaching and mentoring the design, development, and maintenance of scalable data pipelines and ETL processes. Monitor and optimize data infrastructure performance, identifying and resolving bottlenecks and issues
  • coaching and mentoring the team from a technical standpoint, and drive operational excellence, including code reviews, design reviews, testing, and deployment processes
  • being an individual contributor (~60%) engineering the software products/solutions, jointly with the team
  • ensuring that the team adheres to coding standards, best practices, and architectural guidelines, oversee team spirit and team performance, guide and mentor team members
  • overseeing the implementation of the technical architecture, solve immediate technical challenges
  • ensuring that the execution of DevSecOps is in place in the team's daily work
  • inspiring, advising and driving the selection of development approach
  • cooridating software development and address technical debt in the team
  • supporting onboarding, mentoring and developing top engineering talents, fostering a culture of learning, collaboration, and continuous improvement
  • taking Lead when needed in technical discussions with other teams/departments and oversees state-of-art quality of the stack
  • may be involved in cross-functional discussions, representing the domain in broader technical discussions across domains
  • being responsible for designing and improving processes that enhance efficiency and quality.
  • communicating with Engineering Manager, Product Owner and Scrum Master to align on project / sprint goals, timeline and resource allocation.

You are a good candidate if you have:

  • 8+ years of experience in Data Engineering, with a strong understanding of data integration, ETL processes, and data warehousing.
  • hands-on experience and in-depth knowledge of the technologies:
  • proficiency in programming languages such as Python, SQL, and experience with big data technologies like Massive Parallel Processing (MPP) and streaming.
  • cloud platforms (e.g., AWS, Azure, GCP) and compute/data storage solutions (e.g., Databricks, BigQuery, Snowflake).
  • CI/CD processes and tools, including Azure DevOps, Jenkins, and Git, to ensure smooth and efficient deployment of data solutions.
  • APIs to push and pull data from data systems and Platforms
  • understanding software architecture High level Design document and translating them to developmental tasks.
  • Pyspark
  • Microsoft data stack such as Azure Data Factory, Azure Synapse, Databricks and Fabric / PowerBI
  • Apache Kafka or similar
  • Data Modelling & Architecture
  • ETL pipeline design
  • strong understanding and implementation of software development principles, coding standards, and modern architecture
  • familiarity with data governance and compliance standards
  • hands-on experience in implementing and managing End-to-End DataOps / Data Engineering projects in a team
  • proven ability to lead software development teams of engineers with varying experience and adapt to team sizes from small to large
  • experience in working in diverse projects with varying technologies, products, and systems
  • strong problem-solving skills and ability to make critical technical decisions
  • ability to guide / mentor other team members
  • effective communication and interpersonal skills, with the ability to collaborate with technical and non-technical stakeholders.
  • proven ability to demonstrate that can work independently and a self-starter
  • pragmatic, and collaborative team player

Nice To Have

  • Logging and Monitoring using Azure / Databricks services
  • Experience with machine learning and AI technologies

At HEINEKEN Kraków, we take integrity and ethical conduct seriously. If someone has concerns about a possible violation of legal regulations indicated in Polish Whistleblowing Act or our Code of Business Conduct, we encourage them to speak up. Cases can be reported to global team or locally (in line with the local HGSS Whistleblowing procedure) by selecting proper option in this tool or by communicating it on hotline.

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.

Coming to this page

A resume for this role — and a ticket to the draw

We take the posting apart down to the real requirements and rewrite your resume against it — by asking, not inventing: no line appears without your confirmation. Sign in to get it first, and to enter the draw.

  • A resume for this exact role, not a universal one
  • Answers are kept: edit any one, not the whole conversation
  • All in your account — open it from any device

On the wheel

A discount on mentoring

Winners are drawn at random among entries with a confirmed email. The date and the full rules are on the draw page.

Draw rules

Data Engineer

Senior Data Engineer, AI

EPAM Systems

Remotefulltimesenior

Apply on the employer's site

Role description

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.

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

TRANSPORT & DATA ANALYST APPRENTICE

Sonoco

Remotefulltime

Apply on the employer's site

Role description

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.

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

Machine Learning Engineer

Cashea

Remotefulltime

Apply on the employer's site

Role description

¡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!

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

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

Valeo

Remoteparttime

Apply on the employer's site

Role description

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.

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.

673 more openings in this category and country

Senior Data EngineerHEINEKEN Global Shared Services

Apply on the employer's site
Senior Data Engineer — HEINEKEN Global Shared Services | mentors.coach