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Data Engineer

Data Engineer

Delivery Manager Data&AI

Elitmind

Remotecontractsenior

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Role description

🚀
Role: Senior
Delivery Manager Data&AI

đŸ”·
Languages:
Fluent Polish & English required

đŸ”·
Location:
100% remote or hybrid - you choose. Join us from anywhere in Poland or visit our offices in Warsaw or KrakĂłw.

đŸ”·
Employment:
B2B

đŸ”·
Salary:
B2B contract 150-200 PLN h/net + VAT

đŸ”·
Long-term cooperation

As a Delivery Manager, you will be responsible for end-to-end management of project delivery for clients - both from an operational and relationship perspective. This role combines project management, client collaboration, and sales support.

What makes you a great fit?

  • Minimum
    5 years of experience
    in IT, Data, Analytics or Digital Transformation project management.
  • Experience delivering Data Platform, BI, AI or Cloud transformation projects.
  • Practical knowledge of Azure ecosystem services, including
    Azure Data Factory
    ,
    Databricks
    and
    Microsoft Fabric
    .
  • Hands-on experience working with
    Agile
    ,
    Scrum
    ,
    Prince2
    or similar project delivery methodologies.
  • Understanding of modern data platform architecture, cloud environments and enterprise delivery standards.
  • Experience working in
    consulting
    ,
    enterprise
    or
    customer-facing
    technology environments.

Soft skills

  • Analytical Thinking

Ability to interpret data, identify trends, and provide actionable insights to drive business decisions.

  • Problem-Solving Skills

Proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy.

  • Effective Communication

Ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration.

  • Attention to Detail

Meticulous in data validation, report generation, and ensuring data quality across BI platforms.

  • Team Collaboration

Strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders.

  • Adaptability and Continuous Learning

Open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.

What will you do?

  • Managing a portfolio of Data/BI /AI projects (end-to-end delivery).
  • Building and maintaining client relationships (C-level / Business / IT).
  • Owning project scope, budget, timeline, and quality.
  • Coordinating the work of consulting and expert teams (Data Engineers, BI Developers, ML Engineers, Architects).
  • Identifying and managing project risks.
  • Supporting sales activities (proposals, estimations, presentations).
  • Implementing and improving delivery standards (methodologies, governance, best practices).

What do we offer?

  • Career Development

Follow a clear development path, benefit from mentoring, earn certifications aligned with your role, and collaborate with technology partners such as Microsoft, Databricks, and Snowflake.

  • Knowledge Sharing

Work with experienced specialists, exchange ideas, and contribute to decisions that shape our projects. Your perspective is part of the conversation.

Conferences and Certifications

Develop your skills through conference trips, training sessions, and certification opportunities organized by the company and aligned with your role.

  • Additional Equipment

Set up your workspace with the tools you need. You can receive additional equipment such as a monitor, keyboard, or other accessories that support your daily work.

  • Flexible Working Hours

Start earlier or later, depending on your routine and when you do your best work.

  • Remote Work

Work from home or another location that suits you, with the flexibility to maintain a healthy work-life balance.

  • Support from Your Leader

Need feedback, context, or guidance? Ask your leader whenever you need support with your work or professional development.

  • Recognition and Rewards

Individual and team achievements that support collaboration, project success, innovation, or business growth may be recognized through our reward programs.

  • Social Events and Sports Activities

Spend time with your colleagues beyond project work through team events and sports activities.

  • Health Insurance

Receive comprehensive health insurance as part of your benefits package.

  • Offices in Warsaw and KrakĂłw

We work mainly remotely, but you can use our offices in Warsaw or KrakĂłw whenever it suits you.

  • Open, Non-Corporate Culture

Work in an open environment where communication is direct and people are approachable, regardless of their role or seniority

  • Employee Referral Bonus

Recommend someone who joins our team and receive a referral bonus of up to PLN 6,000.

Your journey star
t
s here:

1. Initial Screening: If you meet our requirements, our recruiter will reach out to you for a chat about your motivations and expectations. Get ready to share your passion!

2. Technical Interview: Next, you'll be invited to showcase your skills in an interview with one of our technical experts or team members. This is your chance to shine and demonstrate your expertise.

3. Final Interview: Finally, you'll have the opportunity to meet your future Team Lead. This is the perfect moment to learn more about the role, the team, and to ask any questions you might have.

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

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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 Ă©quipements et des services Ă  un large Ă©ventail de marchĂ©s finaux. Avec 22 000 employĂ©s rĂ©partis sur 300 sites de production dans 33 pays.

Sonoco, un des leaders de l'industrie de l'emballage dont l'innovation et le dĂ©veloppement durable sont au cƓur des prĂ©occupations. L'entreprise est le plus grand fabricant europĂ©en d'emballages alimentaires avec des centaines de clients mondiaux et rĂ©gionaux du secteur alimentaire et des produits de grande consommation.

Description
BasĂ© Ă  Saint-Ouen (Paris), l’apprenti analyste de transport et base de donnĂ©es, sous la supervision du Transport & Warehousing Controller, met Ă  jour des bases de donnĂ©es, effectue une analyse de la prĂ©facturation au sein de la division EuropĂ©enne et mets Ă  jour des prĂ©sentations.

MISSIONS DE L’ALTERNANCE

Dans le cadre de cette alternance, les missions suivantes pourront ĂȘtre proposĂ©es :

Mise à jour des bases de données tarif transport

  • Mise Ă  jour des tarifs en fonctions des informations communiquĂ©es par les acheteurs
  • Correction des transporteurs obsolĂštes et des Ă©quipements utilisĂ©s
  • 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 erronĂ©es

Autres taches

  • Extraction des indices fuel EuropĂ©en (IRU)
  • Support ponctuel aux usines sur l'outil de prĂ©facturation
  • Points d'avancement rĂ©guliers de l’apprentissage et des objectifs

Pendant l’apprentissage, l’étudiant(e) dĂ©veloppera des compĂ©tences 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
  • DiplĂŽme universitaire minimum de 2 ans en comptabilitĂ© / contrĂŽle de gestion
  • École supĂ©rieure 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 prĂ©sentation tel que PowerPoint...)

  • Connaissance de SAP est un atout

Langues étrangÚres

  • Français (intermĂ©diaire Ă  bon niveau)
  • Anglais (intermĂ©diaire Ă  expĂ©rimentĂ©)
  • 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 rĂ©glementation des transports) et comprendre la gestion comptable des entreprises.

Savoir ĂȘtre
L’apprenti analyste transport et base de donnĂ©es est rigoureux/(se) et dĂ©montre une bonne aisance relationnelle. Il/elle a la capacitĂ© de s’adapter aux outils, aux procĂ©dures et aux mĂ©thodes de travail.

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

AUTRES

Durée

  • 1 Ă  2 ans, dĂ©but septembre 2026

Avantages

  • Remboursement 75% pass Navigo
  • AccĂšs restaurant d'entreprise
  • Gratification supĂ©rieure au lĂ©gal

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

ÂĄHola! Somos Cashea 👋 y nuestra misiĂłn es devolverle a los venezolanos la oportunidad de acceder al crĂ©dito a travĂ©s de un modelo de negocio
BNPL
(buy now, pay later).

Desde nuestro lanzamiento en 2022, nos hemos dedicado a promover la
inclusiĂłn financiera
. Hoy contamos con mĂĄs de 9 millones de usuarios activos, tanto consumidores como comercios, y nos hemos convertido en una marca de confianza en Venezuela, ganĂĄndonos el corazĂłn 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 producciĂłn siguiendo buenas prĂĄcticas industriales. Responsable de crear herramientas, SDKs y pipelines automatizados que garantizan reproducibilidad, observabilidad y gobernanza de modelos, con enfoque en self-service y autonomĂ­a de equipos de ML. Incluye productizaciĂłn y mejora constante de modelos complejos (bayesianos, ensembles) con estĂĄndares de calidad enterprise.

Responsabilidades

  • Realizar anĂĄlisis de datos ad hoc y presentar hallazgos accionables al equipo.
  • Implementar y mantener monitoreo y alertas sobre indicadores crĂ­ticos.
  • Desarrollar e implementar dashboards que permitan optimizar mĂ©tricas clave.
  • Colaborar dentro del squad en el diseño e implementaciĂłn de soluciones analĂ­ticas 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 producciĂłn (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 producciĂłn con buenas prĂĄcticas y mejorarlos

Técnico:

  • Python avanzado (packaging, testing, documentation)
  • MLflow (registry, tracking server, model serving, artifacts)
  • Modelos bayesianos (PyMC, Stan, o similar) - productizaciĂłn y optimization
  • Docker & Kubernetes bĂĄsico
  • 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)
  • DocumentaciĂłn clara y completa (technical writing)
  • ComunicaciĂłn efectiva con Data Scientists (entender sus pain points)
  • Ownership/AutonomĂ­a

Por qué te encantarå 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 automĂĄtico. 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 mĂĄs importantes.
  • Tu voz importa. Escuchamos y abrimos espacio para las ideas y el feedback. AquĂ­ 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 Ășltimo, pero no menos importante, nos enfocamos en el impacto real. Todo lo que hacemos estĂĄ destinado a marcar la diferencia.

ÂżTe identificas?
ÂĄPostĂșlate ahora, nos encantarĂ­a 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

Delivery Manager Data&AIElitmind · Poland

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