Ofertas de empleo de Ingeniero/a de Machine Learning

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. API Python Machine Learning OCR

Our client: Most of the assets they work on resist easy valuation — distressed Spanish loans, repossessed property, the kind of paper the market struggles to price. Our edge is a proprietary corpus of Spanish judicial and financial documents that no foundation model has ever seen, and the machine-learning systems they build on top of it. They are a ~25-person firm that analyzes and advises on Spanish real estate and distressed debt (NPL/REO), and two of those systems sit at the center of the business.

This is a junior role with the reach of a much larger one. As an early, high-impact hire, you would work across both systems — modeling and document AI — as one connected role, not two jobs. What you build shapes the analysis we stand behind and reaches real decisions in days, not quarters. You would work shoulder-to-shoulder with a sharp, multidisciplinary team: engineers, analysts, and specialists in finance and law.

WHAT YOU'LL BUILD

Pricing what almost nobody can price

Predictive and quant models across thousands of Spanish loan and property records — asset valuation, portfolio-performance forecasting, feature enrichment, tabular and time-series modeling. The numbers you produce guide real capital, so evaluation and calibration are where the craft lives.

Teaching a model to read a courtroom

Legal and judicial documents — multi-column, table-dense PDFs where layout and position carry meaning, not flat text — turned into clean, structured data. OCR, layout-aware extraction, NER, and LLM fine-tuning and evaluation. You would weigh the trade-offs that decide whether extraction is dependable or merely demo-ready: OCR + LayoutLMv3 versus OCR-free approaches (Donut, TrOCR) versus vision-language models.

You would own work across both systems end to end — training, evaluation, deployment, and monitoring, in production rather than in notebooks. It is an unusual amount of scope for an early-career engineer, and you will grow into more of it quickly.

WHAT THIS ROLE IS, AND IS NOT

• Real, production machine learning the business runs on — not a research sandbox, and not a thin wrapper around someone else's API.
• Collaborative and consequential: you build alongside talented people on work that matters, not a queue of tickets someone else has scoped.
• Honest about the data: it is genuinely messy, and structuring it is part of the craft — the ambiguity is where the interesting problems live. You will have real infrastructure, experiment tracking, and an evaluation harness to build on.

WHAT THEY OFFER

• Genuine flexibility on where you work: fully on-site in Barcelona or any hybrid split — and the number of days is yours, not a policy.
• A competitive salary for the Barcelona market, discussed openly.
• A real learning budget — books, courses, and conferences.
• A flexible-remuneration plan covering meals and transport.
• The rarest perk: a domain almost no ML engineer gets to touch, and the scope to own it early.

HOW TO APPLY

Their process is short and transparent: an initial questionnaire, 30-minute call with the person you would work with, then two or three conversations and a decision within about two weeks.

Requirements:

• Solid Python and a real grounding in machine learning (PyTorch, scikit-learn, pandas, Hugging Face).
• Evidence that you build and finish things, and that you reason carefully about why a model works or fails.

You do not need years of experience — recent graduates and self-taught engineers are welcome. A degree helps; something real you have built counts for more.

Pluses:

• Document-AI experience (LayoutLM, Donut, TrOCR) or LLM fine-tuning.
• Spanish or Catalan.
• Any exposure to finance, legal, or real-estate data.

Sof-skills:

Curiosity, precision, and clear communication

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Agile

This AI & data analytics consulting firm seeks an agile Palantir Foundry Engineer to design and deploy complex industrial…

• Nivel de experiencia---
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. Java Python Agile TSQL Docker Cloud Coumputing Scala AWS Kafka Spark

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Are you a Data engineer looking to join a leading technology company to build products and features? Are you passionate about data and everything it powers? Are you ready to help people travel, go from anywhere to somewhere, possible? If this sounds like you, keep reading!

Introduction to team

Expedia B2B is the B2B arm of Expedia Group. We provide the scale, innovative technology and supply of Expedia Group to businesses looking to take on the world of travel. Through these partnerships we power experiences for millions of consumers globally, helping drive brand loyalty and growth for our partners, and Expedia Group.

We're constantly looking for opportunities to improve the breadth and depth of the products we offer. From a strategic standpoint, our ambition is to unlock the power of Expedia for partners. Our mission is to fuel our partners’ growth through our unparalleled technology, travel supply and support services. We are about travel, but also about state-of-the-art technology, AI and ML. Data is our underlying foundation, and the only way to operate at our immense scale is to develop our own technologies and use cloud capabilities on positive and exciting test and learn environment.

As today, the streaming platform ingests more than 3.6b domain event messages per day, 11.5 TB, that we enrich and transform, making it available for all internal functions, people and services.

If you are someone with a growth mindset and love solving complex and challenging problems, come join us on this exciting journey.

In This Role, You Will

• Developing various facets of data capture, data processing, storage, distribution and visualization
• Understanding and applying AWS standard methodologies and products (compute, storage, databases)
• Writing clean, maintainable and well-tested code
• Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency)
• Communicating and documenting solutions and design decisions
• Proposing new ways of doing things and contribute to the system architecture
• Be part of an agile team that is continuously learning and improving.
  
  

Experience And Qualification

• Experience with at least one modern programming language (e.g. Scala, Python or Java etc)
• Experience delivering and supporting highly available and scalable solutions with large transaction volume
• Experience in working with Relational Databases and proven knowledge of SQL
• Experience of using cloud services (e.g. AWS)
• A passion for learning, especially in the areas of data, technology, service design patterns and system architecture
• Be self-motivated with drive and good organizational skills to work in a multi-disciplinary team.
  
  

Our Team Really Enjoy

• A friendly and collaborative team who are keen to share their knowledge and constantly learn new things
• A bias for action
• You will get the opportunity to work on a cloud-based data lake backed by the full suite technologies and including Kafka, Spark, Scala, Airflow, Hive, Kinesis, EMR and Docker.
  
  

The total cash range for this position in Madrid is €43,000.00 to €60,500.00. Employees in this role have the potential to increase their pay up to €69,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits And Perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life.

You can find the benefits for this location and any collective agreement that may apply here.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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Teletrabajo . API Python Azure Cloud Coumputing REST SQL

🤗 #BEPARTOFTHEGROWTH ALTIA

Somos un equipo de 4.000 profesionales que creamos soluciones digitales preparadas para el futuro, capaces de generar valor real y provocar cambios significativos.Repartidos en más de 30 localizaciones de 10 países, sumamos nuestra energía aplicando nuestra visión innovadora de la tecnología a proyectos para más de 1.000 organizaciones que son motores del cambio.Llevamos 30 años con un propósito: crecer haciendo crecer, y hacerlo, además, de forma sostenible y duradera. Tenemos claro que solo seremos importantes si juntos aportamos un impacto positivo y todos evolucionamos en el proceso.Queremos estar siempre cerca de nuestros clientes, evolucionando juntos y aprovechando al máximo las oportunidades.

🚀 #SEEKINGYOU En ALTIA seguimos creciendo y buscamos un/a Data Engineer Azure / Databricks para unirse a nuestro equipo de Data Analytics. Se trata de un proyecto estable, indefinido y de gran envergadura en el que te encargarás del desarrollo de productos de datos dentro de la plataforma corporativa global.

⭐ ¿QUÉ TENEMOS PARA TI?

• Modelo de trabajo híbrido o remoto.
• Formar parte de una empresa en crecimiento, donde la innovación y la calidad son nuestras prioridades.
• Horario estándar Altia con flexibilidad y jornada de verano.
• Puesto estable con contrato indefinido y perspectivas de crecimiento según tus intereses profesionales.
• Plan de formación continua que te permitirá evolucionar en tu carrera profesional.
• Formarás parte de un equipo consolidado y con experiencia.
• Retribución flexible y competitiva.
  
  

¡Impulsa tu carrera con nosotros y alcanza tus metas profesionales!

¿Te ha parecido interesante? ¡inscríbete en la oferta!

#BePartOfTheGrowth

Requisitos mínimos

Buscamos a una persona autónoma, con capacidad de interlocución y atención al detalle, que aporte:

• Al menos 5 años de experiencia profesional como Data Engineer.
• Mínimo 3 años de experiencia específica con Databricks, desarrollando procesos ETL/ELT eficientes y escalables.
• Experiencia real en desarrollo e integración con Unity Catalog.
• Mantenimiento avanzado de tablas Delta Lake (optimización, particionado, patrones merge/append y dimensiones lentamente cambiantes - SCD2).
• Sólido dominio de Python, PySpark, SparkSQL y T-SQL.
• Experiencia en orquestación de flujos con Azure Data Factory.
• Experiencia integrando fuentes de datos de distintos sistemas y formatos (REST API, bases de datos relacionales, ficheros JSON, Parquet, Delta, etc.).
• Conocimientos de infraestructura y servicios cloud en Microsoft Azure.
• Certificación obligatoria Databricks (Databricks Certified Data Engineer Associate o Professional).
• Inglés nivel C1 (imprescindible para el entorno internacional del proyecto).
  
  

La presente oferta de empleo está redactada teniendo en cuenta la imparcialidad y no discriminación por razón de género, raza, ideología o cualquier otro motivo. Especialmente, se tiene en cuenta el respeto a la normativa vigente relativa a la igualdad de género entre mujeres y hombres (Real Decreto-ley 6/2019).

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. TSQL Cloud Coumputing DevOps Kafka Spark Machine Learning

We power people’s progress.

At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it’s creating real impact.

We’ve just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we’re only getting started. As a category-defining company, we’re shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.

Meet the team!

At Preply, the Data ingestion and enrichment team provides a single, trusted, and scalable data foundation. The team ensures that all analytics, machine learning, and product features are built on unified, governed, and production-grade data assets in Preply’s Lake House, including the extraction, normalization, and generation of structured data from Preply’s unstructured assets, forming a durable data moat for AI-driven products.

As a Senior II Data Engineer in the Data Ingestion and Enrichment team, you will own and drive technical vision for the data layer that powers both Preply’s analytics, machine learning, and product. You will work closely with ML Platform, Applied/Data Scientists, Analytics Engineering, and Product squads to ensure that features, datasets, and pipelines are production-ready, observable, and reusable across the company. This role combines hands-on engineering with technical leadership. You will drive cross-functional initiatives involving stakeholders from different functional areas and different levels of seniority.

What you’ll be doing:

Build trusted ingestion & enrichment foundations (Data Lake and Data as a Product):

Design, build, and own Preply’s data lake. Ensure every dataset has clear ownership, purpose, schemas, and quality expectations from first ingestion through downstream consumption by analytics, product, and ML teams. Treat trust, correctness, and predictability as first-class features of the platform.

Own end-to-end ingestion pipelines (batch & streaming):

Develop and operate scalable, reliable batch and streaming ingestion pipelines that support both real-time and analytical use cases. Design clear raw → standardized → consumption layers with explicit responsibilities, lineage, and retention strategies. Balance performance, cost, and reliability as the platform scales.

Data quality, contracts & early validation:

Define and implement data contracts between producers and consumers, covering schema, freshness, volume, and quality guarantees. Embed validation, anomaly detection, and quality checks early in the ingestion lifecycle to catch issues before they propagate. Standardize how quality metrics are measured, monitored, and surfaced across the platform.

Enrichment, modeling & lifecycle management:

Build enrichment logic that joins, standardizes, and contextualizes data across domains using shared definitions and reusable patterns. Support historical tracking, point-in-time correctness, and dataset versioning so downstream users can confidently analyze changes and impacts over time.

Observability, reliability & operational excellence:

Instrument ingestion pipelines with strong observability: freshness, latency, data quality, and cost metrics. Contribute to SLOs, alerting, and incident response playbooks so data failures are visible, diagnosable, and recoverable. Help move the platform from reactive firefighting to proactive reliability management.

Governance & compliance by design:

Apply consistent access control, classification, and privacy protections at ingestion time. Ensure sensitive data is properly masked, minimized, or anonymized by default, and that all data flows are auditable and traceable. Make governance invisible to users but deeply embedded in platform workflows.

Enable self-service & standardization:

Contribute to standardized ingestion templates, shared libraries, and platform tooling that enable teams to onboard new data sources independently within clear guardrails. Improve discoverability, documentation, and metadata so datasets are easy to find, understand, and trust without relying on tribal knowledge.

Cross-team collaboration & ownership:

Work closely with Product, Backend, Analytics, and ML partners to align on ingestion requirements, trade-offs, and priorities. Promote shared ownership of data quality and platform standards, and help foster a culture where teams move fast together under common data contracts and principles.

What you need to succeed:

• Driving architectural patterns of a large, high-scale application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
• Solid experience working in platform or data engineering teams (or equivalent impact) with evidence of leading multi-stakeholder deliveries.
• Familiarity with cloud platforms (AWS/GCP or equivalent) and modern DevOps practices.
• Hands-on experience designing and implementing real-time and batch data processing infrastructures using modern frameworks like Spark, Flink, Spark streaming, Kafka, Debezium, etc.
• Expertise with orchestration tools such as Airflow, dbt, or similar.
• Exceptional problem-solving skills paired with a proactive, innovative mindset focused on continuous improvement.
• Strong communication and cross-functional collaboration skills (English level B2+)
  
  

Nice to have:

• Proven track record in scaling data infrastructures within fast-growing startups
• Terraform/Kubernetes for data tooling
• SQL proficiency
  
  

Why you’ll love it at Preply:

• An open, collaborative, dynamic, and diverse culture.
• A generous monthly allowance for lessons on Preply.com, a Learning & Development budget, and time off for your self-development.
• A competitive financial package with equity, leave allowance, and health insurance.
• Access to free mental health support platforms.
• The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).
  
  

Our Principles

• Care to change the world - We are passionate about our work and care deeply about its impact to be life changing.
• We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.
• Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
• Now is the time - In a fast-paced world, it matters how quickly we act. Now is the time to make great things happen.
• Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilize our resources efficiently.
• Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions.
• Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks.
• Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high-performing teams that can make a real difference.
• Challenge, disagree and commit - We value open and candid communication, even when we don’t fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made.
• One Preply - We prioritize collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress.
  
  

Diversity, Equity, and Inclusion

Preply.com is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company. That means that Preply will consider all applications for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.

• Nivel de experiencia---
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• PublicadaNueva

. Python Kubernetes AWS PostgreSQL Machine Learning

Straumann Group

At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.

About The Role

We are looking for a Senior Data Platform / Data Engineer to join our ML Platform team and help build and scale the data infrastructure that powers our AI products in dentistry. Our platform supports the full AI development lifecycle, from raw data ingestion and annotation workflows to dataset versioning and model training pipelines. You will work closely with Machine Learning Researchers (MLRs), MLOps engineers, and product teams to ensure our data infrastructure is reliable, scalable, and easy to use.

A key focus of the role is improving our Data Lakehouse (DLH) and dataset management workflows, including dataset versioning (DVC) and improving how data is prepared, extracted, and consumed across research and production systems.

What You Will Work On

You will play a key role in shaping the next generation of our data platform.

Typical Responsibilities Include

Data platform ownership

• Design and evolve the Data Lakehouse (DLH) architecture used across our ML teams.
• Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
• Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.
  
  

Dataset lifecycle management

• Improve workflows for dataset versioning and reproducibility using tools such as DVC.
• Design solutions for managing multiple versions of datasets and annotations across experiments and models.
• Improve the ability for researchers to retrieve the correct dataset versions reliably.
  
  

Data pipelines and infrastructure

• Build and maintain scalable data pipelines in Python.
• Improve metadata management, dataset validation, and data quality monitoring.
• Optimize data workflows across AWS-based infrastructure.
  
  

Collaboration with ML teams

• Work closely with ML researchers and ML engineers to understand their data needs.
• Support research workflows with reliable and efficient data access patterns.
• Help translate research requirements into robust platform capabilities.
  
  

Data governance and quality

• Implement practices for data quality, reproducibility, and traceability across the ML lifecycle.
• Ensure our data infrastructure meets the requirements of regulated AI development.
  
  

Must Have

What we’re looking for:

• Strong Python engineering skills
• Experience building data pipelines or data platforms
• Experience working with AWS
• Experience working with large datasets used in ML workflows
• Strong software engineering practices (testing, CI/CD, documentation)
• Experience collaborating with ML teams or working in AI environments
  
  

Nice To Have

• Experience with dataset versioning tools such as DVC
• Experience with Kubernetes
• Experience with data lakehouse architectures
• Experience working with annotation pipelines or ML training datasets
• Experience with PostgreSQL, Metabase, or similar data tooling
• Experience working in regulated environments (medical / healthcare AI)
  
  

Our stack

• AWS
• Python
• Kubernetes
• PostgreSQL
• Metabase
• DVC for dataset versioning
• Internal Data Lakehouse infrastructure
  
  

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type: Full Time

Alternative Locations: Spain : Madrid

Travel Percentage: 0 - 10%

Requisition ID: 20071

20071

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. Linux SOA REST SOAP ERP

Barcelona, Spain or Daventry, UK

Build your Career with an Industry Leader

For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world’s most iconic and recognizable brands. Our labels elevate emotional connections with consumers and help brands stand out in competitive markets. With more than 12,000 teammates in 25+ countries, we come together to make our industry-leading work possible and bring our True Colors to life. Join us at MCC, where every product is Labeled with Care. Learn more at mcclabel.com.

As a member of the IT Global Enterprise Integration, you will be responsible for supporting, reviewing, analyzing, and evaluating business systems and user needs, documenting those needs, defining detailed business requirements, processes, and functional designs, developing, and executing test plans, issue resolution with a 3rd party vendor, testing and defect resolution/triage, and conducting business change management. You will be engaged in technical writing specifically related to delivering Use Cases, design documents, project plans, feasibility analysis, testing plans, deployment plans and training documents.

Primary Purpose

The primary purpose of this role is to:

• Operate as a liaison between multiple work streams to effectively integrate Enterprise Systems by programming automated Boomi ETL data translations that incorporate Business Rules.
• Work with other teams on Projects to design mapping & translation processes that will optimize the Enterprise Integration Platform.
• Design, Develop, & Build integration code along with providing Specifications and Working Documentation.
• Work with the testing team to help develop and execute testing plan.
• Assist with Integration Planning, Integration Execution.
• Integration Support (Implementation thru Post Go Live).
  
  

The Role

• Provide tangible value by interpreting business problems into cost effective solutions leveraging technology, automation, and improved business processes.
• Interact with Business Units & Customers to evaluate business problems and provide cost saving solutions.
• Leads requirement gathering sessions for Boomi Integrations to define solutions, document specifications, and develop use cases for New Integrations and Integration Change Requests.
• Provides structure to development projects with Project Management, Cost Analysis, Life Cycle management and appropriate monitoring and documentation.
• Assume Boomi support and management responsibility of designated application. This will include day-to-date activities, maintenance activities (i.e. upgrades, changes, security), applicable documentation and training materials development, user training and identifying ways to further enhance and/or optimize particular area
• Systems Optimization: Performance Monitoring and Tuning
• Systems Maintenance: New version Upgrades, Security, and Testing
• Disaster Recovery Planning and Plan Management
• Improve development and project deliverable lead times through organized development practices, project management, accurate requirements gathering, interactive prototyping, and structured test plans.
• Document required documentation that aligns with best practices & established standards
• Maintain the latest documentation versions current and validate for accuracy & integrity.
• Clearly interpret business requirements to developers and interpret systems to users.
• Develop testing test plans and work instructions\procedures for all related systems.
• Provide 2nd Tier support to Service Desk as a Subject Matter Expert (SME).
• Resolve assigned Incidents and respond within prescribed SLA.
• Ensure accuracy of Knowledge Base articles for selected applications and systems.
  
  

About You

• Bachelors degree in IT, Computer Science/Engineering. MIS, CIS, or equivalent job experience.
• Substantial experience in Business Systems Analysis, Systems Integrations, Project Management, Systems Development, or ERP/EDI/ETL Support.
• Proven experience in technical writing and team leadership required.
• Considerable working knowledge of:
• Boomi Integration Platform Design and Development
• Database Scripting & Stored Procedures: PLSQL/SQL or similar
• Programming: VB or VB.net Scripting or similar
• ERP Systems: Globe-Tek, Radius, SAP or similar
• SOA Integration Methodologies: APIs, REST, SOAP, XML, JSON
• EDI Standards ANSI ASC X12 or UN/EDIFDCT
• A good understanding of systems development life cycles and requirements gathering is desired.
• Previous experience within a manufacturing environment, supporting Integrated ERP systems for a distributed organization, is highly desirable.
• Experience eliciting requirements from multiple business stakeholders
• A understanding of technical design issues as this is a technical role
• Excellent critical thinking and troubleshooting skills, ability to find and solve root causes of problems
• Interpersonal skills along with the ability to work in a team
• Effective in verbal and written communication skills
• Effective Technical writing skills
• Experience supporting applications on Windows or Linux Servers
  
  

Additional Information

To apply for this role you must already have the right to live and work in either Spain or the United Kingdom and have the ability to travel unrestricted within the European Union. Visa sponsorship is not provided.

This role is hybrid-based with occasional on-site meetings with the team. You should therefore be located within a reasonable travelling distance of one of our offices in either Barcelona, Spain or Daventry, UK.

As an American-owned company with multi-national operations, our main language for cross-border collaboration and communications is English. As such, the ability to speak fluent business English is essential for this role and all applications must be made using the English language.

For over a century, Multi-Color Corporation (MCC) has crafted premium labels for the world’s most iconic and recognizable brands. Our labels elevate emotional connections with consumers and help brands stand out in competitive markets. Honoring our rich history as a market leader, we focus on the future by developing sustainable packaging solutions and consumer-driven innovations.

MCC combines global reach with the personalized touch of local service through our network of facilities across 25+ countries. More than 12,000 teammates come together to make our industry-leading work possible and bring our True Colors to life. Join us at MCC, where every product is Labeled with Care. Learn more at www.mcclabel.com.

If you need assistance or an accommodation in applying, please contact our Human Resources Department at [email protected].

Multi-Color is committed to providing equal employment opportunities and prohibits discrimination based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada11 jul.

. API REST

R&D Data Engineer

Ubicación: Huelva (presencial, jornada completa)
Empresa: Planasa Spain

Introducción

En Planasa Spain somos líderes internacionales en mejora genética, desarrollo y multiplicación de variedades de berries (arándano, frambuesa, fresa y mora), así como de ajo, espárrago, aguacate y cerezo. Desde 1973 combinamos fitomejoramiento tradicional con tecnologías modernas para ofrecer soluciones de alto valor añadido a productores de todo el mundo.

Buscamos un/a R&D Data Engineer que se una a nuestro equipo de I+D para impulsar la transformación de nuestros datos científicos en activos estratégicos, asegurando que sean FAIR (Fáciles de encontrar, Accesibles, Interoperables y Reutilizables). Serás responsable de diseñar y automatizar procesos de datos escalables y de garantizar un Lakehouse de alto rendimiento, optimizando la ingestión y facilitando la colaboración entre perfiles científicos, técnicos y de negocio.

Es una excelente oportunidad para un/a ingeniero/a de datos con experiencia que quiera trabajar en un entorno innovador, cercano al mundo de la biotecnología y la mejora vegetal, con impacto directo en decisiones de I+D a nivel global.

Responsabilidades

1. Ingeniería de datos y ETL

• Diseñar, desarrollar y mantener flujos de trabajo y canalizaciones de datos automatizados, en colaboración con analistas de datos, breeders (criadores) y bioinformáticos.

• Mantener y evolucionar las canalizaciones de datos utilizando Microsoft Fabric Data Factory.

• Optimizar los procesos de ingestión, particionado, gestión de tablas Delta y rendimiento general del Lakehouse, garantizando tiempos de respuesta adecuados para el análisis.

• Desarrollar e integrar conexiones con bases de datos externas mediante APIs (REST API), asegurando la robustez y seguridad de los intercambios de datos.

• Velar por el cumplimiento de los modelos de datos, esquemas y convenciones de nomenclatura corporativos en todos los procesos de ingestión y transformación.

• Implementar y mantener controles de calidad de datos, asegurando altos niveles de precisión, completitud y consistencia.

2. Gestión y soporte de la base de datos de I+D

• Dar soporte técnico a los usuarios de la base de datos (científicos, técnicos, analistas), resolviendo incidencias y consultas relacionadas con el uso y la calidad de los datos.

• Gestionar la incorporación de nuevos usuarios, incluyendo formación básica en uso de la base de datos y buenas prácticas de gestión de datos.

• Coordinar con usuarios clave la implementación de nuevas funcionalidades de la base de datos, recogiendo necesidades y priorizando mejoras.

• Asegurar que el feedback de los usuarios se traduzca en acciones concretas, en colaboración con proveedores de servicios de bases de datos y con el equipo de TI.

• Contribuir a que los datos de I+D sean FAIR, promoviendo estándares, documentación y procesos que faciliten su búsqueda, acceso, interoperabilidad y reutilización.

3. Orientación a resultados y mejora continua (KPIs)

• Reducir el tiempo entre la generación de datos y su disponibilidad para el análisis en el Lakehouse.

• Incrementar el porcentaje de procesos de ingestión y transformación totalmente automatizados.

• Mejorar el grado de cumplimiento de los conjuntos de datos con los modelos, esquemas y normas de nomenclatura de la empresa.

• Aumentar la puntuación de calidad de los registros de la base de datos verificados según los controles establecidos.

Requisitos imprescindibles: Inglés Avanzado (C2); Máster en Informática, Ingeniería de Sistemas o Ciencia de Datos. Ubicación presencial en Huelva.

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada10 jul.

. Python Cloud Coumputing Spark

Descripción de la oferta

Data Engineer Python / Palantir (100% remoto)

Descripción

¿Quieres formar parte de un proyecto de datos de alto impacto trabajando con una de las plataformas más demandadas del mercado? Buscamos un/a Analista Senior / Consultant con experiencia en Palantir y proyectos de ingeniería de datos para participar en iniciativas de transformación basadas en datos.

Condiciones

• Contrato: Indefinido
• Lugar de trabajo: Málaga (100% remoto)
• Horario: Jornada completa.
• Salario: En función de la experiencia
  
  

Qué harás

• Participar en el diseño e implantación de soluciones de datos sobre Palantir.
• Desarrollar procesos de ingeniería de datos utilizando Python y Spark.
• Diseñar y optimizar procesos ETL.
• Definir y mantener modelos de datos eficientes y escalables.
• Garantizar la calidad del dato mediante controles y validaciones.
• Crear visualizaciones y facilitar el consumo de información por parte del negocio.
• Productivizar soluciones de datos asegurando su mantenimiento y evolución.
  
  

Requisitos

Imprescindible

• Experiencia como Analista Senior o Consultant en proyectos de datos.
• Experiencia sólida con Palantir.
• Conocimientos avanzados de Python.
• Experiencia con Spark.
• Desarrollo de procesos ETL.
• Modelado de datos.
• Data Quality.
• Data Visualization.
• Experiencia en productivización de soluciones de datos.
  
  

Deseable

• Experiencia en entornos cloud.
• Buenas prácticas de desarrollo y versionado.
• Capacidad para interactuar con equipos multidisciplinares y negocio.
  
  

Grupo Digital

Somos un equipo de más de 100 profesionales tecnológicos, en el que encontraras proyectos estables, en los principales clientes nacionales e internacionales, desarrollando soluciones de Inteligencia Artificial, Cloud, Ciberseguridad, etc.…

Nos comprometemos estar a tu lado en todas las fases del proyecto, para asegurarnos que creces profesionalmente con nosotros, y que tu aportación cuenta.

¿Quieres estar al día con las últimas tecnologías y buscas nuevos desafíos? ¡Envíanos tu CV y nos ponemos en contacto contigo!

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