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NuevaLighthouse
Barcelona, ES
Data Engineer
Lighthouse · Barcelona, ES
. Python Cloud Coumputing Kubernetes Terraform Kafka Machine Learning
At Lighthouse, we’re on a mission to disrupt commercial strategy for the hospitality industry. Our innovative commercial platform takes the complexity out of data, empowering businesses with actionable insights, advanced pricing tools, and cutting-edge business intelligence to unlock their full revenue potential.
Backed by $370 million in series C funding and driven by an unwavering passion for growth, we’ve welcomed five companies into our journey and have surpassed $100 million in ARR in 2024. Our 850+ teammates span 35 countries and represent 34 nationalities.
At Lighthouse, we’re more than just a workplace – we’re a community. Collaborative, fun, and deeply committed, we work hard together to revolutionize the hospitality sector. Are you ready to join us and shine brighter in the industry’s most exciting rocket-ship? 🚀
What You Will Do
As a Data Engineer in our new Data Products team, you will play a key role in shaping the quality and business value of our core data assets. You will be hands-on in designing, building, and maintaining the data pipelines that serve teams across Lighthouse. You will act as a bridge between our data and the business, collaborating with stakeholders and ensuring our data effectively enables its consumers.
Where you will have impact
- Become the expert for key data products, understanding the full data lifecycle, quality, and business applications.
- Design, implement, and maintain the streaming and batch data pipelines that power our products and internal analytics.
- Collaborate directly with data consumers to understand their needs, gather requirements, and deliver data solutions.
- Deliver improvements in data quality, latency, and reliability.
- Show a product engineering mindset, focusing on delivering value and solving business problems through data.
- You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
- Mentor other engineers, sharing your expertise and contributing to their growth.
The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.
Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:
- Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
- Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
- Data Quality: Establishing standards and monitoring the health of all foundational data assets.
What's in it for you?
- Flexible time off: Autonomy to manage your work-life balance.
- Alan Flex benefits: 160€/month for food or nursery.
- Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
- Wellbeing support: Subsidized ClassPass subscription.
- Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
- Impactful work: Shape products relied on by 85,000+ users worldwide.
- Referral bonuses: Earn rewards for bringing in new talent.
- Experience in a data engineering role, with a proven track record of building scalable data pipelines.
- A product engineering mindset, with a focus on understanding business context and stakeholder needs.
- Professional proficiency in Python for data processing and pipeline development.
- Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
- You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
- Excellent communication and stakeholder management skills.
- Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
- Familiarity with data governance or data quality tools such as Atlan or Soda.
- Experience mentoring other engineers.
Mostly, but not limited to: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda.
Thank you for considering a career with Lighthouse. We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. We actively encourage applications from individuals with disabilities and are dedicated to providing reasonable accommodations throughout the recruitment process and during employment to ensure all qualified candidates can participate fully. Our commitment to equality is not just a policy; it's part of our culture.
If you share our passion for innovation and teamwork, we invite you to join us in shaping the future of the hospitality industry. At Lighthouse, our guiding light is to be an equal opportunity employer, and we encourage individuals from all walks of life to apply. Not ticking every box? No problem! We value diverse backgrounds and unique skill sets. If your experience looks a little different from what we've described, but you're passionate about what we do and are a quick learner, we'd love to hear from you.
We value the unique perspective and talents that you bring, and we're excited to see how your light can shine within our team. We can't wait to meet you and explore how we can grow and succeed together, illuminating the path towards a brighter future for the industry.
Sateliot
Barcelona, ES
Junior FPGA & Firmware Engineer
Sateliot · Barcelona, ES
. Python Linux Git IoT Bash Office
WHO ARE WE?
Sateliot is a Barcelona-based Startup in the New Space sector, becoming the first satellite telecommunications operator that will provide global and continuous connectivity to all the elements that will make up the massive Internet of Things (IoT) universe under the 5G protocol.
In order to do so, Sateliot is launching a constellation of last generation nanosatellites, located at low altitude that act as mobile towers. Sateliot is the perfect complement for large telecommunications companies by providing them with the necessary infrastructure where terrestrial technologies do not arrive.
YOUR MISSION
Working within the Payload team, your mission is to support the development of the "brain" of our satellites. Your role is a dynamic 50/50 mix of hardware design (RTL) and low-level firmware development.
You will help design, verify, and interact with the digital logic that powers our payloads, ensuring our satellites can communicate effectively from orbit. We are looking for a Junior Engineer who is hungry to learn, adaptable, and excited to see their code fly.
Your Main Functions
- RTL Design & Simulation: Design and implement digital logic using VHDL or Verilog for Xilinx FPGA architectures. Simulate your designs to ensure reliability before implementation.
- Firmware Development: Write C firmware to interface with the FPGA, managing data flow, control logic, and hardware-software interaction.
- Automation & Scripting: Develop and maintain scripts using Python and Tcl to automate build processes, testing workflows, and lab verifications.
- Hands-on Debugging: Work in the lab with real hardware to debug signals, validate payload performance, and troubleshoot integration issues.
- Future Innovation: Explore and learn next-generation technologies, specifically the Xilinx Versal architecture, to help future-proof our constellation.
Education & Experience
- Bachelor's degree in Electrical Engineering, Telecommunications, Computer Engineering, or a related field.
- Academic or internship experience designing digital circuits using VHDL, Verilog, or SystemVerilog.
- Solid understanding of C programming for embedded systems (pointers, memory management, low-level drivers).
- Demonstrable ability to write scripts in Python or Tcl for automation tasks.
- AI-Augmented Engineering: Experience using AI coding assistants (e.g., Cursor AI, Copilot) to accelerate development and debugging, or a strong willingness to adopt these tools to work smarter and faster.
- Professional proficiency in English.
- A proactive attitude and a genuine passion for Space Tech and 5G.
- Strong problem-solving skills and the ability to work independently when needed.
- Eagerness to learn and share knowledge with the team.
- Basic knowledge of Software Defined Radio (SDR) or Baseband processing concepts.
- Experience writing testbenches (using ModelSim or Vivado Simulator) to verify RTL designs.
- Familiarity with Git version control workflows.
- Comfortable working in a Linux environment and using the command line (Bash).
- Previous exposure to Xilinx tools like Vivado or Vitis.
- A specific interest in Xilinx Versal or AI Engines is a huge plus.
You will be part of one the fastest-growing start-ups in Spain with global reach along getting into the challenging world of New Space & Telecommunication.
Our culture is based on embracing openness by welcoming multicultural talent, being respectful with everybody and being open to exchange ideas. We are also committed to a healthy lifestyle by helping our team balance their work and personal life and also by providing them facilities for healthy habits.
We are a driven team with big goals, that seek for people who are genuinely passionate about their work and that also want to keep learning and getting better personally and professionally!
WHAT DO WE OFFER?
- Full time permanent Contract
- Hybrid Work Model 💻
- Schedule flexibility
- Flat and transparent organizational structure
- Buddy Program to help you with your integration during your first month 🫂
- Flexible compensation package: Tax benefits with ticket restaurant, transportation and kindergarten, training programs.💰
- We promote good physical and mental health, with a Health insurance, Fresh fruit in the office and the possibility of sharing the cost of bicycle transport or gyms.🏋🏻
- Work in a dynamic, multidisciplinary and multicultural environment that will allow you to boost your professional career 🌍
- To be part of a strong, international, friendly and motivated team, where you can progress both personal and professionally 🪴
- The chance to be part of one of the most exciting and disruptive space projects in Europe 🚀
Design Engineer, EU
NuevaAshby
Design Engineer, EU
Ashby · Barcelona, ES
Teletrabajo . React API Node.js GraphQL Kotlin REST TypeScript iOS Swift Redis Office
Hi 👋🏾 I’m Abhik, Ashby's Co-Founder and VP of Engineering. As someone who could design and build software, this position is close to my heart. I always felt I had a unique perspective because I could play with design ideas and iterate in code. My ideas could start in Figma but then be grounded (or sometimes more creative) in code. My prototypes used actual logic and data. My changes cascaded throughout the app for comprehensive critique (thanks, React component system!). But, every company made me pick one —I couldn’t design and build. At Ashby, you can.
While Every Engineer Can Design And Build, You’ll Tackle Our Most Challenging Design Problems And Help Others Improve Their Designs By Expanding And Enhancing Our In-house Design System And Consulting On Bespoke Work. To Ground It With Examples, Engineers Who Can Design At Ashby Have
- Redesigned our mobile web app by talking with customers who use it often, wireframing new flows, implementing its design system, and using it to make the wireframes a reality.
- Built a set of flexible, composable components in our design system that allow other engineers to build custom autocompletes. These autocompletes can contain filters, options to create new records, etc.
- Helped another engineer improve their design's information hierarchy and scannability for viewing a candidate’s assessments. Recruiters can quickly parse information and pick out anomalies.
We have notable customers like Notion, Linear, Shopify, and Snowflake. Our growth and retention metrics are best-in-class among our peers: we have tens of millions in ARR, growing >100% year over year, over 2500 customers, very low churn, and many years of runway. We’ll share more details once we meet, but you now probably have a good idea as to why we're hiring for this role 😅.
What We’re Building
As engineers, we are used to tooling that makes us better at what we do. When we started Ashby, we saw the opposite with Talent Acquisition software. Recruiting teams were leveling up how they did their work, but instead of software meeting this new standard, it held them back.
Scheduling a final round is an excellent example. Recruiting teams wanted to schedule candidates faster, track interviewer preparation and quality, and do it with half the headcount. A recruiter needed to manually collect availability from the candidate, identify qualified interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and make any last-minute adjustments as availability changed. They must do this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 TA software didn’t help.
As hiring managers, we know TA is a critical function, and as engineers, we know software can do better. So, we built and continue to build Ashby to give TA teams the highest standard of tooling. Software that’s intelligent and powerful. Software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We want other functions and departments to be jealous of what TA teams can do with Ashby, and today they often are!
Engineering Culture
Our Engineering Culture Is Motivated By Benji’s (my Co-founder And CEO) And My Belief That a Small, Talented Team, Given The Right Environment, Can Build High-quality Software Fast (and Work Regular Hours!). We Do It Through
- Minimal process with ownership over decisions normally made by product and design
- Natural collaboration and deliberate communication
- Investing in tools and abstractions that give us leverage
- Putting effort into building a diverse team
The best engineers we’ve worked with delivered reliably magical outcomes. They took customer problems and relentlessly drove them to solutions that were not only successful but often brilliant and creative. While they did this with minimal oversight, stakeholders were never in the dark as to what was going on, and no setback was a surprise.
Traditional product-development processes aren’t meant for the best engineers. Their purpose is to create consistent outcomes regardless of the engineer’s skill. But, consistency comes at the expense of an engineer’s time and freedom—both ingredients necessary to generate those magical outcomes. As a result, process stifles the best engineers and doesn’t give others the opportunity to practice the behaviors that made the best engineers the “best.”
At Ashby, we want to build an environment that encourages every engineer to be their best. So, at Ashby, every Engineer runs their project. Product Managers (and Designers) build strategy, do customer research, and hand off problem briefs to Engineers. Engineers take on the rest: they research the problem, write product specs, build wireframes, and implement their solution end-to-end. We rely on engineers, not process, to push information outward to the relevant folks (e.g., Product Managers) and pull folks in to help (e.g., Designers, Infra). It’s a new level of ownership for many engineers, but we’d rather an engineer fail a bit and coach up their skills than use process as a crutch. Not everyone succeeds in our culture, but those who do thrive.
Collaboration is Natural & Communication is Deliberate
Our engineering team consists of lifelong learners who are talented but also humble and kind (meet them here!). These attributes create an environment where collaboration happens naturally. We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers are in <2h meetings per week (I wrote about it here).
To drive it home, here's a recent calendar of an engineer who has been with us for over 4 years:
We also meet in person at least twice a year, once as a department and once as a company. You also have a small budget to meet up with folks in your city/region.
Increase Leverage, not Team Size
We Built Ashby With The Quality, Breadth, And Depth That Many Customers Would Expect From Much Larger Teams Over Larger Time Scales. We’ve Done This Through Investment In
- Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 15x a day. A debugger that works out of the box. Everyone on the team has contributed to our developer experience 💪🏾.
- Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) that we constantly improve. Each improvement to a common component cascades throughout our app (short video below).
Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby:
Put Effort into Diversity
Diverse teams drive innovation and better outcomes. Having seen my mother and partner build their careers as minority women in non-diverse fields, I want to make sure Ashby creates opportunities for the next generation of engineers from underrepresented groups.
Today, 21% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more.
Interview Process
At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together via pair programming, writing product and tech specs collaboratively, and talking through decisions. There are no leetcode or whiteboard exercises.
Our Interview Process Is Three Rounds
- Introduction call with Hiring Manager (15 to 30m, live)
- A technical screen where we pair in our actual codebase (1h, live)
- Three non-coding interviews that focus on product thinking, technical design, and infrastructure (3h 15m, live can be split across multiple days)
Your hiring manager will be your main point of contact and prep you for interviews. Each round will have written guidance so you know what to expect (you’ll need minimal preparation). You’ll meet 4 to 6 people in engineering (with 5-15 minutes in each interview to ask them questions). If we don’t give an offer, we’ll provide feedback!
Your First Three Months at Ashby
We want an exceptional onboarding experience for every new hire. At Ashby, your dev environment is set up with a single script, you push your first product change on day one, and you spend the rest of your time shipping product changes that give you a tour of our codebase and best practices. The product changes increase in scope and ambiguity from simple copy changes to the delivery of a prominent, impactful feature. Your manager will do a 30, 60, and 90-day review to give feedback and calibrate on how we work together.
It’s a team effort to get you successfully onboarded; you’ll have a peer paired with you to answer questions, pair program, and check in often to see if you need help. The rest of the team will run training sessions on our culture, product, engineering process, and technical architecture.
Technology Stack
I’m sharing our tech stack with the caveat that we don’t require previous experience in it (but a love of typed languages is helpful 😀): TypeScript (frontend & backend), React, GraphQL API, Node.js, Postgres, Redis.
When they joined Ashby, many of our engineers switched from other languages like Swift and Kotlin (Ben), platforms like iOS (Tom) and Windows (Sergey). We care more about fundamentals (e.g., debugging, abstractions) and how fast you learn. For folks on the team who switched, it's nice seeing changes hot reload versus waiting for XCode to compile 😅.
Benefits
- Competitive salary and equity.
- 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable.
- Unlimited PTO, and we will encourage you to take it.
- A minimum of 12 weeks of fully paid parental leave, covered by Ashby. For folks outside the US, it may be longer to be in line with regional requirements.
- Generous equipment, software, and office furniture budget. Get what you need to be happy and productive!
- $100/month education budget with more expensive items (like conferences) covered with manager approval.
- If you’re in the US, we offer top-tier health insurance for you and your dependents, with 100% of premiums covered by Ashby. In other countries, we provide high-quality supplemental health insurance for you and your dependents, also fully covered by us.
Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
Applied Scientist
NuevaMicrosoft
Barcelona, ES
Applied Scientist
Microsoft · Barcelona, ES
. Cloud Coumputing Office
Overview
Imagine shaping the future of local search for millions of users worldwide. At Bing Places, you’ll join a team that powers business entity relevance on the search results page. You’ll work on cutting-edge tools and metrics that ensure users find the most accurate and meaningful local results. Our team thrives on innovation, leveraging large and small language models, and advanced measurement systems to deliver exceptional quality.
As a Applied Scientist in Bing Places, you will design new relevance metrics, build labeling pipelines, and fine-tune language models to improve search quality. You’ll work on prompt engineering, implement modern language models techniques like Retrieval Augmented Genaration, and create scalable workflows for measurement and evaluation.
This Opportunity Will Allow You To
- Accelerate your career growth by working on state-of-the-art AI systems.
- Develop deep expertise in prompt engineering and model tuning.
- Hone your skills in building robust data pipelines and quality frameworks.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design and implement new relevance metrics to measure and improve local search quality.
- Develop and optimize LLM/SLM labeling pipelines for high-throughput, consistent quality judgments.
- Engineer and fine-tune prompts for LLMs to enhance query understanding and classification accuracy.
- Apply modern LLM techniques such as retrieval-augmented generation for improved grounding and relevance.
- Build scalable workflows and dashboards for measurement, evaluation cycles, and quality checks.
- Analyze failure modes and improve prompt rubrics to reduce defect rates and enhance labeling consistency.
- Collaborate with cross-functional teams to integrate metrics and labeling systems into production environments.
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND hands on experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Zurich Insurance
Barcelona, ES
Test Automation Engineer Internship
Zurich Insurance · Barcelona, ES
.
We Are Waiting for You
Hi there future intern!
I am Alba Marin , the recruiter for this position (and hopefully, your future colleague!).
First, a little bit about what I like the most about working at Zurich Technology Delivery Center: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can't wait to share this exciting journey with you at Zurich!
Let me take a wild guess: you’ve probably sifted through countless job offers today, and they all seem to blur together. Sound familiar? Well, here’s the scoop: At Zurich, we might not have all the answers (and we’re not striving for perfection!), but we’ve got something special. Curious? Keep reading!
First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier.
Who Are We?
Let me introduce us. You’re reading about Zurich Insurance Group, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). Established in Barcelona in 2006, the TDC operates as an integral part of Zurich Insurance Group, providing cutting-edge technological solutions and support to Zurich's local and global business units.
In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.
If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale.
What can you expect?
And you might be thinking: This is great, what will my day-to-day be like, at TDC? I’m glad you asked – I asked myself the same question at the time.
As a Test Automation Engineer Intern you will have the opportunity to:
- Create Test Automation Strategy, by analysing applications’ roadmap, functional requirements and business needs.
- Analyse results and trends to prevent potential bugs in our platforms.
- Create and maintaining sustainable code, to support projects to early detect issues and helping resolve them.
- Collaborate with different teams worldwide, which will amazingly enrich your experience.
- Be part of an amazing multi-skilled team, where team members support each other.
- Has an active student status with Spanish University/School and is looking for at least 6 months part-time/internship program (mandatory)
- Intends to develop her/his professional career into Test Engineering and become a key resource within Software Development Lifecycle
- Is an enthusiastic, capable, curious person
- Is a great team player, with responsible and can-do attitude
- Has excellent communication and presentations skills, translating business needs into code will be the adventure!
- Paid Internship, up to 30 hours weekly with a flexible schedule.
- LinkedIn and internal training opportunities.
- Special discounts on various brands and products, plus great banking and insurance conditions.
- A welcome pack filled with amazing gadgets.
- A dynamic workspace with tasty coffee and fruit and featuring gaming, gym, and other fun areas!
- Summer and Christmas events and different social clubs such as hiking, investment, beach volley and many more
Where Are We Located?
Barcelona, Poblenou.
We Are Waiting for You.
It’s a match? Don’t wait any longer! Apply by sending your CV in English.
If not, no worries! We’ll meet again in the future. Feel free to share this amazing opportunity with anyone you think would be a great fit.
At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.
Zurich Technology Delivery Center – Your Talent, Our Strength
Why Zurich
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great!
Join us as we constantly explore new ways to protect our customers and the planet.
- Location(s): ES - Barcelona
- Schedule: Part Time
- Recruiter name: Alba Marin Sola
Universia España
Barcelona, ES
DATA CENTERS - Document Controller - Barcelona
Universia España · Barcelona, ES
.
Si quieres iniciar tu carrera en el mundo de proyectos de alto impacto e interés como son los DATA CENTERS y si acabas de titularte o tienes como máximo 3 años de experiencia, esta es tu oportunidad.
La ubicación del puesto será en Barcelona y las responsabilidades para iniciarte en este tipo de construcciones, serán:
- Será el responsable dentro de un equipo de Project Management de la gestión y control de las comunicaciones, documentación, aprobaciones, etc, durante la vida de un proyecto de diseño y construcción.
- Será el responsable de la implantación, formación, coordinación, uso de un sistema o plataforma digital de gestión documental en un proyecto de diseño y construcción industrial.
- Apoyo administrativo, documental, procedimientos al equipo de Project Management.
Anapharm Bioanalytics
Barcelona, ES
Senior Scientist (Study Director) in the Small Molecule Bioanalysis department
Anapharm Bioanalytics · Barcelona, ES
.
Main Duties & Responsibilities
- Manage bioanalytical method development projects, with focus on NCEs, peptides and oligonucleotides.
- Coordinate the validation of analytical methods to quantify drugs, metabolites or biomarkers in biological matrices by LC-MS/MS according to international guidelines.
- Coordinate sample analysis projects, including regulated and non-regulated, pre-clinical and clinical studies.
- Deliver extensive and effective communication with sponsors and timely delivery of results.
- Effectively resolve technical and regulatory issues.
- Organize and line-manage laboratory personnel.
- Actively support Senior Management and participate in strategic projects to optimize procedures.
- Minimum 5-years experience in bioanalytical CROs.
- PhD, MSc or BSc in chemistry or related subject.
- Experience working with NCEs. Also, experience with peptides and oligonucleotides will be highly valued.
- Proven, extensive knowledge of HPLC, UHPLC and mass spectrometry.
- Deep understanding of international bioanalytical guidelines, and experience working under GLP/GCP regulations.
- Excellent level of English (Spanish – nice to have).
- Experience working with LIMS systems.
- Strong communication and organization skills, and capacity to work in teams.
- Proactive and hands-on approach.
- High level of motivation and enthusiastic personality.
- Opportunity to work and contribute to the success of an expanding CRO.
- Solid scientific team with career growth opportunities.
- Cutting edge laboratory with the latest technology.
- International and multicultural environment in company based in Barcelona.
- Diligent, professional organization, with a human touch.
DevOps
Aubay · Barcelona, ES
Teletrabajo Jenkins Ansible DevOps Terraform
Funciones
Monitorización y análisis del rendimiento, automatización de despliegues, gestión de infraestructura, mejora de procesos CI/CD y soporte a equipos técnicos.
Requisitos
Experiencia con Nexthink y/o Dynatrace, conocimientos en DevOps, Terraform, Ansible y Jenkins. Valorable experiencia en automatización e infraestructura como código.
Modalidad híbrida de trabajo en Barcelona (2 días presencial y 3 días teletrabajo)
*Se valorará positivamente certificado de discapacidad del 33%
Se ofrece
En AUBAY seleccionamos un/a DevOps para Barcelona.
Ofrecemos la posibilidad de formar parte de una Compañía en continuo crecimiento, participando en innovadores proyectos que te permitirán completar tu formación y potenciar tus capacidades. Valoramos el compromiso y la dedicación en el trabajo realizado.
En Aubay somos una multinacional de servicios digitales (DSC) fundada en 1998. Actualmente, con un fuerte crecimiento. Operamos en mercados con un alto valor agregado, tanto en Francia como en otras partes de Europa. En Aubay actualmente tenemos 5 000 personas trabajando.
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Machine Learning Scientist
13 feb.Amazon
Barcelona, ES
Machine Learning Scientist
Amazon · Barcelona, ES
Java Python C++ Machine Learning
Are you interested in building the measurement foundation that proves whether targeted, cohort-based marketing actually changes customer behavior at Amazon scale?
We are seeking an Applied Scientist to own measurement and experimentation for our Lifecycle Marketing Experimentation roadmap within the PRIMAS (Prime & Marketing Analytics and Science) team. In this role, you will design and execute rigorous experiments that measure the effectiveness of audience-based marketing campaigns across multiple channels, providing the evidence that guides marketing strategy and investment decisions.
This is a high-impact role where you will build measurement frameworks from scratch, design experiments that isolate causal effects, and establish the experimental standards for lifecycle marketing across EU. You will work closely with business leaders and the senior science lead to answer critical questions: does targeting specific cohorts (Bargain hunters, Young adults) improve efficiency vs. broad campaigns? Which creative strategies drive behavior change? How should we optimize marketing spend across channels?
Key job responsibilities
Measurement & Experimentation Ownership:
1. Own measurement end-to-end for lifecycle marketing campaigns - design experiments (RCTs, geo-tests, audience holdouts) that measure campaign effectiveness across marketing channels
2. Build measurement frameworks and experimental best practices that work across different activation platforms and can scale to multiple campaigns
3. Establish experimental standards and tooling for lifecycle marketing, ensuring statistical rigor while balancing business constraints
Causal Inference & Analysis:
1. Apply causal inference methods to measure incremental impact of marketing campaigns vs. counterfactual
2. Navigate measurement challenges across different platforms (Meta attribution, LiveRamp, clean rooms, onsite tracking)
3. Analyze experiment results and provide optimization recommendations based on statistical evidence
4. Establish guardrails and success criteria for campaign evaluation
About the team
The PRIMAS team, is part of a larger tech tech team of 100+ people called WIMSI (WW Integrated Marketing Systems and Intelligence). WIMSI core mission is to accelerate marketing technology capabilities that enable de-averaged customer experiences across the marketing funnel: awareness, consideration, and conversion.
BASIC QUALIFICATIONS
- PhD in computer science, machine learning, engineering, or related fields
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience building machine learning models or developing algorithms for business application
- Experience with programming languages such as Python, Java, C++
PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience in designing experiments and statistical analysis of results
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