Everything happens somewhere — which is why spatial analytics is fundamental to companies trying to understand the "where" and the

"why" of their business. CARTO is the world's leading cloud-native spatial analysis platform, trusted by data scientists,

analysts, and developers from global brands like IKEA, Coca-Cola, T-Mobile, Swiss Re, and AXA to run scalable spatial analysis

directly on their cloud data warehouses and lakehouses.

Built by a diverse team of over 150 people across the US, APAC, and Europe (backed by Insight Partners, Accel Partners, Salesforce

Ventures, and Earlybird Ventures), CARTO is fundamentally changing how location data is analyzed — making it an integrated,

accessible, AI-native part of modern data infrastructure.

THE ROLE

Spatial analytics is moving out of the GIS silo. It's moving into the warehouse, then into the lakehouse, then into Iceberg and

open formats, and increasingly into agentic workflows where the consumer is no longer always a human. We're looking for an

engineer who has been part of building that shift, to come help us lead where it goes next at CARTO.

This role sits across CARTO's Analytics Toolbox and Workflows — the two surfaces through which our spatial analytics runs on

partner engines (BigQuery, Snowflake, Redshift, Databricks, Postgres, Oracle) and, increasingly, on open formats consumed by

external agents and applications. You'll define how the Toolbox framework evolves, how analytics capabilities are deployed across

heterogeneous engines, and how CARTO plugs into the cloud-native geospatial stack — GeoParquet, STAC, Arrow, Iceberg, RaQuet, and

what comes next.

We don't think of this as a feature-shipping role. We think of it as a vision-and-execution role: someone who can write the

strategy doc and own the PR that proves it works.

WHERE YOU'D SIT

You'd work alongside the Workflows team (backend, frontend, data engineering, QA — six people today, growing) and the broader

Spatial Analytics group, with significant scope to shape the technical direction of both.

This is a remote-first role open to candidates based anywhere in Spain. Offices in Madrid and Seville are available if you want

them, not required.

Roll

Senior Software Engineer — Spatial Analytics & Open Formats

Kategori

Other

Plats

Spain

Publicerad

18 juli

Sista ansökningsdag

17 augusti

Källa

Arbetsförmedlingen

Liknande jobb

Mid-Level Software Engineer

Ledgy•Spain

At Ledgy, we’re on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. In 2026, we aim to be the leading provider for European IPOs and reporting for share-based payments. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users. We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B [https://techcrunch.com/2022/09/21/ledgy-a-carta-for-european-startups-to-manage-equity-and-cap-tables-raises-22m-from-nea-sequoia-and-more/] round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board. We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages. About the role As a Mid-level Software Engineer at Ledgy, you’ll build reliable, scalable product experiences that help companies manage their equity with confidence. You’ll work closely with experienced engineers, product managers, and designers to turn complex equity workflows into clear, automated, user-friendly software. This role is a strong fit if you’re ready to take ownership of well-scoped projects, grow your technical judgement, and contribute across the stack while learning from senior peers. Location: We hire remotely across the UK, Spain, Germany, Poland, and Romania. For candidates based in London, we use a hybrid model with 2 days in the office per week. Teams we are hiring for: * Core Equity — Owns the foundational logic that powers Ledgy’s equity engine. Every equity-related event — such as issuing shares, creating new pools, or adjusting ownership — generates transactions. This team defines and maintains the transaction logic, data model, and core domain behaviour that ensure Ledgy’s platform remains accurate, scalable, and compliant. They also enable employees to sell their shares seamlessly once vested. * Workflows & Automation — Focuses on automating complex equity workflows and integrating with third-party services, including the trading exchange. The team builds systems that help company admins efficiently onboard and offboard employees, automate equity grants and terminations. * Reporting — Transforms Ledgy’s core equity data into financial, operational, and compliance reports. The team manages large, complex datasets and ensures reporting is accurate, performant, and reliable across jurisdictions and company structures. Their work powers the insights companies and auditors rely on for decision-making and transparency. * Tax — Ensures taxes are correctly reflected throughout equity operations, especially moments such as exercising, selling, mobility, and other taxable events. As a future team, Tax will build end-to-end product capabilities across the stack, helping customers manage complex tax and compliance requirements accurately across jurisdictions. You will thrive in the role if you * You have 3+ years of experience working as a Software Engineer * You are comfortable building and shipping production-quality features across the stack * You enjoy learning complex domains and turning them into simple, maintainable product experiences * You care about clean, tested, readable code and thoughtful collaboration * You are curious about equity, financial workflows, and their real-world impact on companies and employees * You’re excited to grow your technical judgement through code reviews, pairing, and architecture discussions * You take ownership of your work while asking for input early when trade-offs are unclear Our Tech Stack*: We have a modern, cohesive stack that lets us move fast while maintaining quality: * Language: TypeScript * Frontend: React, Tailwind CSS, tRPC * Backend: tRPC, Node.js, MongoDB, Temporal * Infrastructure: GCP, Terraform Cloud, Kubernetes, Docker, GitHub Actions *We don’t expect proficiency in this specific stack What Your Journey Could Look Like First 30 days: * Be paired with an onboarding buddy who will introduce you to the world of equity management * Get to know your engineering team, product managers, and designers * Learn how your team’s domain connects to the broader Ledgy platform * Set up your development environment and start contributing small, well-scoped changes * Build familiarity with our codebase, product workflows, and engineering practices First 3 months: * Ship product features and improvements with increasing independence * Work with teammates to break down problems, understand trade-offs, and deliver reliable solutions * Participate actively in code reviews and team discussions * Develop a deeper understanding of how companies manage and automate equity * Contribute to improving quality, maintainability, and user experience in your team’s domain First 6–12 months: * Own medium-sized features from implementation through release * Collaborate with Product and Design to shape pragmatic, user-centric solutions * Contribute to technical discussions around data models, workflows, and scalability * Continue growing toward senior-level ownership, judgement, and impact The interview process: * Getting to know you (45 min): Meet with someone from our people team to talk about your experience and to ask questions about the role * Live Coding (60 min): An equity domain problem to solve collaboratively using your preferred language and IDE. We want to see how you think, so this step does not allow AI. But you can freely look up syntax questions if you need to. * System Design (60 min): A system design session focused on practical problem-solving, clear trade-offs, and how you structure technical thinking * Case Study (60 min): Collaborate with a product manager and engineer to explore a problem related to Ledgy’s domain. Focus is on understanding requirements, product thinking, and implementation trade-offs. * Culture Interview: A chance to meet one of our founders and your hiring manager for a 30-minute chat about Ledgy’s mission and values * Offer 🎉 Being part of Ledgy means: * Recharge and re-energize with flexible working hours, 25 days of vacation, and up to 40 days of remote work from outside your home country. * We make space for your own professional development, with a generous yearly learning & development budget. * This role will receive a competitive salary + benefits + equity. All salaries are aligned with competitively benchmarked ranges based on work location and levelling. * For candidates based in London or Zurich we use a hybrid work model of 2 days in the office per week.

Sista ansökan: 29 aug.Publicerad: 29 juli

Other

Senior Machine Learning Engineer, Developer Advocacy | Spain | Remote

Grafana Labs•Spain

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com [http://grafana.com] and follow us on LinkedIn [https://www.linkedin.com/company/grafana-labs/] and X [https://twitter.com/grafana]. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. SENIOR ML ENGINEER RECOMMENDER SYSTEMS, DEVELOPER ADVOCACY | SPAIN | REMOTE This is a fully remote position and we're considering candidates in Spain. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. * Evolve the Interactive Learning Plugin's recommendation system * Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. * You’ll own a real-time recommendation service * Build and operate applied models * Develop, validate, version, monitor, and iterate on models used by the recommendation system. * You’ll own model training & serving * Define what recommendation quality means * Develop offline, online, and longitudinal measures of recommendation performance. * You’ll own feature pipelines, monitoring of the model and architecture * Ship incremental improvements * Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow. * Integrate improvements into the existing recommender rather than waiting for a complete replacement system. * Partner across disciplines * Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service. * Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis. * Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions. * Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. * Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn. * HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems * Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: * Experience with content, education, onboarding, or learning recommendation systems * Experience with SaaS product telemetry and customer-account data * Experience using warehouse-scale behavioral data * Experience with directed graphs, sequence models, or prerequisite-aware recommendations * Experience with contextual bandits or other exploration strategies * Familiarity with Grafana or the broader observability ecosystem * Experience with open source software or transparent development practices * Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In Spain, the base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: * 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. * Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. * Transparent Communication – Expect open decision-making and regular company-wide updates. * Innovation-Driven – Autonomy and support to ship great work and try new things. * Open Source Roots – Built on community-driven values that shape how we work. * Empowered Teams – High trust, low ego culture that values outcomes over optics. * Career Growth Pathways – Defined opportunities to grow and develop your career. * Approachable Leadership – Transparent execs who are involved, visible, and human. * Passionate People – Join a team of smart, supportive folks who care deeply about what they do. * In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. * Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy [https://grafana.com/legal/applicant-and-candidate-privacy-policy/].

Sista ansökan: 22 aug.Publicerad: 22 juli

Other

Sr. Demand Planner

Revlon Corporate•Spain

At Revlon, we create beauty innovations for everyone that inspire confidence and ignite joy every day. Breaking beauty boundaries is in our company’s DNA. Since its game-changing launch of the first opaque nail enamel in 1932 (and later, the first long-wear foundation), Revlon has provided consumers with high-quality product innovation, performance, and sophisticated glamour. Elizabeth Arden made waves as a woman-led beauty company in the 1920s. In 1931, Almay became the original hypoallergenic, fragrance-free beauty brand. Today, Revlon resiliently continues its legacy as a leading global beauty company. Our diverse portfolio—which consists of some of the world’s most iconic brands and product offerings in color cosmetics, skincare, hair color & care, personal care, and fragrances—is sold around the world through prestige, professional, mass, and direct-to-consumer retail channels. These brands include Revlon, Revlon Professional, Elizabeth Arden, Almay, American Crew, CND, Cutex, Mitchum, Sinful Colors, Creme of Nature, Christina Aguilera, John Varvatos, Juicy Couture, Ed Hardy and more. We honor our heritage, embrace change, and applaud diversity. We champion our employees and celebrate our consumers. We are Revlon, together, transforming beauty. Employees are expected to work from our Barcelona (Cornellà de Llobregat) office 3 days per week and may work remotely the remaining days. Overview We are looking for a Senior Demand Planner to join our Operations team and play a key role in driving an accurate and collaborative demand planning process across the business. This position is responsible for developing and executing demand plans that support the company’s commercial objectives while acting as a key link between Sales, Marketing, Finance and Supply Chain teams. Success in this role requires strong analytical capabilities, business acumen, stakeholder management and a continuous improvement mindset. KEY RESPONSIBILITIES * Lead the demand planning process within the Sales & Operations Planning (S&OP) cycle. * Develop monthly and weekly forecasts, balancing short-term execution with longer-term planning horizons. * Build volume and value forecasts by integrating: * Sales and Commercial inputs. * Marketing plans, including new launches and discontinuations. * Historical sales and POS data. * Business consensus and market intelligence. * Analyze sales performance, inventory levels, consumption trends and forecast deviations to proactively identify risks and opportunities. * Partner closely with Sales and Marketing teams, challenging assumptions when needed and ensuring forecast quality. * Communicate demand projections and business outlooks to Finance and key stakeholders. * Monitor and improve forecast accuracy, bias and overall planning performance through root-cause analysis and continuous improvement initiatives. * Maintain demand planning databases, forecasting systems and statistical models. * Prepare and share demand planning reports and KPIs, including Forecast Accuracy, Forecast Bias, Customer Service, Stock-on-Hand and Business Waste metrics. * Identify gaps in demand plans and drive corrective actions with relevant stakeholders. * Manage demand changes within the frozen period, aligning business needs with Supply Planning requirements. WHAT WE ARE LOOKING FOR * Bachelor's degree (Engineering, Supply Chain, Business or similar). * Minimum 5 years of Supply Chain experience, including at least 3 years in Demand Planning. * Experience working with SAP, APO, Manugistics or similar planning tools. * Advanced Excel skills and strong data management capabilities. * Fluent professional English (C1+) and Spanish (C1+), to lead meetings and do presentations in this language. Nice to have * Additional European languages. * APICS certification. CORE COMPETENCIES * Strong analytical and problem-solving skills. * Ability to analyze and consolidate large volumes of data and translate insights into business decisions. * High attention to detail and commitment to delivering results. * Confidence to challenge assumptions and influence stakeholders. * Strong understanding of Supply Chain and S&OP processes. * Excellent collaboration, communication and consensus-building skills. * Ability to manage multiple priorities and work effectively under tight deadlines. * Growth mindset, curiosity and willingness to continuously learn and improve. WHY JOIN REVLON? You will be part of an international and collaborative environment where Demand Planning plays a critical role in business decision-making. This is an opportunity to contribute to a global organization while helping shape a more accurate, data-driven and agile planning function. If your are nterested in joining us, we'd love to hear from you. #LI-Hybrid #LI-LS2 Applicant Data Protection Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Revlon Consumer Products LLC (“Controller”), and its operating affiliates. Revlon Consumer Products LLC's data protection officer is Monica Fahnhorst, who can be contacted at privacypolicy@revlon.com [privacypolicy@revlon.com]. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating, and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Greenhouse is certified to the EU-U.S. Data Privacy Framework, which the European Commission has determined ensures an adequate level of protection – comparable to that of the EU – for personal data transferred from the EU. Your personal data will be retained by Controller for three (3) years. Under the GDPR, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. In addition, you may lodge a complaint with an EU supervisory authority. Applicant Privacy Notice [https://cdn.shopify.com/s/files/1/0650/1328/5059/files/Applicant_Privacy_Notice.pdf] Privacy policy – Revlon [https://www.revlon.com/policies/privacy-policy]

Sista ansökan: 29 aug.Publicerad: 29 juli

Other