The Companylastminute.com is the European Travel Tech leader in Dynamic Holiday Packages. It operates a portfolio of well-known brands such as lastminute.com, Volagratis, Rumbo, weg.de, Bravofly, Jetcost and Hotelscan.Our mission is to lead the travel industry by leveraging technology to simplify, personalise, and enhance our customers' travel experience. Experts in brightening up online travel, we help our customers find and do "whatever makes them pink".We continuously invest in talented people who ensure our offering is closer to the needs of the customers and keep us at the cutting edge of technology evolution. More than 1,700 employees spread across our offices worldwide develop our own products and services to power the entire traveller journey for millions of people.At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.lastminute.com N.V. is a publicly-traded company listed under the ticker symbol LMN on the SIX Swiss Exchange.Job Descriptionlastminute.com is looking for a Data Engineer for its Sales & Partnerships team inside the Data & Analytics department.The activities of the Sales & Partnerships domain team are focused on reports, tables, analysis and, more generally, all sorts of deliverables related to company's sales data in order to create an important value in supporting decision-making of the business. Significant emphasis will be placed on partnerships data preparation and analysis, helping our business to find best solutions with the partners, monitoring performances and evaluating the effectiveness of sales campaigns, agreements and initiatives through the time.The candidate will have the opportunity to become a key member of the team leveraging their engineering skills to acquire, manipulate, orchestrate and monitor data. Data is at our core and its reliability and effectiveness have direct impact in producing actionable insights and improving business performances.* Please note that this is a remote working model position, remote possibilities can be evaluated inside Portuguese territory only.ResponsibilitiesUnderstand and analyse functional needs, raw data and develop data dimensional modelsDesign, build and deploy data pipelines with a focus on automation, performance optimization, scalability, and reliability aspectsHelp the business to understand the data and find insights that enable the company to take data driven decisionsLeverage data and business principles to solve large-scale web, mobile and data infrastructure problemsBuild data expertise and own data quality for your areaSkills and ExperienceAt least 2 years of experience in similar role in a fast-paced environmentSQL advanced knowledgeExperience in Data ModellingExperience in ETL design, implementation and maintenanceExperience with workflow management engines (e.g. Airflow, Google Cloud Composer, Talend)Experience with data quality and validationFluent in English both written and spokenBachelor or master degree in Statistics, Mathematics, Engineering or Physics or similar fieldsExperience working with cloud or on-prem Big Data/MPP analytics platform (e.g. AWS Redshift, Google BigQuery or similar)Programming languages knowledge (e.g. Python, R, Scala)Experience in analysing data to discover opportunities, address gaps and anomaly/outlier detectionExperience with Analytics tool (e.g. QlikView, Tableau, Spotfire)Familiarity with digital and e-commerce businessAbilities/QualitiesProblem solving and decision making skills and innovative thinkingProactivity and strategic approachAbility to interface with business stakeholders by presenting and negotiating one's solutionsPassionate about digital world, ambitious and motivated with a can-do attitudeHigh attention to detail and ability to effectively manage multiple projects at a time, successfully able to meet deadlinesStrong team player with a willingness to challenge existing processes and applicationsAdditional InformationWhat we offerJoin a dynamic team in an inclusive-international environmentGrow thanks to the career journey and our internal mobility perspectiveManage your own schedule thanks to the flexible start and end of the working dayWork a shorter working week(36h), of which 4 hours on Friday morningGet focus time for learning, development and deep work on Friday morningsEnjoy continuous training thanks to our company platformBenefit from employee discounts on travelReceive 2 days off per year for the purpose of volunteeringGet free snacks / fruit / hot drinks / water / beverages at our offices
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