Role Description We’re looking for a Data Entry Specialist who thrives on accuracy, consistency, and organization. You’ll play a key behind-the-scenes role in maintaining the information that powers our travel experiences—updating accommodation details, pricing, images, and content in our internal system. This role offers significant long-term growth opportunities, though we want to be transparent: the initial period will involve highly detailed and repetitive tasks that require focus, patience, and precision. If you enjoy structured work, solving small details, and keeping systems organized, this could be the ideal remote role for you. Qualifications - Near-native written and spoken English. - Experience in data entry, administration, or operations support. - Exceptional attention to detail and accuracy. - Strong organizational and time-management skills. - Comfortable working independently in a remote environment. - Based in Europe with a reliable internet connection. - Proficient in Google Workspace and Excel. - Basic image editing skills are a plus. - Passion for European travel is a bonus. Requirements - Input and maintain text and image data in our internal system, Marco. - Update accommodation details, pricing, descriptions, and travel content. - Ensure data accuracy and resolve discrepancies quickly. - Perform high-volume data entry using spreadsheets and databases. - Organize digital assets such as images and listings. - Collaborate with internal teams to meet quality and productivity goals. - Help improve processes and maintain consistency across large datasets. Benefits - Career Growth & Learning – Training, mentorship, and future development opportunities. - Annual Team Gatherings – Meet colleagues from around the world at company events. - Health & Wellness Support – Resources to help you stay at your best. - Remote Setup Provided – Company MacBook and tools for success. - Performance Rewards – Recognition and incentives for great work. - Work-Life Balance – Stable Monday to Friday remote schedule. Company Description JayWay Travel Inc. is committed to ensuring equal opportunities, with recruitment and selection decisions based solely on qualifications and merit, without regard to protected characteristics.

Role Description We are looking for a skilled and motivated Data Modeler (Snowflake) to support the integration of regional data warehouses into a centralized Snowflake-based data platform for our clients in the pharmaceutical industry. This mid-level role is ideal for candidates with a strong foundation in physical data modeling and implementation, particularly within Snowflake, and who can collaborate across data engineering, architecture, and governance teams. You'll play a vital role in ensuring the data platform is efficient, scalable, and compliant with best practices and governance standards. What You Will Be Doing: - Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. - Translate conceptual and logical models into Snowflake-ready schemas, tables, and views. - Collaborate with data engineers to refine ETL/ELT processes and data integration patterns. - Align models and metadata with governance standards and tools, including Collibra. - Ensure all modeling and transformation logic is well-documented for traceability and compliance. - Support performance tuning and optimization of data pipelines. - Work in a distributed, global environment with both technical and business stakeholders. Qualifications - 4–7 years of experience as a Data Modeler or similar role. - Proven expertise in Snowflake physical data modeling and SQL. - Proven experience with Data Vault. - Understanding of data integration and ETL/ELT principles; experience with tools like dbt, Matillion, or Fivetran is a plus. - Experience with metadata and data governance platforms, ideally Collibra. - Familiarity with AWS services, particularly S3 is a plus. - Solid grasp of data modeling best practices (e.g., star schema, normalization, data vault). - Ability to work independently in a remote, cross-functional environment. - Excellent communication and documentation skills. - Fluent in English. Requirements - Experience in pharmaceutical/life sciences data and regulatory frameworks (preferred). - Familiarity with data quality tools such as Ataccama (preferred). Benefits - Work from Anywhere: Enjoy up to 25 days per year of remote work from any global location. - Recharge Freely: Take the time you need with flexible time off—beyond standard holiday allowances. - Connect as a Team: Use your team’s integration budget to meet, collaborate, and bond. - Celebrate Your Birthday: Receive a special gift from Fusion on your birthday. - Invest in Your Learning: Access CHF 1,500 annually for professional development. - Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills. - Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms. - Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change. - Earn What You’re Worth: Receive a competitive salary and benefits package that reflects your impact. - Refer Talent: Get rewarded for recommending new hires through our referral program. - Stay Rewarded: Access loyalty-based benefits starting from your third year via the Unity Scheme. - Relocate with Ease: Receive financial assistance when moving for work. - Navigate Global Moves: Get help with visas, permits, and international assignments. - Benefit Locally: Enjoy perks tailored to your country of residence. - Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customersto provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. Job Description The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. We are looking for a Senior Data Engineering (Tech Lead) to lead our team of data engineers and to bring your experience and vision in data warehouse design, data modeling, and data visualization. We are seeking an individual with a strong data background but also an AI-first mentality, who can drive our current initiatives to leverage AI for accelerating modeling and dashboarding tasks, as well as exposing our telemetry data to stakeholders across the company in the form of an AI agent and MCP. What you'll do - Partner with the Product Manager to shape the roadmap, refine scope, and define clear, actionable acceptance criteria. - Own the technical architecture for data warehousing, data modeling, and data access patterns. - Lead the team technically to design, implement, deliver, and validate scalable data pipelines and reporting solutions. - Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools. - Define and implement an AI-first approach to data, including AI-assisted workflows for modeling, analysis, and dashboard creation. - Architect and deliver an AI-powered interface (agent) that enables stakeholders to access and explore telemetry data in a self-service manner. - Enable integration of telemetry insights into internal tools and workflows by providing and maintaining supporting capabilities (e.g., MCP or equivalent interfaces). - Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code. - Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads. - Mentor and support data engineers through technical guidance, code reviews, and knowledge sharing. - Promote an agile, iterative engineering culture and actively contribute to team ceremonies. Qualifications Data Engineering Experience - Master's degree (or equivalent) in Computer Science, Engineering, or a related field. - 7+ years of experience as a Data Engineer, including at least 1 year in a Tech Lead or similar leadership role. - Strong expertise in database design, data modeling, and handling both structured and unstructured data. - Strong system design and architectural skills, with the ability to design scalable data platforms. - Proficiency in SQL and Python, with solid experience building and maintaining ETL/ELT pipelines. - Familiarity with modern data stack tools such as dbt, AWS Lambda, Step Functions, Glue, Athena, Redshift, or similar. - Exposure to telemetry data systems and large-scale product analytics. - Experience building internal data platforms or self-service analytics solutions. - Hands-on experience with the AWS cloud platform. - Experience with data visualization tools such as Power BI, QuickSight, Tableau, or similar. - Practical knowledge of DevOps practices, CI/CD pipelines, and tools such as Git. - Experience with containerization and infrastructure tools (e.g., Docker, Terraform, Jenkins). - Proven ability to own projects end-to-end and operate with a high level of autonomy. - Excellent communication and collaboration skills, with fluency in English. AI & Advanced Capabilities - Experience building and deploying AI-powered data systems, including Retrieval-Augmented Generation (RAG) and LLM-based applications. - Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex) and integrating LLM APIs into production workflows. - Experience designing AI agents or intelligent data interfaces (e.g., chat-to-data, NL-to-SQL). - Understanding of semantic data modeling to enable natural language interaction with structured data. - Ability to evaluate, monitor, and scale AI systems, with strong architectural judgment for integrating AI into data platforms. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. IIf you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Amazing centrally located offices near the Bernabeu Stadium. - Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us. - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer) plus 3 company-paid volunteer days. - Up to 25 EUR per month for a gym subscription. - Flexible compensation plan for childcare & public transportation. - ‍ Reimbursement of up to 50% of the cost of English & Spanish classes. - Fresh fruit, cookies, soft drinks and protein shakes at the offie. - Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more! - Bonuses for referring successful hires after three months of continuous employment. - We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner

Role Description Interested in working at a fast-paced growing FinTech company? Have a desire to work with the latest technologies including Python, Amazon Web Services (AWS), and custom-built APIs? If so, we are excited to have you join the Green Street technology team. We are looking to hire a talented, hands-on data engineer, who is interested in working on our cloud-based solutions for pipelining public and private data from multiple sources throughout our systems. You will be working on an Agile team dedicated to: - Parsing and processing, aggregating, and enriching the latest CRE data used by our clients and an internal team of researchers. - Providing the most comprehensive view of the Commercial Real Estate in the world. What’s it like working with our team of dedicated technologists? We are passionate about: - Great Agile teams. - Engineering excellence through paired programming and automated testing. - Close collaboration with each other and a highly transparent tech organization. You’ll have multiple opportunities to work on interesting projects, move around teams, and engage with some of the brightest engineering minds anywhere. We love great engineers, and we are excited to get to know you better. Please share your resume today! Qualifications - A Bachelor’s degree in Computer Science / Engineering or comparable experience. - Excellent programming skills with a minimum of 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.). - Extensive database skills with a minimum of 5 years of experience in either MySQL, SQL, or PostgreSQL. - Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus. - Must enjoy collaborative problem solving, have excellent communication skills, and demonstrate attention to detail. - Prepared to work independently in a fast-paced, agile environment with the ability to multitask. - Track record of keeping up with new cloud technologies, languages, standards, and practices. - Prior knowledge of finance, real estate data, mathematics, or GIS / spatial data is a plus. - Ability to work independently with minimal supervision. - Ability to collaborate effectively with a remote team. Requirements - Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability. - Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation. - Provide leadership and mentorship to junior team members through training, pair programming, and code reviews. - Collaborate with product, research, operations, and front-end teams to build innovative solutions to achieve business goals. - Perform analysis on large aggregated datasets (e.g. demographic, geographic, GIS / spatial). - Work directly with a development team in California and other offshore development team members in various time zones. - Able to overlap with US West coast 3 – 4 hours to handle hand-over discussions, triage issues, etc. Knowledge & Skills - Excellent Python Programming knowledge. - Excellent scripting skills and an extensive knowledge of SQL with the ability to write advanced queries to manipulate datasets. - Knowledge of and passion for database design, optimization techniques, and warehousing. - Strong leadership and interpersonal skills. - Ability to quickly learn, internalize complex pipelines, and efficiently troubleshoot bugs. - Experience with AWS infrastructure and CI / CD, and interest in front end technologies is a plus. - Prior experience developing scalable APIs (REST and GraphQL) is a plus.