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

Title: Data Engineer Location: Northfield Dr W, Waterloo, ON, Canada - temprop="jobLocation" itemscope="" itemtype="http://schema.org/Place">Employees can work remotely - temprop="employmentType">Full-time - Department: Technology Enablement Company Description Who We Are With every job, there’s always the question of “why”. Why join a company? Why be part of their mission? Here, the why is easy. It’s because at some point, we’ve all needed someone there for us. At the OTIP Group of Companies (OGC), we believe that something special happens when employees feel valued for the work they do, supported as the people they are, and included in the very fabric of the organization: they bring their best to work every day. And that's why we mean it when we say we put our people at the centre of everything we do. Join us as we grow our way into a future that reimagines what it means to deliver meaningful benefits support and service. Job Description What You’ll Do: Reporting to the Senior Manager, Data Management, the Data Engineer designs, develops, and maintains scalable data pipelines and modern data platforms, primarily supporting a Python based data processing platform, focusing on Master Data Management (MDM) processing and MDM platform modernization. This role will play a critical part in enhancing existing MDM data processing, migrating existing Python-based pipelines to Snowflake, and implementing MDM solutions to deliver high-quality, trusted enterprise data. The core parts of your role will be to: - Design, develop, and enhance data pipelines to ingest and process data from multiple source systems and file formats. - Apply data quality rules, validations, and thresholds within data pipelines to ensure reliable and accurate data is loaded to databases. - Implement and manage CI/CD pipelines to enable automated deployment using Azure DevOps. - Support the migration of existing Python-based solutions to Snowflake, and MDM platforms (e.g., Profisee), supporting platform modernization. - Monitor and support data pipelines to ensure they meet expectations, maintain robustness, and adhere to security standards. - Collaborate with Data Architecture and Data Governance for critical platform and portfolio initiatives in collaboration with business and technology stakeholders. - Support the conversion of SSIS packages to ADF as part of Cloud migration. - Collaborate effectively with cross-functional teams and external partners across the organization. - Ensure compliance with data stewardship standards, governance policies, and data security procedures Qualifications Let’s Talk About You: This is the unique blend of skills and experience we would love to see in an ideal candidate: - Qualifications: - Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience). - 3+ years of experience working as a Data Engineer using Python and SQL Server / Azure SQL. - 2+ years of experience using Azure DevOps, including Repos and CI/CD pipelines. - 3+ years of relational databases, preferably SQL Server and Azure SQL. - 3+ years of experience with Azure Data Factory (ADF), SSIS, and SSMS, including pipeline orchestration. - Solid understanding of ETL / ELT patterns and data modeling best practices. - Knowledge of Medallion Architecture within enterprise data warehouse environments. - Strong analytical and problem-solving skills with high attention to detail. - Ability to manage multiple priorities and work independently with minimal supervision. - Excellent verbal and written communication skills. - Experience working in Agile/Scrum delivery environments. - Knowledge or hands-on experience with Snowflake is an asset. - Practical experience implementing Master Data Management (MDM) solutions or frameworks is an asset. - Experience or familiarity with MDM tools such as Profisee or Informatica is an asset. Additional Information Salary Range: This position offers a competitive salary within a range of $87,730 to $120,600, along with rewarding bonuses that recognize your dedication. At the OTIP Group of Companies (OGC), we value transparency and take multiple factors into account when determining your starting salary, including your skills, experience, and alignment with the role as well as internal equity, while positioning you for continued growth and recognition over time. Some of the Perks We Offer: We offer best-in-class pension and benefits, total reward programs and comprehensive mental wellness support to set you up for every success in and outside of work. Here are just some of the reasons you’ll love working here: - Defined benefit pension plan for a financially confident retirement - 100% coverage of approved continuing education and licensing fees (including RIBO courses in Ontario) - Access to a wealth of learning resources, including LinkedIn Learning for professional development - Flexible work-from-home and hybrid options - Unlock your potential with opportunities for advancement Recruitment Process: Please note that we do not currently use artificial intelligence (AI) in our recruitment process and this position is being posted to fill an existing vacancy. OTIP and its group of companies strive to create an accessible and inclusive work environment where everyone is treated with respect and dignity. Upon individual request, we will endeavor to remove any barrier to the recruitment and selection processes and provide accommodations for persons with disabilities. As a business, we protect what matters most to our members. As an employer, we value what matters most in our workplace. Together, this includes fostering a diverse, equitable and inclusive environment for all. We are committed to learning and evolving so we can continue to celebrate what makes us special. You are who you are, and our differences are what make us unique. We are an equal opportunity employer and encourage applications from all qualified individuals. We thank all applicants for their interest; however, only candidates selected for an interview will be contacted. #LI-Remote, #LI-Hybrid

Title: Data Architect (SR-5269193-ARCH) Location: Remote – United States Job Description: I. DESCRIPTION OF SERVICES The scope of the proposed services will include the following: Design the vision and blueprint of an organization’s data framework. Design and manage data systems, set policies for how data is stored and accessed, coordinate various data sources within an organization, and integrate new data technologies into existing IT infrastructures. Data modeling and design, including software development and database administration. II. CANDIDATE SKILLS AND QUALIFICATIONS Years Required/Preferred Experience 10 Required Professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture. N/A Preferred Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, or Information Technology. 2 Preferred Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures. Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2027. May not be extended beyond June 30, 2029. Hours worked should be within the State’s core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State’s core business hours in order to meet critical deadlines. JOB CODE: SR-5269193-ARCH