Role Description The Analytics Engineer is a technical producer role at the foundation of Loenbro’s data platform. This person designs, builds, and maintains the data pipelines, models, and architecture that make reliable reporting possible. They work within Microsoft Fabric to move raw data through the medallion layers — from ingestion to clean, structured, business-ready models — and hand off trusted datasets to the BI team to build reports against. - Design, build, and maintain data pipelines that ingest and transform data from source systems into the Loenbro lakehouse on Microsoft Fabric. - Integrate data from business applications into the lakehouse. - Enforce data quality standards — building validation logic, monitoring pipelines, and resolving data integrity issues before they surface in reports. - Use the medallion architecture — structuring bronze, silver, and gold layers to ensure data is clean, consistent, and ready for consumption by the BI team. - Build and maintain fact and dimension tables and semantic models that serve as the trusted, authoritative data layer for all reporting. - Collaborate with the team to understand reporting requirements and ensure the data model supports the metrics and KPIs the business needs. - Document data models, pipeline logic, and transformation rules so the team can understand, maintain, and extend the platform over time. - Manage deployments using SDLC and ALM best practices — version control, environment promotion, and change management. - Stay current on Microsoft Fabric and other reporting capabilities and proactively recommend improvements to the data platform architecture. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. - 1-3 years of experience in data engineering, analytics engineering, or a closely related technical discipline. - Excellent written and verbal communication skills. - Experience with data pipelines in a production environment. - Hands-on experience with medallion architecture (bronze/silver/gold layers). - Microsoft Fabric; Lakehouses, Data Warehouses, Dataflows Gen2, Data Pipelines, PySpark Notebooks, and OneLake. - SQL; complex queries, stored procedures, transformation logic, and performance tuning. - Python or another scripting language; pipeline automation, data transformation, and custom tooling. - Power BI experience – writing DAX measures and building semantic models, building visuals. Requirements - Power Platform experience (Power Automate, Power Apps). - AI/ML exposure — integrating AI-assisted pipelines or LLM outputs into data workflows. - Software development background in any additional language. - Microsoft DP-700 (Fabric Data Engineer Associate) or DP-600 (Fabric Analytics Engineer) certification. - Construction or heavy industry experience is a plus. Benefits - Medical, dental, and vision insurance. - 401(k) retirement plan with company match. - Paid time off (PTO) and holiday pay. - Life and disability insurance. - Professional development and training opportunities. - Employee assistance program (EAP).

Role Description Our Marketing organization is building an AI-powered intelligence system to drive strategy, insights, and revenue. We are looking for a Principal Analytics Engineer to lead the design and build of this foundation. This role is about more than just writing code—it’s about creating the semantic blueprint for how Elastic understands and interacts with its business data. You will synthesize complex data streams into a unified, high-fidelity system that serves as the "source of truth" for the entire customer journey. By engineering a structured knowledge layer, you will enable Elastic to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike. What You Will Be Doing - Architect the Foundation: Design and build the core BigQuery and dbt infrastructure that powers Elastic’s marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products. - Enable AI & Agents: Develop the semantic layer and structured knowledge base that allows AI agents to accurately "talk" to our business data and reason through complex performance questions. - Map the Journey: Integrate disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer’s path from discovery to revenue. - Scale through Partnerships: Partner with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation. Qualifications - Data-as-a-Product: You treat data as a high-value product. You are dedicated to the user experience of data—ensuring it is discoverable and reliable for both human teammates and AI agents. - Technical Proficiency: Deep experience with BigQuery, dbt, and semantic layers (e.g., dbt Semantic Layer, Vortex AI). You have a proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle. - Architectural Design: Ability to build complex, interconnected systems by starting with the desired outcome and working backward. You enjoy creating extensible frameworks that empower others to innovate. - Systems & Design Thinking: The ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible. - Collaborative Communication: A track record of "translating" technical debt into business value and coaching peers through complex architectural hurdles. - Operational Excellence & Governance: You treat data as infrastructure. You have deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks that ensure metrics remain consistent, secure, and reliable across the enterprise. Bonus Points - GTM Fluency: A strong understanding of Go-To-Market mechanics—knowing how technical data structures translate into business-critical concepts like customer acquisition, attribution, and revenue. - Marketing Science Foundations: Familiarity with Marketing Mix Modeling (MMM), causality, or incrementality analysis to help the business understand the true ROI of different channels. - Privacy & Ethics: Understanding of GDPR/CCPA compliance and how to manage data privacy and consent within a marketing stack, especially when training AI models. - Identity Resolution: Proven experience with Identity Stitching or Customer 360 frameworks to unify anonymous digital signals with known customer records. - AI Production Scaling: Experience moving AI models or agentic workflows from experimental pilots into standardized, production-level deployments. Compensation Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is: - $154,000 — $243,600 CAD Benefits - Competitive pay based on the work you do here and not your previous salary. - Health coverage for you and your family in many locations. - Ability to craft your calendar with flexible locations and schedules for many roles. - Generous number of vacation days each year. - Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service. - Up to 40 hours each year to use toward volunteer projects you love. - Embracing parenthood with a minimum of 16 weeks of parental leave.

Role Description Die Bikeleasing-Gruppe hat sich zu einer führenden Unternehmensgruppe für Arbeitgeber-Benefits und Mobilitätslösungen entwickelt. In dieser Rolle entwickelst Du unser Data Warehouse gezielt weiter: - Von einer funktionierenden MVP-Landschaft hin zu einer skalierbaren, belastbaren und zukunftsfähigen Plattform. - Technische Ownership für unser Data Warehouse und Entwicklung dessen Architektur, Datenmodelle und Qualitätsstandards. - Strategischer Einsatz von dbt: modulare Modellierung, Tests, Dokumentation, Refactoring und wiederverwendbare Patterns mit Jinja. - Verbesserung der Performance, Skalierbarkeit und Zuverlässigkeit unseres Redshift-basierten Warehouses. - Entwicklung neuer Datenpipelines und Verantwortung für deren saubere Orchestrierung und stabilen Betrieb in Airflow. - Einbringung von Best Practices in Governance und Observability, Entwicklung von Standards für Datenqualität, Ownership, Monitoring und Dokumentation. Qualifications - Mehrere Jahre Erfahrung als Analytics Engineer, Data Engineer oder in einer vergleichbaren Rolle. - Sehr starke SQL-Skills und Expertise in Datenmodellierung, komplexen Transformationen und Performanceoptimierung. - Arbeiten nach modernen Engineering Best Practices und Neugier auf neue Tools, Automatisierungen und AI-gestützte Ansätze. - Kenntnisse in Cloud Data Warehouses wie AWS Redshift, Snowflake oder vergleichbare Technologien. - Erfahrung mit Airflow, Monitoring und dem stabilen Betrieb von Datenworkflows. - Neugier auf Geschäftsprozesse und Anspruch, Governance, Qualität und Transparenz einer Datenplattform aktiv mitzugestalten. Benefits - Teamspirit: DU bist wichtig für uns. - Vernünftige technische Ausstattung - Betriebssystemwahl (Windows oder MacOS). - Zugang zu Schulungen über unseren shared udemy-Account und freie Zeit für Weiterbildungen. - Teilnahme an internen Tech-Talks zur Weiterbildung. - Maximale Flexibilität in Form von Gleitzeit, Remotework & Workations. - Finanzielle Unterstützung bei Relocation nach Deutschland oder Österreich. - Probonio: monatlicher 50€ Gutschein und 60€ zusätzlich an Deinem Geburtstag. - Unschlagbare Versicherungskonditionen für betriebliche Altersversorgung und vermögenswirksame Leistungen. - Leasing von bis zu zwei Fahrrädern oder Pedelecs zwischen 649€ und 15.000€. - Vielfalt als Bereicherung für unser Team und Ermutigung zur Bewerbung von Menschen mit Behinderung oder anderen Herausforderungen. Company Description Als Dienstrad-Anbieter fördert der Bikeleasing-Service nachhaltige und sozial gerechte Mobilität und ist damit seit 2015 auf steilem Erfolgskurs. Wir beschäftigen rund 430 Mitarbeiter:innen an unseren drei Standorten (Uslar, Vellmar, Innsbruck) sowie remote im Homeoffice. - Faire Arbeitsbedingungen und abwechslungsreiche Aufgaben. - Entwicklungsperspektiven und ein familienfreundliches Arbeitsumfeld. - Engagement für nachhaltige Mobilität und ein Miteinander, das von Wertschätzung und Toleranz geprägt ist.

Role Description The Bikeleasing Group is looking for a Senior Analytics Engineer (gn) to strategically evolve our data warehouse from a functioning MVP setup to a scalable, robust, and future-proof platform. This role involves: - Taking technical ownership of our data warehouse and continuously developing its architecture, data models, and quality standards. - Using dbt strategically for modular modeling, tests, documentation, and refactoring to reusable patterns with Jinja, while establishing best practices within the team. - Improving the performance, scalability, and reliability of our Redshift-based warehouse and helping to professionalize our platform for the long term. - Developing new data pipelines and ensuring their clean orchestration and stable operation in Airflow. - Contributing best practices in governance and observability, further developing standards for data quality, ownership, monitoring, and documentation, and ensuring that issues are identified early and addressed reliably. Qualifications - Several years of experience as an Analytics Engineer, Data Engineer, or in a comparable role. - Very strong SQL skills and expertise in data modeling, complex transformations, and performance optimization. - Familiarity with cloud data warehouses such as AWS Redshift, Snowflake, or comparable technologies. - Experience with Airflow, monitoring, and the stable operation of data workflows. - Curiosity about business processes and the ambition to actively shape governance, quality, and transparency of a data platform. Requirements - Work according to modern engineering best practices. - Curiosity to pragmatically use new tools, automation, and AI-supported approaches to further develop our data platform. Benefits - Team spirit: YOU are important to us. - Reasonable technical equipment - choose your own operating system (Windows or macOS). - Access to a shared Udemy account for training courses and free time for further training. - Participation in internal tech talks to stay up to date and trained. - Maximum flexibility with flexitime, remote work, and workstations. - Financial support for relocation to Germany or Austria. - Probonio: A €50 voucher once a month and an additional €60 on your birthday. - Unbeatable insurance conditions for company pension schemes and capital-forming benefits. - Lease up to two bicycles or pedelecs between €649 and €15,000 through us as your employer. - Encouragement for applications from people with disabilities or other challenges. Company Description As a service provider for company bikes, Bikeleasing promotes sustainable and socially equitable mobility since 2015. We currently employ around 430 staff across three locations (Uslar, Vellmar, Innsbruck) and remotely. - Focus on fair working conditions, diverse tasks, and development perspectives. - Family-friendly work environment that supports work-life balance. - Commitment to sustainable mobility and a culture of appreciation and tolerance.