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.

Title: Senior Analytics Engineer – Remote Location: Sydney, New South Wales 2000, Australia • Full-time Role Type Within Australia • Permanent • Full-time • Mid-level Senior Description Who we are Employment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. Since our inception in 2014, we’ve scaled to a $2 billion valuation and gained a presence in 6 countries globally – Australia, New Zealand, Singapore, Malaysia, the UK and Canada. We now service over 400,000 businesses and more than 3 million employees. The EH Way At Employment Hero, we’re proud of our unique DNA, which we call The EH Way. - We are mission first. Everything we do (from what we work on, to how we allocate capital and where we focus) is driven by our mission. - We are remote first. We champion a remote environment with a preference for asynchronous communication and a high degree of autonomy. - We are AI First. We are committed to using AI to accelerate our mission; AI is not just a tool, it’s a fundamental part of how we operate, innovate, and scale. - We are apolitical. We do not take a position on political or social topics, unless it relates to our mission. - We live by our values. We role model our values 100% of the time. - We expect high performance. We set a high standard and we’re not satisfied with being average. What we need We’re looking for a Senior Data Analytics Engineer (Marketing) with hands-on experience in data science, marketing analytics, or a similar role, and who has a deep knowledge of the MarTech stack. We are also looking for someone who thrives in a fast-paced environment, can work cross-functionally across teams, can accelerate the adoption of AI in marketing initiatives, by establishing the right data infrastructure foundations and embedding AI applications across our MarTech stack (e.g., Braze, Marketo). Key responsibilities - Build and manage data pipelines to integrate marketing and CRM data into a single source of truth. - Resolve integration challenges across multiple marketing platforms, tools, and systems. - Simplify complex, cross-channel reporting to support faster, smarter decision-making. - Break down MarTech data silos to uncover end-to-end customer and campaign insights. - Design and optimise predictive lead scoring models using behavioural, demographic, and firmographic data. - Analyse and improve MQL quality by creating data views that highlight fit, intent, and downstream performance. - Develop intent models based on user behaviour to power audience segmentation and personalised campaigns. - Implement advanced attribution and media mix modelling to fine-tune ad spend and boost ROI. - Build smart dashboards and reports that deliver clear, actionable insights to marketing and sales teams. - Partner with Marketing to define and track candidate quality metrics across all channels, supporting long-term engagement and re-engagement strategies. What we’re looking for - Proficiency in SQL and relational databases. - Experience with data pipeline development and ETL processes. - Familiarity with visualization tools (e.g., Tableau, Looker Studio). - Solid understanding of statistical modeling and machine learning techniques. - Expertise in Martech platforms (e.g., CRM, automation, advertising). - Strong grasp of Webtech (GA4, GTM, conversion event tracking). - Understanding of GTM data layer configuration and conversion tracking. - Bachelor’s or Master’s degree in data science, statistics, or a related field. - Strong analytical, communication, and problem-solving skills. - Knowledge of marketing attribution methods and campaign measurement. What we can offer At Employment Hero, we don’t just talk about a better way to work – we live it. Joining Employment Hero means: - You will work remotely, with the flexibility to own your time and impact - You will access cutting-edge tools to amplify your work, knowledge and outputs - You’ll surround yourself with ambitious, outcome-driven colleagues who challenge you to do the best work of your life - You’ll own ESOP (employee share options) in one of the world’s fastest-growing tech companies - You’ll also have access to a wide range of benefits that includes: a very generous paternity leave policy, subsidised egg freezing (so you can make the choice that’s right for you, on your terms), a WFH office expense budget, and outstanding learning & development opportunities At Employment Hero, we are committed to safeguarding the privacy of your application data. To understand how we do so, you can read our Applicant Privacy Policy here employmenthero.com/legals/applicant-policy/ Employment Hero celebrates diverse perspectives and experiences, we invite people of all backgrounds and identities to apply for this position. Company Overview Employment Hero is the world’s first Employment Operating System: an end-to-end system built to make employment easier for everyone. From hired to retired, everything employment is managed in one place. Employment Hero helps over 300,000 businesses worldwide hire great people and manage everything from hiring, HR and payroll, through to rewards, recognition and offboarding —all automated behind the scenes. And for the 2M+ employees and jobseekers using Employment Hero, Employment OS is their work passport to unlock great job opportunities, manage work admin and grow their career.

• Design and build the data pipelines and transformation models that move raw data from source systems into a centralized data warehouse. • Drive the creation of a canonical employee record with a stable, consistent identifier that survives job changes, rehires, and system migrations. • Own the semantic layer for people metrics: define, document, and maintain agreed-upon definitions for core measures so that HR, Finance, and leadership are always working from the same numbers. • Bridge the gap between raw sources and business value. Ensure that data models are not just technically sound, but are purposefully built to answer the specific strategic questions for Wealthsimple. • Build slowly-changing dimension patterns and dated workforce snapshots that enable accurate point-in-time analysis. • Establish data governance practices that belong in a people analytics function. • Partner with HR business partners, Finance, and People Operations leaders to translate business questions into well-structured data models and durable analytical solutions. • Use AI tools to accelerate your work, drafting pipeline code, generating documentation, stress-testing metric logic, and turning technical findings into clear communication for non-technical partners.