dev-ops

LeanIX GmbH

<div><p>We are looking for a <strong>Data Engineering Manager</strong> to drive our product analytics function, platform, and operations. Take advantage of the scale-up dynamic of the leader of Enterprise Architecture management while taking ownership of the product analytics function, supporting our organization with standardised reports as well as analytics capabilities.</p> <p>We are looking for a person who loves generating insights from data and enables teams to leverage these insights to improve a product or a process. You love "connecting the dots" across different teams and jointly building a state-of-the-art product analytics data platform . You believe in the value of data-driven decisions and 5 whys to enable Product Managers. You also enjoy working on informing the LeanIX Leadership and Management teams on key performance indicators of our leading SaaS Enterprise Architecture platform.</p> <h2>What is waiting for you?</h2> <ul> <li>You will be build and own the Product Analytics data platform in LeanIX</li> <li>You will be responsible for the Product Analytics strategy, define the product analytics backlog and roadmap, and engage in the regular prioritization discussion to get things implemented</li> <li>Lead and build a team of data engineers and analysts.</li> <li>Coach the team in working collaboratively with other engineers and data experts to grow platform adoption</li> <li>Continuously improve the environment and processes to support the data platform growth, maturity and compliance with best practices together with the team and other leaders</li> <li>Create and steer the data platform strategy with the team in alignment with wider business, product, tech and data strategies</li> <li>Represent Product Analytics in key initiatives and projects within the department or across the company and ensure they get delivered.</li> <li>Your work closely together with our BI team to help building appropriate solutions and processes supporting our product analytics strategy.</li> </ul> <h2>What are we looking for?</h2> <ul> <li>We are looking for an adept at building high-performing teams through fostering trust, continuous improvement, and iterative development</li> <li>Experience in working with product management, preferably in a multi-team setup</li> <li>Experience in defining and developing dashboards for various levels of an organization (from KPI-style reports to more interactive "self-serviced" solutions)</li> <li>Knowledge on how to build and maintain a "self-service" oriented product analytics function, enabling product teams to become more data-driven in their decisions</li> <li>As a hands-on leader, you will contribute directly to developing best-in-class tools and guidelines for our engineers, prioritizing customer needs and measurable outcomes</li> <li>Experience in Microsoft Azure or similar cloud-native platforms</li> <li>Familiarity with modern data architectures like data lakes, data warehouses, lakehouses etc.</li> <li>Extended knowledge on data ingestion, ETL,/ELT processes and data requirements</li> <li>Experience with using Databricks, Tableau, PowerBI, or similar reporting tools; Python or a knowledge of common query languages such as SQL, KQL or similar is a plus</li> <li>Fluent English is mandatory</li> </ul> <p>SAP LeanIX is a market leader for enterprise architecture management (EAM), driving the modernization of IT landscapes and continuous business transformation. Its software-as-a-service solutions empower organizations to create transparency, enabling them to visualize, assess and manage the transition towards their target IT architecture. By offering a data-driven and automated approach enhanced with AI, SAP LeanIX helps organizations make sound decisions and collaborate more effectively. SAP LeanIX serves over 1.400 companies globally across various industries, including more than 10% of the Fortune 500 and half of the German DAX 40. Headquartered in Bonn, and offices in Munich and Berlin (Germany), SAP LeanIX also has a strong international presence with offices in Boston (USA), London (UK), Paris (France), Amsterdam (Netherlands), and Ljubljana (Slovenia). In November 2023, LeanIX became part of SAP. For more information, visit . Your application information might be therefore shared across both SAP and SAP LeanIX recruiting and hiring teams.</p> <p>SAP LeanIX is not just a product, in fact it‘s a <strong>great place to work.</strong> Colleagues (700+) from dozens of countries jointly make our vision reality. We believe in transparent communication, personal development, diverse workforce, innovation by creating ideas that prove useful and that our world-class team deserves the best software stack money can buy.</p> <p>At SAP LeanIX we have a <strong>Hybrid Work Mode</strong> which means you work remotely from your home office and work from one of our offices. SAP LeanIX teams and team members decide together on the work mode which suits them best. Next to that, we have great benefits for you, </p> <p>Please check our Applicant Privacy Notice available for more information about how we process your personal data. If you have any questions or concerns about privacy or want to exercise any of your data privacy rights, please send an email to . </p> <p><em>SAP LeanIX is committed to being an <strong>equal opportunity employer.</strong> Diversity is vital to driving the growth and success of our company. If you need an equitable interview process alternative, please let our team know at <a href="mailto:jobs@leanix.net">jobs@leanix.net</a>. You will be treated with the utmost respect and confidentiality.</em></p> <p><em>All applicants will receive consideration for employment based on experience, qualifications, and competencies. SAP LeanIX will not discriminate based on race, color, religion, belief, political affiliation, union membership, age, sex, pregnancy, sexual orientation, gender identity, national or ethnic origin, genetic information, creed, citizenship, disability, protected veteran or marital status, or any other status protected by applicable laws or regulations.</em></p></div>

Data Engineering Manager (f/m/d)