• Design, build, and maintain scalable Snowflake-based data warehouse architectures, ensuring performance, reliability, and extensibility for future growth. • Own data architecture and technical design decisions, including data models, integration patterns, and optimization strategies. • Transform raw source data from multiple internal and external systems into analytics-ready data models using industry best practices. • Lead and contribute to warehouse development using dimensional modeling techniques (e.g., star schemas, slowly changing dimensions). • Develop and manage data pipelines using Snowflake features such as Snowpipe, tasks, stored procedures, and performance optimization techniques. • Manage and monitor data integrations with internal systems via APIs, application calls, or custom code to ensure data accuracy and reliability. • Apply auditing, change tracking, error handling, and monitoring across large datasets to maintain high data quality standards. • Identify and resolve data quality issues and implement controls to distinguish valid vs. invalid data used in decision-making. • Leverage Python and application knowledge to interact with and extract data from other systems. • Provide technical leadership through coaching and mentoring junior and mid-level data engineers, including code reviews, design feedback, and best-practice guidance. • Contribute to and help define data engineering standards, best practices, and documentation across the team. • Collaborate across teams to support day-to-day operational data needs and continuously improve data pipelines and processes.

• Lead the design, architecture, and delivery of scalable, Azure-based data platforms • Drive the strategy and execution of scalable, secure, and high-performing data solutions • Oversee data architecture, modeling, and engineering teams • Partner with executive leadership to prioritize data initiatives • Lead the design and implementation of enterprise data architecture • Define and enforce data modeling standards to support scalable analytics and reporting • Oversee the development and maintenance of robust ETL/ELT pipelines integrating data from multiple sources • Ensure data accuracy, consistency, and availability across platforms • Collaborate with Analytics, BI, Finance, Clinical, Operations, and Commercial teams to understand data needs

Role Description Werde Teil unserer Crew! Du willst nicht nur coden, sondern echte Softwarelösungen entwickeln? Wir entwickeln Software- und AI-Lösungen für Kunden in der Metropolregion Nürnberg. Dich erwartet ein moderner Tech-Stack, der kontinuierlich weiterentwickelt wird, sowie abwechslungsreiche Projekte mit unterschiedlichen technologischen Herausforderungen. Unsere crossfunktionalen Teams arbeiten agil und eigenverantwortlich und bringen Ideen direkt in die Umsetzung. Deine Aufgaben: - Du entwickelst Datenarchitekturen, Datenpipelines und Integrationslösungen. - Du arbeitest mit großen Datenmengen und sorgst für Datenqualität und Verfügbarkeit. - Du modellierst Daten und entwickelst ETL/ELT-Prozesse. - Du verbindest Datenquellen und schaffst die Grundlage für datengetriebene Entscheidungen. - Du berätst Kunden bei der Umsetzung moderner Datenplattformen. Qualifications - Mehrjährige Erfahrung in Data Engineering, Datenarchitektur oder Analytics. - Sehr gute Kenntnisse in SQL und Datenbanken. - Erfahrung mit ETL/ELT, Datenpipelines und idealerweise Cloud-Datenplattformen. - Kenntnisse in Python, Java oder ähnlichen Technologien. - Du kannst komplexe Daten verständlich machen und denkst in skalierbaren Lösungen. - Fließende Deutschkenntnisse sowie gute Englischkenntnisse. Benefits - Selbstorganisation & Verantwortung: Du steuerst deine Arbeit eigenständig, übernimmst Verantwortung für Entscheidungen und gestaltest Vorgehen sowie Lösungen aktiv mit. - Fair Pay (für Alle!): Ein transparentes Gehaltsmodell ohne individuelle Verhandlungen, ergänzt durch Sonderzahlungen und betriebliche Altersvorsorge. - Flexible Arbeitsweise: Du entscheidest, wann und wo du arbeitest! (Viel Spaß auf Workation!) - Multispace Office: Kaffee aus der Siebträgermaschine? Air Fryer, Popcornmaschine, modernen Arbeitsplätze und ein Wohnzimmer mit Sofas? Bekommst du! (Du liebst Pfotenabdrücke auf dem Teppich? Bürohunde erlaubt!) - Mobilität nach Bedarf vom Deutschlandticket bis zum Dienstwagen. Außerdem steht dir unser ID.Buzz zur Verfügung! - Weiterentwicklung: Du bekommst Zeit und Budget für Weiterbildung und kannst Themen über dein Projekt hinaus voranbringen. - Eigene Hardware & Geräte: Du wählst deine bevorzugte Hardware. Sowohl Firmenhandy als auch Laptop kannst du auch privat nutzen.

Role Description This is a critical role at the heart of our demand generation engine. You’ll make sure the data behind our campaigns is accurate, consistent, and usable; enabling our global teams to execute with confidence and precision. From maintaining clean CRM records to building reliable campaign lists and improving how data flows across systems, you’ll be the person who keeps everything connected and working as it should. - Data Quality & Governance - Own the accuracy and completeness of key data fields for marketing campaigns (sector, geography, hierarchy, contact mapping). - Maintain and improve data hygiene processes in Microsoft Dynamics 365 to reduce duplication and keep data clean over time. - Work with global teams to improve how data is entered, introducing clear standards, validation rules, and ownership. - CRM & Data Integration - Enrich and standardise CRM data using tools like ZoomInfo and Seamless. - Manage ongoing deduplication of accounts and contacts. - Ensure data is aligned across CRM, marketing, and BI platforms, improving how data flows between systems. - Campaign Data & Execution - Build and maintain clean campaign lists and segmentation in D365. - Source, validate, and upload data for campaigns and nurture programs. - Ensure consistent tagging and audience segmentation across markets so campaigns can run effectively. - Reporting & Insights - Maintain a regular data health report covering completeness, duplication, and enrichment. - Support campaign reporting by ensuring data is accurate and usable. - Identify and resolve data issues before they impact performance. Qualifications - Strong proficiency in Excel - confident working with large datasets, including data cleaning, comparisons, and transformations (VLOOKUP, pivot tables, etc.). - Familiarity with the data structures of CRM systems (Ideally Microsoft Dynamics 365). - Experience working with marketing or sales data, understanding how it supports campaigns and pipeline. - High degree of common sense and curiosity, with meticulous attention to detail. - Clear communication skills - able to document processes, explain issues, and drive consistency across teams. Benefits - Dynamic & collaborative team in a creative environment with exposure to global clients & colleagues. - Weekly webinars to support your development through our People Academy. - Annual TLC Wellness Week and programmes throughout the year. - TLC Culture Club - including seasonal social events, tasty lunches & more. - TLC Gives Back - volunteering opportunities, including off site visits and volunteering leave. - TLC Rise - supporting and empowering women into leadership roles. - 'Frankies' - Our very own awards ceremony where we walk down the TLC red carpet in our best outfits. - TLC Owner's Club - Everyone that is part of the TLC experience contributes to our success, which is why we all own a piece of TLC as part of our share holder scheme.