Role Description At Dreamix, we are actively seeking a talented Databricks-certified Senior Data Engineer to join our team. We are on the lookout for an individual with a robust skill set in data engineering. If you are passionate about creating seamless data solutions, thrive in a collaborative environment, and are eager to contribute to the success of our data-driven initiatives, we invite you to apply. - Design and own scalable, production-grade data pipelines across the medallion architecture (ingestion, transformation, serving). - Define and enforce canonical data models aligned to business domains. - Architect pipelines for scalability, reliability, and cost efficiency, with strong focus on performance tuning (latency, partitioning, compute, SLAs). - Build and optimize data workflows using Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog). - Establish robust data quality, validation, and testing frameworks across all pipeline layers. - Ensure reliability through proper handling of retries, idempotency, and failure scenarios. - Partner with data scientists, analysts, and business stakeholders to translate requirements into high-quality data products. - Develop and maintain data integrations and APIs to enable seamless data access and interoperability. - Implement data governance, security, and compliance best practices across the platform. - Mentor and support engineers by setting best practices, providing technical guidance, and contributing to a strong engineering culture. - Troubleshoot, optimize, and continuously improve data infrastructure and workflows based on evolving needs and technologies. Qualifications - A minimum of 5 years of relevant experience in data engineering. - Bachelor’s degree in Computer Science, Information Technology, or a related field. - Databricks certification is a must as well as extensive hands-on experience with Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog) and modern big data ecosystems (e.g., Kafka). - Advanced proficiency in Python and SQL, with extensive experience building scalable ETL/ELT pipelines. - Experience designing and implementing data models (dimensional, entity-based, SCD) and efficient database schemas. - Deep understanding of data warehousing and modern Lakehouse/medallion architecture patterns. - Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services. - Experience building data products for consumption via APIs or analytics tools. - Strong understanding of data governance, access control, and regulated data environments. - Proven ability to define engineering standards, mentor engineers, and collaborate effectively in fast-paced environments. Benefits - A warm and supportive work environment where you can reach your full potential. - Flexible working hours that allow you to balance your work and personal life. - Unlimited home office to help you stay productive and focused. - Opportunities for professional development, including certifications and training. - Additional benefits for academic teaching and speaking engagements. - Knowledge-sharing sessions where you can learn from our Dreamix team. - Team and company-wide events that bring us together. - Amazing week-long summer office and winter office initiatives. - Additional health insurance to ensure your well-being.

• Support Snowflake-to-Databricks data migration activities • Design and implement scalable data pipelines in Snowflake and Databricks • Develop data ingestion and transformation processes from various sources • Migrate and optimize existing data workflows, ETL processes, and transformation logic • Build and maintain data transformations using SQL, Python, dbt, and other data engineering tools • Work with Databricks technologies, including Apache Spark-based data processing • Optimize pipelines for performance, scalability, cost efficiency, and maintainability • Automate data workflows and orchestration processes using tools such as Airflow or similar technologies • Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions • Ensure data quality and reliability throughout migration and development processes

• Design and ship production pipelines on Databricks, using a medallion architecture grounded in Data Vault 2.0 modeling patterns. • Build and harden the curated and presentation layers—driving donor lifetime value, retention, lapse risk, and campaign ROI. • Resolve identity across products to compute values on one trustworthy record. • Move toward near-real-time data and partner with architects on Change Data Capture. • Extend existing tracing and AI lifecycle tooling into ETL. • Partner with AI and product engineers to ensure data is properly shaped for applications. • Use AI tools in daily development tasks. • Raise the bar on engineering standards, addressing testing, idempotency, documentation, and security.

Role Description Wir suchen einen erfahrenen Software Engineer im Bereich Data Migration für in motiviertes Software-Engineering-Team. Es geht um die Weiterentwicklung unser Data Migration Services, damit man neue Kunden an eine neuen Steuerlösungen anbinden kann. Sie unterstützt unser Team bei der Umsetzung technischer Vorhaben und arbeiten eng mit Kolleginnen und Kollegen zusammen. Sie arbeiten mit modernen Technologien, kurzen Entscheidungswegen und viel Raum für eigene Ideen. - Gestalten, optimieren und skalieren Migrationsstrecken - Analysieren von Abhängigkeiten, um intelligente Mapping-Logiken und automatisierte Cleansing-Strategien zu entwerfen und implementieren - Entwickeln automatisierter Tests, die Integrität und Qualität der Daten über den gesamten Prozess hinweg sicherstellen - Vorbereiten der Migrations- und Testdaten und Überwachen des Verarbeitungsprozesses - Einbringen von Erkenntnissen aus der Fehleranalyse ins Team, um gemeinsam Lösungen auszuarbeiten - Vorantreiben der kontinuierlichen Weiterentwicklung unserer Entwicklungsprozesse, Tools und Best Practices Qualifications - Mehrjährige praktische Erfahrung in der Erstellung und Optimierung komplexer SQL-Abfragen - Eigeninitiative und analytisches Denken zur Verbesserung von Datenabfragen und Verarbeitungszeiten - Vertiefte Kenntnisse in Datenmodellierung, Datenmanagement und Datenarchitektur - Fähigkeit, sich rasch in komplexe Legacy-Datenbanken einzuarbeiten - Erfahrung in der Analyse komplexer Datenstrukturen sowie im Identifizieren von Anomalien - Gute Kenntnisse in SQL-Datenbanken, insbesondere PostgreSQL und MS SQL Server - Kenntnisse in Python bzw. Erfahrung mit Python-Frameworks sind von Vorteil - Can-Do Attitude, pragmatisch, Hands-on Company Description IQ PLUS ist das spezialisierte Unternehmen für höchst qualifizierte IT-Fachleute auf Zeit. Und das seit über 30 Jahren und in jedem IT-Bereich.