Senior Consultant Cloud Data Engineering / Databricks (m/w/d) in Hamburg
Deloitte
About the role
About
Deloitte offers leading audit and consulting services in Audit & Assurance, Tax & Legal, Consulting, and Advisory for nearly 90% of the Fortune Global 500® and numerous private companies. We deliver innovative thinking, solve complex challenges, and promote sustainable growth. With approximately 470,000 employees worldwide, we offer excellent career opportunities – supported by a strong "we" culture and a diversity of perspectives and skills.
Do you want to help clients make strategic decisions about AI & Data in the Consulting – Artificial Intelligence and Data area? Our team supports everything from defining the AI & Data strategy, implementing large-scale data platforms and visual analytics programs, to introducing smart "Age of With" solutions. Secure our shared success and make a difference with us: as a Senior Consultant Data Engineering / Databricks (m/f/d).
Locations: Berlin, Düsseldorf, Frankfurt (Main), Hamburg, Hannover, Cologne, Munich, and Stuttgart.
Your Impact
As a Senior Consultant Data Engineering (m/f/d) with a focus on Databricks, you will be involved in the development and optimization of data pipelines and data architectures for the efficient analysis and processing of large amounts of data.
- Conception: You will conceptualize data platforms with Databricks and the underlying cloud infrastructure for the implementation of scalable ETL pipelines for batch and streaming processing.
- Implementation: As part of the introduction and continuous optimization, you will contribute your expertise to the implementation of Databricks-based data platforms.
- Consulting: Develop future-oriented Data & AI Engineering solutions using the most innovative technologies, helping our clients leverage data as the basis for business success!
- Collaboration: In collaboration with cross-functional expert teams, you will understand business requirements and be able to translate them into technical solutions together.
- Shaping: You will actively contribute to the development of best practices to continuously optimize the service portfolio and ensure internal knowledge transfer by mentoring junior colleagues.
Your Skillset
- Several years of professional experience with a focus on the conception, development, or optimization of Lakehouse data platforms in the cloud based on Databricks.
- A degree in Computer Science (Business Informatics), Engineering (Business Engineering), Economics with a focus on Computer Science, or comparable fields.
- Practical experience with Databricks, particularly with core components such as Delta Lake, Unity Catalog, Workflows, Databricks SQL, and Notebooks.
- Programming skills in Python, Java, or Scala, as well as expertise in SQL and data processing with Apache Spark.
- Willingness to travel, and fluent German (C1) and English, both written and spoken.
Your Opportunity
- Best-in-class further training at Deloitte University, as well as through individual qualification offers and training.
- Comprehensive development opportunities through structured career planning, inclusive leadership, secondment programs, project-based job rotation, and support for social engagement and corporate volunteering.
- Work-life balance thanks to mobile working & part-time options, sabbaticals, and family services, e.g., for supporting relatives, parental leave counseling, and much more.
- Focus on health & fitness through regular health days, collaborations with fitness providers, and support for sports and team events.
- Attractive employer benefits including bike and car leasing, a company smartphone for private use, and flexible working models such as trust-based working hours and EU remote working.
- Diverse opportunities for shaping your role and active promotion of an inclusive corporate culture – including through our Diversity & Inclusion employee networks.
Are you ready? Make a difference with us!
Our recruiting team looks forward to receiving your application documents via our online form. A cover letter and a photo are not required.
Equal opportunities for all: We welcome applications from people who are as diverse as we are – regardless of age, disability, ethnic origin and nationality, gender, religion, sexual orientation, or social background. Still have questions? You can find all information about our application process in our application FAQs.
Your contact for career-related questions: Our Talent Acquisition team – Aleksandra, Anja, Julia, Lea, Lisa, Silja, and their teams – will be happy to assist you with any questions regarding your career at Deloitte. You can reach us by email at career@deloitte.de or by phone at +49 211 87724111.
Job ID: 48265
Requirements
- Mehrjährige Berufserfahrung mit Schwerpunkt auf der Konzeption, Entwicklung oder Optimierung von Lakehouse-Datenplattformen in der Cloud auf Basis von Databricks
- Praktische Erfahrung im Umgang mit Databricks, insbesondere mit zentralen Komponenten wie Delta Lake, Unity Catalog, Workflows, Databricks SQL und Notebooks.
- Programmierkenntnisse in Python, Java oder Scala sowie Expertise im Umgang mit SQL und der Verarbeitung von Daten mit Apache Spark
- Reisebereitschaft sowie Deutsch (C1) und Englisch sehr gut in Wort und Schrift
Responsibilities
- Konzeption von Datenplattformen mit Databricks sowie die zugrunde liegende Cloud-Infrastruktur zur Umsetzung skalierbarer ETL-Pipelines für Batch- und Streaming-Verarbeitung.
- Umsetzung von Databricks-basierten Datenplattformen im Rahmen der Einführung und kontinuierlichen Optimierung.
- Entwicklung zukunftsorientierter Data & AI Engineering Lösungen durch den Einsatz innovativster Technologien, welche unseren Kunden dabei helfen, Daten als Basis für Geschäftserfolge zu nutzen!
- Umsetzung von Geschäftsanforderungen in technische Lösungen in Kollaboration mit funktionsübergreifenden Expert:innenteams.
- Aktive Entwicklung von Best Practices zur stetigen Optimierung des Service Portfolios und Sicherung des internen Wissenstransfers in der Anleitung juniorer Kolleg:innen.
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