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Smartbroker AG

Data Team Lead (m/f/d)

full-time•Berlin

Summary

Location

Berlin

Type

full-time

Experience

5-10 years

Company links

WebsiteLinkedInLinkedIn

About this role

Your mission

For our significantly growing Data, AI & MarTech Department, we are looking for 2 technical team leads for 2 teams together covering the following topics. Each successful candidate is supposed to fulfil a respective subset of mentioned qualifications. 
As Data Team Lead you are playing a pivotal role in Smartbrokers data & AI journey. You will lead and mentor great talents and work at the intersection of business, data, and technology, drive innovation and data & AI adoption throughout the organisation. Your team is responsible for generating significant business value through data, enable data & AI driven decision making across departments, while ensuring compliance with data regulations. 

Job description:

  • Lead a team of highly skilled and motivated data engineers, software engineers, AI engineers, act as mentor for team members supporting themgrowing and unfolding their full potential
  • Be responsible forourcloud baseddata lake infrastructure, drive continuous improvement, manage data access, ensure compliant data handling and platform security
  • Manage end-to-end implementation of efficient data pipelines according to our dataconsumers‘ needs, from data ingestion, transformation to consumable data products
  • Own the technical implementation and components of your team as well as their operation and maintenance
  • Development and integration of data governance tools, e.g., automated data deletions or tracking consent management
  • Be responsible fortechnical integration of marketing tools
  • Manage the implementation of server-side-trackingand own our tracking infrastructure incl.Google Tag Manager,Firebase, Google Ads…

  • Develop andmaintainthe technical AI and machine learning infrastructure
  • Manage machine learning and Gen AI use case implementation using LLMs and RAG
  • Build AI and data features in close collaboration with product engineering teams
  • Closely collaborate with data consumers across theorganisationincl.Management,Product, Marketing, Finance, Client Support andOperations


Über die Smartbroker Gruppe


Your profile

  • University degree in a technical field: computer science, business informatics, natural sciences, or similar
  • Expert knowledge in machine learning, generative AI, LLMs & RAG, AIagentsand related technical tools (OpenAI,LangChain,Langfuse…)
  • Very goodpython & SQL programming skills, Java is a plus
  • Deep technical knowledge of moderncloud baseddata platforms (GCP/AWS,dbt, Firebase,BigQuery)
  • Familiarity with analytics tools like Google Tag Manager, Looker Studio, Google Analytics
  • Experience with implementation of server-side tracking and consent management
  • Strong understanding in structuring data models and efficient data processing of large data sets
  • Deep knowledge of Software Engineering best practices—from requirements specification, version control, CI/CD, and testing to deployment and monitoring of data pipelines and services
  • Familiarity with data & AI security, data regulations, data privacy requirements
  • Strong people and stakeholder management skills
  • Proactive, solution-oriented mindset, experience in leading and mentoring talents,strong senseof ownership
  • Strong English communication and presentation skills, German is a plus 
  • Interest in finance and fintech industry and a sense of humor


Benifits


Why us?

What you'll do

  • The Data Team Lead will lead and mentor a team of data, software, and AI engineers, taking responsibility for the cloud-based data lake infrastructure, continuous improvement, and compliant data handling. Responsibilities also include managing end-to-end data pipeline implementation and owning the technical components for data products and AI/ML infrastructure.

About Smartbroker AG

Die Smartbroker-Gruppe betreibt den Smartbroker – einen mehrfach ausgezeichneten Next Generation Broker, der als einziger Anbieter in Deutschland das umfangreiche Produktspektrum der klassischen Broker mit den äußerst günstigen Konditionen der Neobroker verbindet. Gleichzeitig betreibt die Gruppe vier reichweitenstarke Börsenportale (wallstreet-online.de, boersenNews.de, FinanzNachrichten.de und ARIVA.de). Mit mehreren Hundert Millionen monatlichen Seitenaufrufen ist die Gruppe der mit Abstand größte verlagsunabhängige Finanzportalbetreiber im deutschsprachigen Raum und unterhält die größte Finanz-Community. Pressekontakt Felix Rentzsch Head of Communications Telefon: +49 (0)176 4165 0721 Mail: [email protected] Investor Relations-Kontakt Sabrina Kassmannhuber Investor Relations Managerin Telefon: +49 (0)30 20 456 500 Mail: [email protected] Smartbroker Holding AG Ritterstraße 11 10969 Berlin URL: www.smartbroker-holding.de E-mail: [email protected] Vorstände: André Kolbinger (Vorsitzender), Michael Bulgrin, Oliver Haugk, Roland Nicklaus, Stefan Zmojda Aufsichtsrat: Silvia Gromoll, René Krüger, Marcus Seidel Verantwortlich für den Inhalt: Roland Nicklaus Amtsgericht: Sitz Berlin, Amtsgericht Charlottenburg HRB 96260 Handelsregister: USt-IdNr. DE 195117495

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Frequently Asked Questions

What does a Data Team Lead (m/f/d) do at Smartbroker AG?

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As a Data Team Lead (m/f/d) at Smartbroker AG, you will: the Data Team Lead will lead and mentor a team of data, software, and AI engineers, taking responsibility for the cloud-based data lake infrastructure, continuous improvement, and compliant data handling. Responsibilities also include managing end-to-end data pipeline implementation and owning the technical components for data products and AI/ML infrastructure..

Is the Data Team Lead (m/f/d) position at Smartbroker AG remote?

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The Data Team Lead (m/f/d) position at Smartbroker AG is based in Berlin, Germany. Contact the company through Clera for specific work arrangement details.

How do I apply for the Data Team Lead (m/f/d) position at Smartbroker AG?

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You can apply for the Data Team Lead (m/f/d) position at Smartbroker AGdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.
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