Senior Data Engineer
Jetzt bewerben

Senior Data Engineer

Leipzig Vollzeit 54000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
Jetzt bewerben
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Auf einen Blick

  • Aufgaben: Transform our data landscape and design innovative data solutions.
  • Arbeitgeber: Join a dynamic team within EEX Group and Deutsche Börse Group.
  • Mitarbeitervorteile: Enjoy flexible working, an attractive salary, and dedicated learning opportunities.
  • Warum dieser Job: Be part of a growing energy industry and drive impactful innovations.
  • Gewünschte Qualifikationen: Degree in IT/Engineering or IT specialist apprenticeship; experience in Data Architectures required.
  • Andere Informationen: Ideal for those with banking or commodity experience; strong English and intermediate German skills needed.

Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.

Job Title: Data Innovations DriverYour key responsibilities will be to drive innovations by transforming our data landscape into a federated data mesh, sharing data across Deutsche Boerse Group.Key Tasks:Transforming our traditional Business Data Warehouse approach into a Federated Data MeshDesigning specific data-based solutions for different parts of the organization using state-of-the-art technologies and security toolsDeveloping design criteria for the ECC Data DomainAnalyzing our Data Technologies portfolio for potential improvements and implementing new featuresSupporting business departments in creating requirements and translating them into software designsEnsuring compliance with internal and external standards, regulations, procedures, and best practicesAbout You:You hold a degree in Information Technology/Engineering or have completed an IT apprenticeshipYou bring several years of experience in designing Data Warehouse and Data Lake/Data Mesh Architectures, preferably in an agile/scrum-based environmentYou possess routine familiarity in Requirements Engineering and strong experience in Cloud-Based Data Technologies solutions, preferably based on GCP or AzureYou have strong analytical skills and ideally have experience working in a banking and/or commodity environmentYou can communicate excellently in Business English and German on an intermediate levelWhat We Offer:An attractive salary package with benefits including childcare facilities, meal allowance, job ticket, pension contribution, sport and recreational eventsFlexible mobile working arrangementsInvestment in your development through dedicated learning and training opportunitiesA place in a dynamic and international team within EEX Group and Deutsche Börse GroupA long-term perspective in the constantly growing and evolving energy industryEstimated Salary: €80,000 – €110,000 per year (dependent on location and experience)

Senior Data Engineer Arbeitgeber: European Commodity Clearing AG

At Deutsche Börse Group, we pride ourselves on being an excellent employer, offering a dynamic and international work environment that fosters innovation and collaboration. Our commitment to employee growth is reflected in our investment in dedicated learning and training opportunities, alongside an attractive salary package and flexible mobile working arrangements. Join us in the evolving energy industry, where your contributions will drive meaningful change and shape the future of data solutions.
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Kontaktperson:

European Commodity Clearing AG HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Senior Data Engineer

✨Tip Number 1

Familiarize yourself with the concept of a Federated Data Mesh. Understanding this architecture will not only help you in interviews but also demonstrate your proactive approach to learning about the latest data solutions.

✨Tip Number 2

Brush up on your knowledge of Cloud-Based Data Technologies, especially GCP and Azure. Being able to discuss specific tools and technologies during your conversations will show that you're well-prepared and knowledgeable.

✨Tip Number 3

Highlight any experience you have in agile or scrum environments. This is crucial for the role, and sharing relevant examples can set you apart from other candidates.

✨Tip Number 4

Since communication skills are emphasized, practice articulating complex data concepts in both English and German. This will help you convey your ideas clearly and effectively during discussions.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer

Data Warehouse Design
Data Lake Architecture
Data Mesh Implementation
Cloud-Based Data Technologies (GCP, Azure)
Requirements Engineering
Agile/Scrum Methodologies
Analytical Skills
Software Design
Compliance Knowledge
Communication Skills in Business English
Intermediate German Language Skills
Problem-Solving Skills
Collaboration Skills
Adaptability to New Technologies

Tipps für deine Bewerbung 🫡

Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Understand the key responsibilities and requirements, especially the transition from a traditional Business Data Warehouse to a Federated Data Mesh.

Highlight Relevant Experience: In your application, emphasize your experience in designing Data Warehouse and Data Lake/Data Mesh Architectures. Provide specific examples of projects where you utilized Cloud-Based Data Technologies, particularly GCP or Azure.

Showcase Analytical Skills: Demonstrate your strong analytical skills by including examples of how you've analyzed data technologies and derived new features in previous roles. This will show your capability to contribute to the company's data landscape.

Tailor Your Communication: Since excellent communication skills in Business English and German are required, ensure that your application is well-written in both languages. Tailor your cover letter to reflect your ability to communicate effectively with various business departments.

Wie du dich auf ein Vorstellungsgespräch bei European Commodity Clearing AG vorbereitest

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with Data Warehouse and Data Lake/Data Mesh Architectures. Highlight specific projects where you utilized cloud-based technologies like GCP or Azure, and be ready to explain your design choices.

✨Demonstrate Your Analytical Skills

Prepare examples that showcase your strong analytical skills. Discuss how you've identified potential improvements in data technologies and derived new features in past roles, especially in an agile/scrum environment.

✨Communicate Effectively

Since excellent communication skills are crucial, practice explaining complex technical concepts in simple terms. Be ready to switch between Business English and German, as this will demonstrate your adaptability and proficiency.

✨Understand the Company’s Data Strategy

Research Deutsche Börse Group's current data landscape and their move towards a Federated Data Mesh. Being knowledgeable about their strategies will show your genuine interest in the role and help you align your answers with their goals.

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