(Senior) Data Engineer (m/f/d)

(Senior) Data Engineer (m/f/d)

Hamburg Vollzeit 43200 - 72000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Design and maintain scalable data management systems while optimizing data pipelines.
  • Arbeitgeber: Join a dynamic FinTech company that values innovation and personal development.
  • Mitarbeitervorteile: Enjoy a hybrid work model, 30 vacation days, and access to fitness perks.
  • Warum dieser Job: Be part of a creative team driving impactful projects in a collaborative environment.
  • Gewünschte Qualifikationen: Bachelor's degree in IT or related field with 4+ years of data experience required.
  • Andere Informationen: Work from the office two days a week at a scenic location near the Elbe.

Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.

WHAT YOU SHOULD KNOW ABOUT US:

Do you feel at home in data analysis and want to get the best out of yourself? With us, you will have a lot of creative freedom right from the start and, thanks to a high degree of co-determination, you can actively drive forward various topics that are still in their infancy.

You also decide where you work from together with the international core team . You should be prepared to come to the office at the fish market two days a week.

YOUR RESPONSIBILITIES:

  • Design, setup, installation, testing and maintenance of highly scalable data management systems
  • Development and maintenance of ETL processes for integrating data from different sources
  • Optimising the performance of data pipelines and data architecture
  • Ensuring data availability and quality for analyses and reports
  • Implementing data governance and security measures to ensure data integrity and compliance with regulations
  • Continuously evaluating new data technologies and tools to improve data processing and storage capabilities

YOUR PROFILE:

  • Completed (Bachelor’s) degree in the field of (business) computer science, information technology, mathematics or a related field
  • At least 4 years of relevant professional experience in the field of data technology or in the above-mentioned area of responsibility
  • Proven experience in the technical management of project teams
  • Good programming skills (Python) as well as knowledge of SQL and experience with relational databases (e.g. MySQL, PostgreSQL)
  • Understanding of and experience with AWS services desirable
  • Knowledge of data warehousing concepts and tools (e.g. S3, Redshift or similar) and data visualisation tools (Power BI)
  • Experience with version control systems (Git) and CI/CD pipelines an advantage
  • Fluency in German and English is required
  • Strong problem-solving skills and attention to detail

YOUR BENEFITS:

  • Hybrid working model with flexible use of mobile working – you decide (from) where you work.
  • 20 days of workation in another European country.
  • Longing for your colleagues? Then we offer you attractive offices in an excellent location with a great view of the Elbe, including a gym and gaming room, height-adjustable desks, laptop bars and much more.
  • You will enjoy 30 days of vacation per year and have the 24.12. and 31.12. off all day.
  • Competitive remuneration package including extensive additional financial benefits.
  • Flat hierarchies so that decisions can be implemented quickly and professionally
  • A corporate culture that promotes personal development and combines the energy and innovation of a FinTech with the business orientation of a bank.
  • Wherever you are – do unlimited sport throughout Germany with our partner EGYM Wellpass or in Bulgaria with our partner MultiSport.
  • Whether by e-bike, cargo bike or classic bike – with your leased company bike, you are environmentally friendly on the road in Germany.
  • And when the weather is bad in Hamburg, you can use your Germany-wide job ticket, which we subsidize. In Sofia we offer you a subsidy for public transport.
  • We also take out supplementary insurance for preventive check-ups and dental treatment for you.

YOUR APPLICATION:

Have we sparked your interest and the job suits you? We are happy to hear that!

Apply stating your salary expectations and your earliest possible starting date, via our online application form or by e-mail to

Let’s shape the future of banking together!

#J-18808-Ljbffr

(Senior) Data Engineer (m/f/d) Arbeitgeber: Varengold Bank AG

At our company, we pride ourselves on being an excellent employer that fosters creativity and innovation in the field of data engineering. With a hybrid working model, flexible hours, and a vibrant office located at the picturesque fish market, employees enjoy a perfect blend of work-life balance and collaboration. We offer extensive benefits, including 30 vacation days, opportunities for personal development, and a supportive culture that encourages professional growth, making it an ideal place for those looking to make a meaningful impact in their careers.
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Kontaktperson:

Varengold Bank AG HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: (Senior) Data Engineer (m/f/d)

✨Tip Number 1

Make sure to showcase your experience with data management systems and ETL processes during the interview. Be prepared to discuss specific projects where you optimized data pipelines or ensured data quality.

✨Tip Number 2

Familiarize yourself with the latest AWS services and data warehousing concepts. Being able to speak knowledgeably about these technologies can set you apart from other candidates.

✨Tip Number 3

Highlight your programming skills, especially in Python and SQL. Consider preparing a small coding example or discussing a challenging problem you solved using these languages.

✨Tip Number 4

Since the role involves working closely with an international team, emphasize your fluency in both German and English. Share any experiences you have had working in diverse teams to demonstrate your adaptability.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Senior) Data Engineer (m/f/d)

Data Analysis
ETL Processes
Data Pipeline Optimization
Data Architecture
Data Governance
Data Security
Data Integrity
Compliance Knowledge
Programming Skills (Python)
SQL Proficiency
Relational Databases (MySQL, PostgreSQL)
AWS Services Knowledge
Data Warehousing Concepts
Data Visualization Tools (Power BI)
Version Control Systems (Git)
CI/CD Pipelines
Problem-Solving Skills
Attention to Detail
Fluency in German and English

Tipps für deine Bewerbung 🫡

Understand the Company Culture: Before applying, take some time to understand the company culture and values. This will help you tailor your application to reflect how you align with their mission and work environment.

Highlight Relevant Experience: Make sure to emphasize your relevant professional experience in data technology. Include specific examples of projects you've worked on, particularly those involving ETL processes, data management systems, and programming skills in Python and SQL.

Showcase Your Skills: Clearly outline your technical skills, especially your knowledge of AWS services, data warehousing concepts, and version control systems like Git. Mention any experience with data visualization tools such as Power BI.

Be Clear About Your Availability: In your application, state your earliest possible starting date and salary expectations as requested. This shows that you are serious about the position and helps streamline the hiring process.

Wie du dich auf ein Vorstellungsgespräch bei Varengold Bank AG vorbereitest

✨Showcase Your Technical Skills

Be prepared to discuss your programming skills, especially in Python and SQL. Bring examples of past projects where you designed or optimized data management systems, as this will demonstrate your hands-on experience.

✨Understand the Company Culture

Familiarize yourself with the company's hybrid working model and their emphasis on creative freedom. Be ready to discuss how you can contribute to a collaborative environment and drive forward innovative data solutions.

✨Highlight Problem-Solving Abilities

Prepare to share specific instances where you've tackled complex data challenges. Emphasizing your strong problem-solving skills and attention to detail will resonate well with the interviewers.

✨Discuss Data Governance and Security

Since the role involves implementing data governance measures, be ready to talk about your understanding of data integrity and compliance regulations. This shows that you are not only technically proficient but also aware of the importance of data security.

(Senior) Data Engineer (m/f/d)
Varengold Bank AG
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  • (Senior) Data Engineer (m/f/d)

    Hamburg
    Vollzeit
    43200 - 72000 € / Jahr (geschätzt)

    Bewerbungsfrist: 2026-12-10

  • V

    Varengold Bank AG

    100 - 200
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