Senior Data Engineer

  • Hannover, Niedersachsen

JOB DESCRIPTION

Job Title: Senior Data Engineer

Location: Hannover, Germany

About Us: The client is a leading financial institution based in Hannover, Germany, committed to providing innovative banking solutions and services to our clients. They are at the forefront of leveraging advanced data technologies to enhance our decision-making processes and drive our business forward. They value talent, integrity, and a commitment to excellence.

Position Overview: They are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team in Hannover. The ideal candidate will have extensive experience in data engineering, particularly with Azure, and will be fluent in German. This role will involve designing, building, and maintaining data infrastructure and pipelines to support our data-driven initiatives.

Key Responsibilities:

  • Design, develop, and maintain robust data pipelines and architectures using Azure technologies.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Ensure data quality, integrity, and security across all data platforms.
  • Implement best practices for data management, storage, and processing.
  • Optimize data workflows for performance and scalability.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
  • Stay updated with the latest trends and advancements in data engineering and cloud technologies.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Engineer, with a minimum of 5 years in a similar role.
  • Strong proficiency in Azure data services (e.g., Azure Data Factory, Azure SQL Database, Azure Databricks, Azure Synapse Analytics).
  • Expertise in data modeling, ETL processes, and data warehousing solutions.
  • Experience with programming languages such as Python, SQL, and Spark.
  • Familiarity with big data technologies and frameworks.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Fluency in German (both written and spoken) is mandatory.

Preferred Qualifications:

  • Experience in the banking or financial services industry.
  • Knowledge of other cloud platforms and technologies.
  • Certifications in Azure data engineering or related areas.

What They Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and innovative work environment.
  • The chance to work on cutting-edge projects in the financial industry.
  • Flexible working hours and a healthy work-life balance.

How to Apply: Interested candidates are invited to submit their resume and cover letter outlining their qualifications and experience with the subject line "Senior Data Engineer Application - [Your Name]".

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