DWS - Technology Specialist – Data Engineering (f,m,d) at Deutsche Bank
Frankfurt am Main, Hessen, Germany -
Full Time


Start Date

Immediate

Expiry Date

06 May, 25

Salary

0.0

Posted On

06 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Data Governance, Soft Skills, Database, Data Quality, Sql, Design Patterns

Industry

Information Technology/IT

Description

WHAT WE ARE LOOKING FOR:

Your natural curiosity and willingness to learn drives you to explore new ideas and approaches, while maintaining a deep respect for existing accomplishments, always seeking to understand their foundations and potential areas of improvement.
You possess a strong understanding of emerging trends and technologies, along with the ability to assess their relevance and impact for your team and other business units, enabling you to balance innovation with pragmatic solutions.
Your work philosophy aligns closely with the principles of the Agile Manifesto, valuing collaboration, responsiveness, and continuous improvement in delivering results.
You have a natural interest in understanding other business units and how they play their part in the overall organization. You have also understood that technology has the unique opportunity to communicate across silos and often can break those apart.
You are willing to take ownership of tasks and products, and you are able to deliver high quality results in line with DWS’ core values.
You enjoy working with our users and customers in dynamic environments and therefore have strong collaboration, communication and expectation management skills.
You can quickly deliver results even in times of transient uncertainty.

REQUIRED SOFT SKILLS

  • Strong analytical thinking
  • Deep understanding of data quality
  • Willingness to understand the underlying business processes

TECHNICAL REQUIREMENTS

  • Data modeling expertise
  • Hands-on ETL pipeline design and development skills
  • Understanding of database, data warehouse design, data lake design patterns
  • Programming and SQL skills
  • Data governance and lineage knowledge
  • AI/ML skills will be beneficial
Responsibilities
  • Design efficient data architectures
  • Ensure data quality, integrity and accessibility
  • Enable data driven decision making
  • Implement data security and data loss prevention measures
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