Data Engineer, Deutsche Bank

Salary not provided
SQL
Python
Junior, Mid and Senior level
London

Office located in Upper Bank Street, London

Deutsche Bank

Investment bank and financial services company

Job no longer available

Deutsche Bank

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Job no longer available

Salary not provided
SQL
Python
Junior, Mid and Senior level
London

Office located in Upper Bank Street, London

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Role

Who you are

  • Experience with Python and SQL programming languages and experience in the creation and implementation of microservice architectures and APIs
  • Understanding of AI frameworks and algorithms, experience in applying GenAI and Prompt Engineering
  • Experience in the creation and implement of ETL pipelines to pull, transform, and analyse data from various sources
  • A degree from an accredited institution with a focus in Engineering, Computer Science, or a related discipline
  • Comfortable working with Agile Software Development Life Cycle processes and tools
  • Excellent problem-solving skills. Strong in collaboration, communication and working out loud

What the job involves

  • This role offers the successful candidate the promise of playing a key role in a dynamic, agile, and collaborative team that are reshaping the Deutsche Bank organisation from front to back, making huge impact through Artificial Intelligence, Machine Learning and Automation
  • This is a full-stack role and is a combination of a technical specialist, data scientist and a business analyst. The successful candidate will help us to analyse large quantities of raw data and turn it into meaningful information which we can use to streamline and improve processes across our entire organisation
  • Creating, deploying, and supporting Python based microservices and Application Programming Interface (APIs)
  • The analysis of large data sets from various sources of structured and unstructured data
  • Analysing data and generating statistical information to identify trends and patterns
  • Translating technical data to simple language and giving recommendations and conclusions to stakeholders
  • Developing interactive dashboards that combine visuals with real-time data
  • Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance

Salary benchmarks

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Insights

11% employee growth in 12 months

Company

Company benefits

  • Home office flexible work time
  • Annual leave & more
  • Support & Counselling
  • Health insurance
  • Health Check & Eye Test
  • Sick pay
  • Rewards and everyday benefits
  • Pensions

Our take

Despite its roots in the nineteenth century, Deutsche Bank has seen strategic transformation at countless stages to remain competitive. For example, it recently launched Vert, a new digital payments company for SMEs, in collaboration with Fiserv. As a result, the company successfully filled the gap in the market for a user-friendly, all in one solution which would enable merchants to accept payments and manage money.

The company continues to benefit from its scale and reputation. Despite ongoing criticisms, its strong European ties and a global network means Deutsche Bank is well placed to help clients navigate through geopolitical and macroeconomic shifts, something that can’t be said so confidently of its competitors. Today, it operates in circa 60 countries.

Moving forwards, the company is focused on aligning more closely to environmental, social and governance (ESG) criteria to facilitate over €500B in sustainable finance and investments between 2020 and 2025.

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Freddie

Company Specialist at Welcome to the Jungle