Data Engineer

Position Overview

Job Title Data Engineer

Location London

Corporate Title Analyst

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. 

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect: 

• Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
• Competitive salary and non-contributory pension
• 30 days’ holiday plus bank holidays, with the option to purchase additional days
• Life Assurance and Private Healthcare for you and your family
• A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
• The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

Your key responsibilities

• 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

Your skills and experience

• 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

How we’ll support you

• Training and development to help you excel in your career
• Flexible working to assist you balance your personal priorities
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.

Deutsche Bank in the UK is proud to have been named a The Times Top 50 Employers for Gender Equality 2024 for five consecutive years. Additionally, we have been awarded a Gold Award from Stonewall and named in their  Top 100 Employers 2024 for our work supporting LGBTQ+ inclusion.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.