Data Engineer / Data Analyst: Performance Analytics and Management Information (MI) Birmingham, England
Job description
Job Title Data Engineer / Data Analyst: Performance Analytics and Management Information (MI)
Location Birmingham
Corporate Title Assistant Vice President / Associate
We are seeking a highly motivated and skilled Data Engineer/Data Analyst to join our team. The ideal candidate will have background in data analysis and be able to work with complex datasets.
Our MI team is responsible for providing data insights to support decision making in (Know Your Client / Anti- Money Laundering area. As a member of our team, you will Collab and work closely with business stakeholders to understand their needs and provide customised reports and dashboards.
You will also be responsible for developing and maintaining data pipelines to ensure accurate and up-to-date information is available. In addition to your technical skills, you must have a passion for data and a strong ability to translate complex information into actionable insights.
Our team values innovative thinking, critical problem solving, and the ability to work well under pressure.
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.
Hybrid Working
We understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables employees to reach a working pattern that works for them. Eligible employees have the opportunity to work from the office and remotely from home (subject to the role’s eligibility).
You can expect
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
Design, develop and maintain scalable data pipelines for complex data sets
Collaborate with cross-functional teams to understand and integrate data from multiple sources
Monitor and interpret data to help inform business decisions
Solve problems and identify areas for improvement in data processes
Your skills and experience
Strong analytical skills with the ability to work with complex datasets
Ability to provide solutions to complex problems
Independent and creative thinking
Experience in data engineering, data analytics or related field
Proficiency in programming languages such as Python or SQL
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
We value diversity and as an equal opportunities’ employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g., screen readers, assistive hearing devices, adapted keyboards)
About us and our teams
Deutsche Bank is the leading German bank with strong European roots and a global network.
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.
