Our client, Deutsche Bank, is a global banking business with strong roots in Germany and operations in over 70 countries. Their large but focused footprint gives them an established position in Europe plus a significant presence in the Americas and Asia Pacific. Deutsche Bank offer their clients commercial and investment banking, retail banking and transaction banking as well as ground-breaking asset and wealth management products and services.
On behalf of Deutsche Bank, AMS are now looking for a Lead Scala/Big Data Engineer to work in their credit risk team based in London -Hybrid on a PAYE basis.
You will be responsible for working collaboratively in a cross functional SAFe Agile Scrum feature team to deliver solutions for business partners in the Credit Risk domain. All team members are committed to working together to deliver front and back end components along with automated tests that ensure the quality of deliverables. The team partners directly with key stakeholders and end users in a globally distributed organization to understand requirements and collectively design and develop the best possible solutions.
Overview:
We are looking for strong big data development skills to enhance our team's technical capabilities. The team will be working across multiple technologies and will need to work together to ensure delivery of business value. This will mean sharing your technical expertise with teammates and being willing to learn and take up tasks with technologies that may not be your primary skill set.
Key responsibilities:
- Analyze user requirements and design appropriate big data solutions that best fit those requirements.
- Work in a cross functional Agile Scrum team to design, develop, test and maintain solutions.
- Ensure that solutions are in line with department and domain architecture strategies and contribute to defining and improving those strategies.
- Help build, maintain and continually implement tests for an automated testing framework that drives integration tests front to back across components.
- Work collaboratively - sharing knowledge and helping mentor teammates in your areas of expertise.
Skills and Qualifications:
- A Strong hands-on technical lead with 7+ years of software development experience using Scala, Scala, Java, Spring, Spark Framework, R, Python and Cloudera Distribution of Hadoop.
- Excellent problem solving skills in a distributed, multi-technology ecosystem.
- Architectural Design Patterns, Highly optimized, Low latency and Massively Scalable Platforms.
- Strong understanding of concurrency, distributed systems development and performance optimization.
- Experience of implementation and design of Business Critical, calculation and data intensive data flows using one of key Public Cloud GCP/AWS/Azure, GCP preferred.
- Big Data Technologies Experience Essential - Hadoop, Snowflake, Google BigQuery
About the client
Deutsche Bank's Values:
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.
Please note that for the duration of this assignment you will be working as an external resource engaged by AMS based on site at Deutsche Bank.
AMS's payroll service is in partnership with Giant, we have worked with them for many years and have good processes in place to ensure you get the best service. If you are successful in your application for this role, your contract will be via Giant.