Jetzt als Senior Data Engineer (m/f/x) – Trade Finance bei Deutsche Bank in Berlin starten – Deine Chance wartet

Our Berlin location is our most recent addition to our global network of tech centres and growing strongly. We are committed to building a diverse workforce and to creating excellent opportunities for talented engineers and technologists. Our tech teams and business units use agile ways of working to create #GlobalHausbank solutions from our home market.

Trade Finance and Lending (TF&L) is one of the leading business departments in the Corporate Bank working with clients around the globe. It has great dependency on IT platform to service the Bank’s clients. The group is working on technology refresh of their IT platform to enable new services for customers as well as to achieve next level of business processes automation.

In-house IT team already achieved great success designing, building and rolling out into production its strategic platform for TF&L business. Based on that success there is a further desire to build towards our strategic architecture.

Your primary focus will be to develop the strategic data platform central to the tech transformation of one of the key revenue generating businesses in the Bank.

-> You love this job but feel you cannot tick 100% of the boxes? Send us your CV anyway!

Your key responsibilities

• Collaborate with application teams to develop target state data architecture serving them – core transport, data warehous e, data feeds , in-memory data grid, analytics engine

• Develop strategic data modeling toolset – a central data model covering all aspects of the business, complete with versioning and schema evolution support, documentation tooling

• Develop usage patterns for these technologies so that project developers have fun using it

• Ensure 99% uptime during business hours – including developing monitoring and disaster recover y approaches – for both production and testing environments , as well as support documentation and relationship with the production support team, keep it up and running

• Take part in direct business delivery projects – such as adoption of new data feeds, app integrations and user-facing data-grid-based apps – to stay in touch with reality :)

Your skills and experiences

• Data Engineering and/or senior software engineering experience

• V ery good understanding of distributed systems , schema evolution topics, very good math and algorithms complexity , very good understanding of networ k s and databases

• Great knowledge and experience with Kafka, data warehousing, columnar databases (we use ClickHouse ) , in-memory data grid s (we use a well-established in-house solution).

• Experience with the JVM / Java / Kotlin / Scala is a must . JS / TypeScript is a plus. Haskell / ML family / LISP is a plus (note: we don’t FP much). Python and ML toolchain is a plus.

• Experience building organization-level data models, and related tools / docs is a big plus.

• Fluent written and spoken English – you will communicate a lot on your job, global team.

What we offer

• Competitive salary and benefits , including 30 days of holiday

• Hybrid model of remote work and office days

• Working at the forefront of financial services technology at scale!

In case of any recruitment related questions, please get in touch with Sofya Veselkova.

Contact: Sofya Veselkova +49(69)91042991