Finance Data Engineer

3 мес. назад

GermanyEurope

sapaidata pipelinesautomationdata protection

Role focuses on designing and deploying automated finance data pipelines with AI-driven validation and data protection.

О компании

is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  
As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  
We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers.  We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

Обязанности

This role sits at the intersection of finance automation and data sovereignty. As Finance Data Engineer, you will own the execution of 's agentic finance build: designing and deploying automated pipelines, building AI-driven validation layers, and making the company's finance data flows self-correcting. You will work closely with the Principal SAP Finance & Data, who sets the architecture, while you own the implementation. A critical part of this mandate is data protection. You will define the classification and routing framework for all Finance AI workloads, ensure that no sensitive data reaches public LLMs or unapproved systems, and maintain the sovereignty controls that keep compliant with its government contract obligations.
Own the agentic finance build roadmap: identify, prioritise, build, test, and iterate on AI agents that replace manual finance workflows, using frameworks such as LangChain, CrewAI, or AutoGen, from prompt design through to production deployment
Design and maintain automated data pipelines connecting SAP, Abacum, and Citi, and build AI-driven validation layers that govern data quality across the Finance stack
Define and maintain the data classification and routing framework for all Finance AI workloads, specifying which data is classified or export-controlled, which models and environments are approved for each data tier, and ensuring all agents operate within those boundaries at all times
Design and implement self-healing workflows in which agents detect their own errors, apply correction logic, and escalate only genuine exceptions to human review, and monitor pipelines using observability tooling such as LangSmith
Partner with the ICS Lead and Legal to ensure every automated workflow is audit-compliant, leaves a full traceable record, and meets the data sovereignty requirements of 's government contracts

Будет плюсом

Experience with Abacum or an equivalent FP&A tool, or familiarity with on-premise or air-gapped LLM deployment for classified data environments
Working knowledge of German at a business level

Условия

Competitive salary and VSOP options
Relocation support : up to €2,500 and 4 weeks temporary accommodation
Learning : €500/£450 yearly allowance
Health & wellness : gym membership and mental health support (Nilo.health)
Social : regularly company events and monthly social allowances
Enhanced parental leave : 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers.
Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
These are the core benefits across all locations, there may be additional benefits in certain locations.
is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Другое

Have built and maintained production-grade data pipelines in a finance, scale-up, defence, or regulated environment, with hands-on SAP experience including FI/CO data extraction, BAPIs, and OData services
Write production-quality Python (pandas, requests, FastAPI) and SQL (CTEs, window functions, complex queries) without reliance on others, and have integrated REST and SOAP APIs with pipeline tools such as Azure Data Factory, dbt, or Airflow
Have designed and deployed AI agents in a production context, with practical experience of frameworks such as LangChain, CrewAI, or AutoGen
Understand accounting fundamentals, including double-entry bookkeeping, intercompany eliminations, and treasury reconciliation, at a level that enables you to validate that your pipelines produce financially coherent outputs
Are aware of data sovereignty requirements and export-control frameworks such as ITAR and EAR, and can communicate technical work clearly across Finance, Engineering, Legal, and external auditors
Note: We operate in an industry where women, as well as other minority groups, are systematically   under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.
’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: is part of, and often leading, historic leaps forward
In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, has already been selected for multiple significant government contracts
We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about