• Plan and execute business-side data migration activities for Finance data objects in line with global, deployment, and country-specific requirements and timelines. • Perform and coordinate data cleansing activities, ensuring completion within agreed schedules and quality standards. • Complete data collection activities for manual and construction data objects. • Collaborate with IT teams to prepare, validate, and maintain value mappings between source and target systems. • Create and maintain master data lists for assigned Finance data objects where applicable. • Provide business insights and detailed information to technical teams to support data extraction and conversion from legacy systems. • Work closely with IT teams and Business Data Owners to identify and confirm country-specific data objects in scope. • Ensure data readiness and data quality throughout the entire migration lifecycle for assigned Finance data objects. • Verify that data is fit for purpose and aligned with business requirements and stakeholder expectations. • Review and formally approve upload files before and after data loads. • Perform manual (type-in) data loads into target systems where required. • Execute dual maintenance activities to ensure data consistency across systems. • Execute and approve data verification scripts and validation activities. • Act as the functional Single Point of Contact (SPoC) for assigned Finance data objects during migration and Hypercare phases. • Support defect management activities, ensuring timely resolution of data related issues.

• You will plan, develop and support the data engineering solutions that prepare, integrate and make data accessible for analytical and operational use across ASD • You will work across multiple data sources and formats, build reusable NiFi components, and shape the data flow and integration strategies that the broader analytical capability depends on • Plan and drive the development of data engineering solutions, balancing functional and non functional requirements • Build scalable and reusable NiFi templates and processors for data ingestion and transformation • Optimise performance and ensure high availability of data pipelines • Integrate data from multiple sources and formats into centralised systems • Perform data modelling to support efficient data storage, retrieval and analytics • Provide expert advice on data integration and uplift the capability of others in applying good integration practice • Monitor application of data standards, architectures and security to ensure compliance and scalability • Develop standards and guidelines for data protection, disaster recovery and storage management • Contribute to organisational policies and guidelines for data engineering • Collaborate with cross functional teams to define data flow and integration strategies • Lead the selection and development of data engineering methods, tools and techniques • Develop and promote continuous integration, deployment and monitoring practices

Role Description We’re looking for a Data Engineer to help design, build, and operate the data foundations that underpin Nscale’s platform, internal operations, and customer-facing capabilities. This is a high-impact, early-stage role. You’ll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals — from GPUs, clusters, customers, and internal systems — into reliable, scalable data products that ensure delivery at a previously unseen pace. You’ll help define how data is collected, modelled, served, and trusted across the company, and have the opportunity to build on Palantir Foundry, as well as other products. This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes. Qualifications - Deep, hands-on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large-scale data platform design. - Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets. - Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs. - Practical experience working in Git-based development workflows, including code reviews, version control, and CI/CD pipelines. - Comfort working in ambiguous, early-stage environments where requirements evolve quickly. - Strong communication skills — able to explain data concepts clearly to technical and non-technical stakeholders. - A bias toward ownership, pragmatism, and shipping useful solutions. Requirements - Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems. - Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics. - Clean, transform and structure the data to create a digital twin of Nscale. - Implement permissioning and manage access and security of the Foundry implementation. - Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights. - Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers. - Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward. - Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions. - Implement data quality checks, monitoring, and alerting to ensure data correctness and availability. - Codify data lineage, freshness, and consistency across systems. - Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company. - Continuously improve system resilience and observability. - Take end-to-end ownership of projects, from design through to production and iteration. - Help define standards, tooling, and ways of working for data at Nscale. - Contribute to technical decision-making as the company scales its platform and customer base. - Act as a thought partner to engineers and operators, not just a service function. Benefits - Highly competitive package (base + equity) with reviews every 12 months. - Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. - Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support. - Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments. - Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work. Interview Process - Phone screen - Coding interviews - Hiring Manager interview Equal Opportunities Statement We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.

• Create scalable data foundations within cross-functional project teams • Break down data silos and build robust infrastructures • Partner with clients from the initial idea through to implementation • Take architectural responsibility for building modern data platforms • Perform structured migration of existing on-premises architectures to the cloud-based Microsoft Fabric environment • Implement highly efficient ETL/ELT pipelines and structure lakehouses • Foster development of junior colleagues through mentoring