Senior Data Engineering- Rebtech

Are you an experienced fullstack engineer who wants to build modern cloud-based SaaS solutions? This role offers the opportunity to work across the full stack, influence architecture, and contribute to scalable, high-impact solutions within Verified’s CLM and eSign domain. About Verified Verified started with solutions for electronic signing, identity verification, and contract management. In close collaboration with its customers, the company has since evolved into a RegTech provider of digital workflows for Anti-Money Laundering and supplier due diligence. The platform is API-first and delivered as SaaS and PaaS, built for secure and scalable cloud-based services across electronic signing, electronic identification and AML capabilities. An “AI-first” approach is also being adopted, with AI agents and services integrated both internally and into customer-facing products. The team consists of dedicated colleagues across the Nordics and Europe and the company culture is built on shared ownership, where all employees contribute to building the future of Verified and take responsibility for what is promised and delivered, both internally and in customer collaborations. These values have been central to the company’s journey so far and will continue to be important as it grows and aims for even higher goals. About the role and the team As a Senior Fullstack Engineer within the CLM and eSign domain, you will play a key role in developing and evolving cloud-native SaaS solutions running in AWS. Working across both frontend and backend services, you will contribute to secure, scalable, and resilient systems that support business-critical signing and contract workflows. You will join a high-autonomy team where ownership is shared and responsibility spans the full lifecycle of features and services, from planning and development to deployment, monitoring, and continuous improvement. The team is focused on scalability, engineering excellence, and accelerating innovation through modern technologies and AI. Working in an agile environment, you will collaborate closely with product and engineering colleagues to deliver high-quality solutions and continuously improve the platform. Key responsibilities include: Design, develop, and maintain scalable microservices and web applications in AWS Contribute to architecture and technical decisions within the team Support the transition towards a shared infrastructure across eSign systems Integrate AI capabilities such as AI agents and RAG into products and development workflows Take ownership of features throughout the full lifecycle, from planning to release and production monitoring Troubleshoot, debug, and resolve production issues Drive engineering quality through code reviews, testing, CI/CD, and best practices Contribute to continuous improvement in architecture and engineering practices About you We believe you are a self-driven engineer who enjoys taking ownership and working in high-autonomy teams. You are comfortable working across the stack in modern SaaS environments and motivated by building scalable cloud-based solutions that create real value for users and customers. You are curious about new technologies, including AI, and interested in how they can be applied across both products and the software development lifecycle. You enjoy solving technical challenges and continuously improving systems, processes, and ways of working. To succeed in this role, we believe you likely bring: 10+ years of experience as a Fullstack Engineer in cloud-based SaaS environments Strong experience with Node.js, ASP.NET, and React Experience building microservices and web applications Hands-on experience with AWS and serverless architectures Good understanding of modern application architecture, scalability, and security Experience or interest in AI tools and technologies used in software development Experience working with databases such as SQL Server, DynamoDB, MongoDB, or Elasticsearch Professional proficiency in English It is a plus if you have experience from FinTech/RegTech or other regulated environments, as well as experience with Event-Driven Architecture or Event Sourcing. Pracitical Information Start: According to the agreement Extent: Full-time Location: Solna We look forward to receiving your application! Do you think this role could be a good fit for you, or perhaps someone you know? We review applications on an ongoing basis and may fill the position before the final application deadline, so don’t hesitate - submit your application today. The recruitment process is handled by Ed:Za Group. If you have any questions or concerns regarding the role or the process, you are warmly welcome to contact us.

Vår kund inom banksektorn leder vägen i digital transformation genom att bygga intelligenta HR-lösningar. Här får du en nyckelroll i att utveckla en datadriven kultur där dina tekniska insikter direkt påverkar verksamhetens framgång. Om tjänsten Som data engineer i denna roll kombinerar du teknisk expertis med verksamhetsförståelse för att utveckla vår kunds HR Analytics-plattform. Du kommer främst att arbeta med att bygga och underhålla datamodeller i Databricks med PySpark och SQL. Du kommer även sitta med övervakning och bygga vidare på automatiserade flöden i Databricks Workflows. De viktigaste kompetenserna för denna tjänst är också Kimball och praktisk tillämpning av SCD1 & SCD2 och erfarenhet av kodhantering via Azure Devops. Du erbjuds Du erbjuds en spännande miljö där teknik möter personalstrategi, med goda möjligheter att fördjupa din kompetens inom modern dataanalys och cloud-baserade plattformar. Den här rollen innebär att du arbetar som datadeveloper/dataingenjör inom en HR Analytics-plattform. Din huvuduppgift är att bygga, underhålla och optimera datakedjor som samlar in och strukturerar HR-data från olika källsystem för länderna i Norden och Baltikum. Arbetsuppgifter Rollen innebär ett helhetsansvar för att transformera rådata till strategiska beslutsunderlag genom avancerad analys, visualisering och teknisk systemutveckling. Utveckla och optimera komplexa datamodeller med SQL och Oracle, tung analys av data Designa och implementera analytiska lösningar i Databricks Koordinera utvecklingsprojekt och kravställning via Azure DevOps Säkerställa dataintegritet och effektiv backend-struktur för HR-data Identifiera och presentera affärskritiska trender baserat på personalstatistik Samarbeta med backend-utvecklare för att skala upp analysplattformen Vi söker dig som Har mycket erfarenhet inom Databricks, PySpark & SQL Har erfarenhet av Kimball-modellering & SCD1/SCD2 Behärskar Delta Lake Har erfarenhet av Unity Catalog Arbetar i Azure DevOps Mycket erfarenhet av PowerBi Flytande kunskaper i svenska i både tal och skrift Det är meriterande om du har Genomförda studier inom dataanalys Goda kunskaper i engelska Erfarenhet från bank- eller finanssektorn Vår rekryteringsprocess Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work. Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.