Role Description We are looking for an experienced Senior Data Engineer to support the build-out and further development of a modern data platform in the insurance and reinsurance environment. In this role, you will help design, build and maintain a scalable data platform based on Databricks on Azure. The platform is intended to centralize fragmented data sources, establish data quality checks, organize data into meaningful business domains and provide reliable data layers for reporting, applications, analytics and future AI use cases. The platform supports key reinsurance processes, including: - Underwriting - Pricing - Actuarial - Reserving - Finance Key responsibilities include: - Build, maintain and optimize data pipelines in Databricks - Design and implement scalable Lakehouse and Medallion Architecture concepts - Structure data into meaningful business domains - Develop and maintain Bronze, Silver and Gold data layers - Create Gold layers to support business use cases, especially applications, reports and analytics - Integrate and process data from multiple source systems, primarily SAP - Implement data quality checks, monitoring and validation mechanisms - Support data modelling, database design, storage concepts and performance optimization - Contribute to governance, security and access management concepts - Support or build CI/CD pipelines for data engineering workflows - Support reporting requirements, most likely with Power BI and/or Databricks - Prepare the data platform for future AI and advanced analytics use cases - Enable easy onboarding of business users onto the data platform - Work closely with infrastructure, architecture, business, reporting and data teams Qualifications - Several years of experience as a Senior Data Engineer or in a comparable role - Strong experience in building and maintaining data pipelines with Databricks - Solid knowledge of Lakehouse Architecture and Medallion Architecture - Good experience with cloud-based data platforms, ideally on Azure - Strong understanding of data quality, data governance, security and access management - Experience with data modelling, databases, storage technologies and performance optimization - Experience with CI/CD concepts in a data engineering environment - Good knowledge of the Databricks ecosystem and related components - Experience with SAP data sources is a strong advantage - Experience in insurance, reinsurance, finance or actuarial environments is beneficial - Knowledge of Power BI and/or Databricks reporting is an advantage - Ability to structure complex data landscapes and translate them into scalable solutions - Senior, independent and structured working style - Strong communication skills with both technical and business stakeholders Company Description PROSTAFF vermittelt und besetzt Informatik- und Data Science-Projekte in der Schweiz mit Freiberuflern, Freelancern, Contractors und temporären Mitarbeitern.

Role Description We are looking for a hands-on Head of Development to lead our engineering team remotely within Germany or from our offices in Leipzig. This is a full-time role for a technical leader who still loves to get into the code, who cares about shipping great software, and who wants room to grow. If you're a senior engineer who's ready to own a team and a platform without leaving the craft behind, keep reading. As our Head of Development, you own the "how" behind everything we build. You lead our engineers, make the architecture calls, keep the pipeline humming, and still ship code yourself when it matters. In a small team, no task is "not your job"—and you wouldn't have it any other way. - Lead the Team: Guide and grow our engineering team across Dataviz, Frontend, Backend, Integrations, and DevOps. Set the technical direction, unblock people, review code, and raise the bar on quality. - Own the Architecture: Take responsibility for our overall architecture, technology choices, and the scalability of the platform—and stay hands-on enough to know why every decision holds up. - Frontend & Backend: Steer our TypeScript/React development for web and desktop, and our Go/Postgres backend. You lead by example, not just by ticket. - Dataviz Engine: Drive the development of our browser-based data visualization engine (TypeScript) and its interaction interfaces—the heart of what makes Vizzlo, Vizzlo. - Integrations: Own the tech behind our third-party integrations: Google Slides (Google Apps Script) and Microsoft PowerPoint (VSTO and Office.js, C# and TypeScript/React), plus partner integrations like SSO/IdP providers (Okta, OneLogin, Google Workspace, Microsoft Entra ID) and our store presence (Microsoft Store, Apple App Store, Google Workspace Marketplace). - DevOps & Ops: Run our CI/CD pipeline and deployment process, keep production healthy on Vercel and AWS (ECS, RDS, …), manage our Docker-based preview environments, and keep the critical systems ticking (GitHub, CircleCI, ZenDesk, Google Workspace, plus payment and accounting integrations like Chargebee, Stripe, PayPal, and DATEV). - Keep Us Safe & Sound: Help ensure our data protection and security standards are met, keep the relevant docs and policies current, and manage technical risk sensibly. - Get Shit Done: Do whatever it takes to move the product forward—coordinate a release, hunt down a nasty bug, pair with an engineer, or jump on a customer's integration issue. And yes, occasionally make coffee for the team. Qualifications - Excellent written and spoken English skills (a must); good German skills are a plus. - 3+ years of hands-on software engineering experience, plus at least some experience leading or mentoring a team—formally or informally. You want the leadership scope to grow. - Deep, practical knowledge of the technologies we use—at minimum TypeScript/React and Go. You can still read, write, and review the code, not just talk about it. - Solid experience with cloud infrastructure, preferably AWS, and with modern DevOps and CI/CD practices. - Experience building third-party integrations and designing clean APIs. - Track record of shipping in a SaaS environment with continuous deployment. - A genuine interest in data visualization—and ideally some opinions about how it should be built. - Strong communication skills and commercial sense: you get that engineering decisions serve business priorities, not the other way around. - A bias for action: you'd rather ship something solid and iterate than architect in a vacuum for months. Requirements - Bonus: you've worked with Postgres at scale, built Office/Google add-ins, wrangled Vercel/ECS/RDS in production, or have strong feelings about bar charts vs. pie charts. Benefits - Full-time leadership position with a competitive remuneration package. - Equity participation (VSOP)—you share in what we build. - Start-up environment where your talents and motivation make a real, visible impact. - International team of highly motivated doers. - Fully remote position (within Germany), with ultra-nice offices in Leipzig (Plagwitz) for optional in-person collaboration. - Need something else? Ask!

Role Description We are seeking an experienced Senior Data Engineer to join our Data & BI team within the manufacturing and distribution sector. This role will focus on implementing and maintaining an Azure cloud-based data platform and building scalable medallion architecture solutions to support enterprise data initiatives. This is a delivery-focused, hands-on role with primary responsibilities in implementation, platform maintenance, operational excellence, and supporting modernization initiatives. This will be a remote position, and it can be based anywhere in the Continental US. Key Responsibilities - Implementation & Delivery - Implement cloud-based, scalable data platforms to support manufacturing operations, inventory management, and distribution analytics. - Build and maintain Lakehouse and develop ELT/ETL workflows using Databricks, Lakeflow, Azure Data Factory, FiveTran, and Azure Data Lake Storage. - Integrate data from ERP and different source systems, including JD Edwards (JDE), Hubspot, Oracle, SQL Server, etc. - Configure and maintain Unity Catalog — applying access policies, lineage settings, and metadata as directed by the architectural governance framework. - Implement RBAC/ABAC across the data platform, including row-level and column-level security in UC and ADLS. - Monitor pipeline health, troubleshoot failures, and perform root-cause analysis on data quality or performance issues. - Participate in daily support and respond to production incidents promptly. - Knowledge Sharing & Documentation - Actively share knowledge and produce clear technical documentation for all implemented solutions — including pipeline designs, data flow diagrams, runbooks, and configuration notes. - Maintain up-to-date documentation in the team's knowledge base. - Contribute to team standards and best practices. Qualifications - 5+ years of hands-on data engineering experience. - Strong Python skills. - Proficient with Databricks — Delta Lake, PySpark/Spark SQL, notebooks, jobs, and cluster management. - Proficient with Azure, Azure Data Lake Storage Gen2 and the broader Azure data ecosystem, Azure Data Factory, Azure Logic Apps, and Azure Key Vault. - Practical experience with connector management, API and Databricks Lakeflow (Workflows / DLT pipelines). - Hands-on experience with medallion architecture, dimensional modeling, and incremental load. - 5+ years working with Oracle (PL/SQL, stored procedures) and SQL Server (T-SQL, CDC, query optimization); experience extracting from JD Edwards (JDE) table structures and business data models. - Hands-on experience implementing RBAC/ABAC, row-level security, and column-level security across Databricks, Unity Catalogue, and relational databases. - Experienced with Git, Azure DevOps or GitHub Actions, ansible and CI/CD pipelines. - Excellent communication skills, with the ability to translate complex data into actionable business insights. - Familiar with Agile methodology, participate in Sprint planning. Preferred Qualifications - Exposure to streaming data patterns (Event Hubs, Kafka, or Structured Streaming). - Knowledge and hands-on experience with Power BI. - Familiarity with Azure Functions, Azure ML, Logic Apps, Azure Synapse, Microsoft Fabric, and Oracle Cloud. - Knowledge of FiveTran, dbt, Machine Learning, and AI development and deployment. Compensation RectorSeal has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the CSWI Board of Directors. Benefits - Comprehensive medical, dental, and vision plans. - 401(k) and pension. - Life insurance. - Paid time off program with paid holidays. - Various wellness programs.

• Manage, mentor, and grow a 10-person data engineering team and a 3-person AI/ML team; own headcount planning and hiring across both • Set a unified roadmap where data infrastructure and AI/ML development reinforce each other • Build a culture of technical rigor, ownership, and delivery • Lead development of ML models using proprietary insurance data: risk scoring, pricing signals, anomaly detection, loss prediction • Own LLM integration strategy from prompt engineering and RAG pipelines to fine-tuning and agentic workflows • Drive AI automation across operations: underwriting intake, document processing, triage, internal tooling • Partner with the CTO on enterprise AI platform decisions: tooling, deployment infrastructure, model governance • Build the evaluation, monitoring, and feedback loops that turn experiments into production systems • Set architectural standards for pipelines, data modeling, and platform infrastructure • Own reliability, observability, and data quality across Snowflake, dbt, Airflow, and Terraform • Build semantic layers and data models that serve underwriting, pricing, finance, and executive reporting • Establish data governance, quality frameworks, and documentation standards that scale • Collaborate with actuaries, underwriters, engineers, and product leaders to translate business needs into AI and data solutions • Operate as a senior technical voice in planning, roadmap, and strategy discussions