Data Modelling Consultant (Insurance)

The team MongoDB's Application Modernization Platform (AMP) organization is the front door of our modernization business. In our Data Migration practice we move production data - safely, repeatably, at enterprise scale - from relational estates (Oracle, SQL Server, PostgreSQL, MySQL) and from NoSQL platforms (Apache Cassandra, Azure Cosmos DB, Amazon DocumentDB) onto MongoDB. We do this both as standalone migration programmes and as the data workstream inside larger application-modernization engagements, using MongoDB's own tooling - Relational Migrator, Cluster-to-Cluster Sync, Atlas Stream Processing - alongside the open-source and cloud-native pipeline ecosystem. Our mission is to help our customers be successful by leading end-to-end their journey to MongoDB. In an era where AI agents handle routine migration mechanics - such as workload assessments, schema and query translations, and large-scale validation - our consultants focus on the high-judgment decisions that directly mitigate risk. Joining us now means helping draft the playbooks while they are actively being defined. We are seeking builders who prefer creating new frameworks over following legacy instructions. This role will be based remotely in Germany. Position expectations Delivery Plan and lead the technical delivery of data migration engagements end to end: source estate assessment, migration strategy and wave planning, schema and data-model transformation, pipeline build, validation, and production cutover with minimal downtime Design and operate change data capture (CDC) pipelines for zero and near-zero-downtime migrations - using Kafka and the connector ecosystem, Debezium and comparable log-based CDC tooling, and cloud-native replication services Bring genuine platform depth on the estates our customers are leaving: Cassandra data modeling and anti-patterns, Cosmos DB (Core and Mongo API) partitioning and RU economics, DocumentDB's compatibility surface - and use it to de-risk what the cu

Location : Hamburg or Berlin! At Freenow by Lyft, we are on a mission to empower smarter mobility decisions, helping people to move freely and cities to thrive. We are looking for a Senior Commercial Finance Manager to drive financial planning, business casing, and performance tracking across our dynamic growth segments and key strategic initiatives. In this role, you will act as a core financial business partner to the segment leaders and business owners accountable for driving these growth levers, providing the analytical rigor needed to guide investment decisions and strategy. Your scope extends beyond our core marketplace model to encompass B2B SaaS solutions and other business models. Beyond commercial FP&A, you will play an active role in M&A activities by supporting buy-side due diligence and post-acquisition financial integration. YOUR DAILY ADVENTURES WILL INCLUDE: Lead structured financial modeling and business casing for growth segments and strategic projects in close collaboration with business owners. Act as a key finance partner to segment leaders and business owners, providing objective analysis to inform senior leadership discussions on resource allocation and major investment decisions. Establish continuous ROI tracking frameworks and conduct routine performance reviews to ensure capital efficiency across all growth levers. Work alongside the Data team to define and implement consistent KPI tracking, reporting frameworks, and performance dashboards. Collaborate with the broader Commercial Finance team to build and maintain sustainable "shadow P&L" reporting for growth segments (prospectively utilizing Anaplan). Support buy-side M&A projects by assessing target financials and evaluating business models within the context of our own operational data to complement external due diligence advisory work. Structure and drive the post-acquisition financial integration of newly acquired businesses from an FP&A perspective, ensuring

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As Engineering Manager for our verticals application team, you'll lead a team of engineers building full-stack applications, backend and frontend, that bring AI into critical sectors, starting with the Pharmaceutical industry and expanding into areas like finance and healthcare over time. You'll own the application and user-experience layer, partnering closely with the ML engineering teams who build the underlying data and agent infrastructure. Day to day, that means working with product managers, designers, and ML engineers to ship best-in-class applications, while hiring, mentoring, and growing your team. We're looking for someone who has built AI-first products deeply integrated with agentic systems, and who can deliver secure systems that users can trust in high-stakes environments. Our pace is startup-fast, but the bar is enterprise-high: these applications must be reliable, observable, safe, and auditable from day one. Key Responsibilities: Lead and manage backend and frontend engineers, fostering collaboration and ensuring predictable delivery Act as the primary interface between Product and Engineering tea

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. About the role In the Trade Management team, you'll join an international and diverse group of passionate experts. We're transforming the way we approach global logistics – moving from intuition-based decisions to a precision-engineered, data-driven strategy. We're seeking an Expert Trade Analyst: a technical heavyweight who loves to code, model, and moves fast. You'll be a hands-on builder of the analytical backbone behind our trade management decisions – spending the large majority of your time in the code, building complex data models, writing high-performance queries, and designing algorithms. You'll be the bridge between raw data and high-level strategy, directly influencing how we handle Procurement, Pricing, and Forecasting. This role rewards speed and creativity as much as technical depth – you should be comfortable using modern AI tooling to work faster and think through problems from first principles rather than by playbook. Key Responsibilities Advanced Analytics & Modeling Own the data pipelines and models that drive our GP reporting, demand forecasting, and yield management engines. Personally write and optimize complex code (SQL, Python/R) to solve our hardest analytical problems – you are the technical escalation point on trade data. Build robust predictive models to anticipate market demand and capacity constraints, enabling Procurement to buy smarter and Pricing to sell more effectively. Use AI tools (e.g., coding assistants, LLMs) to accelerate development, prototyping, and analysis – we want speed of thinkin

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. About the role In the Trade Management team, you will join an international and diverse group of passionate experts. We are transforming the way we approach global logistics by moving from intuition-based decisions to a precision-engineered, data-driven strategy. If you are a technical heavyweight who loves to code and model, but also a leader ready to mentor a high-performing team, this is the role for you. We are seeking a Team Lead for Trade Analytics & Market Intelligence to act as the Ted Lasso of our data analytics team. Reporting directly to the Director of Trade Management, you will own the architectural backbone of our trade management decision-making. This is a hybrid role. You will spend a significant portion of your time hands-on in the code—building complex data models, writing high-performance queries, and designing algorithms. Simultaneously, you will lead and develop a small, agile team consisting of a seasoned Analyst and a Market Intelligence Specialist. You will be the bridge between raw data and high-level strategy, directly influencing how we handle Procurement, Pricing, and Forecasting. Key Responsibilities Lead Technical Strategy & Analytics Own the Data Architecture: Architect and maintain the data pipelines and models that drive our GP reporting, demand forecasting, and yield management engines. Hands-On Development: personally write and optimize complex code (SQL, Python/R) to solve our hardest analytical problems. You are the technical escalation point for the team. Forecasting & Modeling: Bu

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. About the role In the Trade Management team, you'll join an international and diverse group of passionate experts. We're transforming the way we approach global logistics – moving from intuition-based decisions to a precision-engineered, data-driven strategy. We're seeking an Expert Trade Analyst: a technical heavyweight who loves to code, model, and moves fast. You'll be a hands-on builder of the analytical backbone behind our trade management decisions – spending the large majority of your time in the code, building complex data models, writing high-performance queries, and designing algorithms. You'll be the bridge between raw data and high-level strategy, directly influencing how we handle Procurement, Pricing, and Forecasting. This role rewards speed and creativity as much as technical depth – you should be comfortable using modern AI tooling to work faster and think through problems from first principles rather than by playbook. Key Responsibilities Advanced Analytics & Modeling Own the data pipelines and models that drive our GP reporting, demand forecasting, and yield management engines. Personally write and optimize complex code (SQL, Python/R) to solve our hardest analytical problems – you are the technical escalation point on trade data. Build robust predictive models to anticipate market demand and capacity constraints, enabling Procurement to buy smarter and Pricing to sell more effectively. Use AI tools (e.g., coding assistants, LLMs) to accelerate development, prototyping, and analysis – we want speed of thinkin