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To ensure smooth data flow and superior quality, we are seeking a Senior Data Engineer to develop and optimise our scalable data pipelines on Google Cloud Platform. Building APIs for external interfaces, creating reliable ETL/ELT procedures, and improving our platform to support our ML and analytics teams are all part of this role. We would want to speak with you if you are a driven problem-solver with solid knowledge of Python, SQL, and data modelling who is prepared to make an impact in a fast-paced setting.

Are you interested in joining our vibrant, global team? Are you looking for a demanding job that gives you autonomy and accountability? With data at the heart of your job, your task as a (Senior) Analyst Finance will be to manage the daily operations in our Finance department. With our financial steering at the centre of your work, you will assist and lead the reporting and external stakeholder management in this capacity. You help us develop into a successful, medium-sized, global business.

In order to contribute to the development of Safe{Wallet}, a prominent smart wallet in the Ethereum ecosystem, we are seeking a Senior Full Stack Engineer to join our Core Experience team. Taking full responsibility for features from inception to production, you will contribute throughout the stack and concentrate on backend development.

Our goal is to become the industry leader in virtual friends that live, develop, and change like real people—beginning with us—by using AI to generate digital life. In the US and Europe, we are the largest AI character app with a unique intellectual property.

As a data engineer, you will create and manage streaming applications that supply vital real-time data for production applications and the organization's overall analytics. Key relationships: You will work with the cutting-edge technologies that other companies are still planning to implement. You will dive deep into event-driven systems that bring data to all services. We are also responsible for a number of vital services. You will have a huge variety of tasks: from receiving real-time stock/crypto prices to implementing business monitoring / anti-fraud solutions. You will work with system analysts and devops in the same team to solve both platform and business tasks. We understand that some parts of the tech stack may be new, but we expect you to learn quickly and grow fast. Responsibilities: Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications. Collaborate with other engineers, analysts, and stakeholders, taking learning opportunities that will arise every single day. Create proofs of concepts with new technologies and drive innovation. Optimize and improve existing features and data processes. Requirements You have strong experience with Java. You write efficient, well-tested code with a keen eye on scalability andmaintainability. You are knowledgeable about data modeling, data access, and data storagetechniques. You appreciate agile software processes, reliability, and responsible experimentation. Will be a plus: Experience with event streaming platforms and services such as Kafka Streams, Flink or Spark Streaming. Experience with Kubernetes. Experience with data modeling and data warehousing solutions (Snowflake). You know how to work with high-volume heterogeneous data. Benefits We have a Hybrid model in one of our offices (Berlin, Limassol, Almaty) or fully remote outside office locations. We support relocation (visa, package) to Cyprus and KZ. This is a senior-level position with a competitive salary and benefits package (depending on location).

You will be at the forefront of using data-driven insights to transform the company's offering as a Product Data Analyst. In a dynamic, fast-paced setting, your analytical skills will enable our product organization to propel the company's expansion. In order to identify patterns, forecast results, offer practical suggestions, and confirm the influence of decisions, you will make use of sophisticated analytics tools and methodologies. A proactive problem solver who enjoys working in a data-rich workplace and is enthusiastic about leveraging data to support strategic decisions that enhance our company experience would be ideal for this post.

We are seeking a bright and driven Product Engineer to become a member of our team. Working directly with the CEO and Product Designer, you will provide a platform that lets Entropy and other developers use the decentralised toolset of the Entropy Network, like threshold signatures and TEEs, to deploy AI agents.

After confirming product-market fit, we are focussing on a single sector that has enormous potential. Your goal as VP Engineering is to oversee the whole product execution process, from writing code to assembling a top-performing tech team, and to establish the technological framework for growing a platform that defines a category in the home services industry.

To design and implement test software applications for boards, equipment, and subsystems at different testing levels, we are seeking a Test Software Application Developer. The ideal applicant will be proficient in creating LabVIEW-based solutions and be able to determine the hardware and software needs for integrated test platforms and specific testing applications.

We enable people all over the world to make decisions based on the truth by offering dependable and user-friendly data along with a range of data analytics tools and services.

To support the development of the platform and pipelines that will offer a scalable, effective, and compliant data environment to support machine learning, analytics, and reporting, we are seeking an experienced data engineer. You'll work on a variety of projects across the pillars of platform services that support our ML and AI-driven product development, enable high-quality data, facilitate efficient data pipelines and monitoring, and guarantee that our data is kept safe, compliant, and economically viable.

You'll be assist us to create our web-based apps' user interfaces. This typically entails integrating data from our CMS via APIs and working with mapping engines.