Flagright helps businesses stop financial crime with an all-in-one platform for AML compliance & fraud use cases. Our developer-friendly API enables customers to set up their infrastructure in just 4 days. We are a Y Combinator company based in Berlin, Germany, serving customers from 6 continents.

Financial institutions face significant financial crime risks, including money laundering and fraud. These risks can not only result in financial losses and reputational damage for the businesses, but also harm consumers and society as a whole. Consumers may lose their savings if their accounts are used for money laundering purposes, and society may suffer from the negative impacts of terrorist financing and other illegal activities. We believe in enabling businesses with a fast, easy, and affordable security infrastructure.

We are seeking a skilled and dedicated Data Engineer to join our dynamic team. As the first dedicated Data Engineer, you will play a pivotal role in building and maintaining our data infrastructure and pipelines, enabling seamless data integration, analysis, and reporting. This is an exciting opportunity to join a rapidly growing team and make a significant impact on our data-driven product development and business strategy.

🛠 You will

• Design, develop, and optimize scalable data pipelines and workflows to support the collection, storage, processing, and analysis of large volumes of data - from scratch.
• Design, build, and operate core infrastructure (e.g., APIs, services and frameworks) and tooling used by all of Flagright’s engineering, for example to annotate and automatically de-identify sensitive data
• Implement data models and database schemas to facilitate effective data storage and retrieval.
• Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
• Identify and implement strategies for data governance, security, and privacy.
• Stay up to date with industry trends and best practices in data engineering and recommend relevant technologies and tools to enhance our data infrastructure.
• Help the Data Science team apply and generalize statistical models on large datasets

🙌 Your profile

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role, ideally within a fast-paced startup environment.
• Strong programming skills in languages such as Python, Java, or Scala.
• Proficiency in working with big data processing frameworks and distributed computing technologies.
• Solid understanding of relational and NoSQL databases, data modeling, and SQL.
• Experience with data integration and ETL tools.
• Solid experience with streaming and high performance data processing technologies and frameworks
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
• Excellent problem-solving skills and ability to work independently in a dynamic environment.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

💯 Preferred Qualifications

• Experience in MLOps and building tooling for data scientists, enabling efficient model deployment and monitoring.
• Experience with cloud-based data warehousing solutions like Amazon Redshift or similar platforms, enabling scalable and performant data storage and retrieval.
• Knowledge of data exploration and visualization tools such as Looker, facilitating intuitive and actionable insights for stakeholders.
• Confidence in utilizing platforms like Databricks for efficient big data processing and analytics.
• Strong familiarity with version control systems and best practices for collaborative software development.
• Previous exposure to machine learning concepts, frameworks, and model deployment processes.
• Experience in working within Agile development methodologies, promoting iterative and efficient project delivery.

🤗 Benefits

• Do something meaningful; help stop human trafficking, money laundering, child labor; be a part of enabling the future of how money moves.
• Work alongside a highly competent, top-tier team (Y Combinator, ex AWS, Zalando, Palantir).
• Great career development opportunities in a fast-growing early-stage startup.
• Low-bureaucracy, minimal meetings, async communications culture, international culture, flat organization.
• We do not recommend you apply if you aren't confident in delivering results. We maintain an extremely high bar for all of our team members. We do performance evaluations honestly & fairly, not kindly.

Go, NoSQL Columnar DBs (Cassandra/DynamoDB), Node.js, React, Typescript, Spark, Kafka