Senior Data Engineer

Introduction This is a fully remote role in the UK, Ireland, or Poland. SymphonyAI Sensa is breaking new ground in enterprise AI and we are seeking a highly motivated Senior Data Engineer to join our team. We have the most advanced machine learning solution to solve hard problems in Anti Money Laundering, Financial Fraud, and Trade Surveillance. At traditional Banks, Exchanges, and for DeFi. We combine the rapid agility of a start-up with the financial backing of the world’s largest private AI fund (SymphonyAI). The successful candidate will be responsible for designing and implementing improvements to our big data processing system, ensuring data quality and availability, and working closely with the data science and machine learning engineering team to enable effective and highly performant data storage and processing in our platform. The ideal candidate will have a strong background in big data engineering, data warehousing, data architecture design, and cloud computing. Job Description Responsibilities: Design, implement, and maintain a data lake architecture to support a wide range of platform needs. Ensure data quality, integrity, and accuracy across all data sources. Develop and maintain ETL processes to efficiently extract, transform, and load data from various sources into the data lake and databases. Implement and maintain data security and privacy protocols to protect sensitive data. Collaborate with other engineering teams to ensure that the data lake and data pipelines are properly integrated with other systems. Identify and recommend improvements to data engineering processes, tools, and technologies to continuously improve data quality, availability, and performance. Mentor and provide technical guidance to junior data engineers. Requirements: Bachelor’s degree in computer science, Information Systems, or a related field. 5+ years of experience in big data engineering, data warehousing, or a related field. 2+ years’ experience with Python-based big data processing tools like Dask/Rapids/Ray Experience with streaming frameworks like Flink or Spark is a plus. Proficient in programming languages such as Python, Java, or Scala. Experience with blob storage technologies like S3, or MinIo. Experience with databases such as MySQL, PostgreSQL, Oracle, or SQL Server. Experience with other types of databases (e.g. NoSQL, GraphDBs, etc) is a plus. Knowledge of big data technologies such as Hadoop, Spark, or Hive. Experience building high-performance data pipelines. Experience developing data APIs and pipelines using Python. Experience with Kubernetes is a plus. If you are a motivated individual with a passion for data engineering and fintech, we encourage you to apply for this exciting opportunity to work with a dynamic team of experts in the field. About Us Who We Are SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 2,500 talented leaders, data scientists, and other professionals across over 20 countries.