Data Engineer

About this job At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone. Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines. As a JUMO Data Engineer, you will design, build and maintain scalable data architectures. You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential. On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift. We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications. You willBe responsible for creating robust, mission critical batch and streaming data processing capabilitiesDesign, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisationProvide feedback on team members' output, encouraging skills development within the teamWork closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solveMentor juniors with technical leadershipBe supported by senior leaders as you drive your own developmentYou will needBSc. in Computer Science, Electrical Engineering or equivalent tertiary degreeReal-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)Experience in streaming technologies, specifically Spark and KafkaExperience with cloud technologies, AWS preferredSolid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDBCommand of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product LifecycleExperience in application design and development with at least one of the following languages: Python (preferred), KotlinRDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure componentsUnderstanding of CI/CD practicesProductive within a Linux command line environmentProven ability to contribute software as part of a team. We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressureBonus if you haveExperience working with messaging systems (RabbitMQ, Redis, SNS)Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )Experience working with production BI environments and tools (Tableau, Superset, Looker) We ask a lot of each other at JUMO, but we give a lot too. You will loveCollaborating with smart, engaging people in an inspiring work environmentWorking for impactGrowing and learning continuously, with loads of encouragement and supportBoldly taking risks as we navigate new challengesFlexible work practices enabling your best deliveryBeing autonomous and empowered to leadA stack of leading-edge technologiesRemote FirstWe operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO. Diversity and InclusionAt JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.