Data Engineer

Location: Afghanistan, Albania, Algeria, Andorra, Angola, Antarctica, Armenia, Austria, Azerbaijan, Bahrain, Belarus, Belgium, Benin, Bosnia and Herzegovina, Botswana, Bouvet Island, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, The Democratic Republic of the, Cook Islands, Croatia, Curaçao, Cyprus, Czechia, Côte d'Ivoire, Denmark, Djibouti, Egypt, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Faroe Islands, Finland, France, French Guiana, French Southern Territories, Gabon, Gambia, Georgia, Germany, Ghana, Gibraltar, Greece, Greenland, Guadeloupe, Guernsey, Guinea, Guinea-Bissau, Heard Island and McDonald Islands, Holy See (Vatican City State), Hungary, Iceland, Iran, Iraq, Ireland, Isle of Man, Israel, Italy, Jersey, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Mali, Malta, Martinique, Mauritania, Mauritius, Mayotte, Moldova, Monaco, Montenegro, Morocco, Mozambique, Namibia, Netherlands, Niger, Nigeria, North Macedonia, Norway, Oman, Palestine, State of, Poland, Portugal, Qatar, Romania, Rwanda, Réunion, Saint Barthélemy, Saint Helena, Ascension and Tristan da Cunha, Saint Martin (French part), Saint Pierre and Miquelon, San Marino, Sao Tome and Principe, Saudi Arabia, Senegal, Serbia, Seychelles, Sierra Leone, Sint Maarten (Dutch part), Slovakia, Slovenia, Somalia, South Africa, South Sudan, Spain, Sudan, Svalbard and Jan Mayen, Sweden, Switzerland, Syrian Arab Republic, Tajikistan, Tanzania, Togo, Tunisia, Turkey, Turkmenistan, Uganda, Ukraine, United Arab Emirates, United Kingdom, Uzbekistan, Western Sahara, Yemen, Zambia, Zimbabwe, Åland Islands
Region: United Kingdom, Europe, Asia-Pacific, Middle East & Africa, Germany, Spain, Poland, Ireland, France, Netherlands, Portugal, Bulgaria, Sweden, Hungary, Denmark, Italy, Greece, Czechia, Romania, Austria, Switzerland, United Arab Emirates, Belgium, Estonia, Norway, Finland, Serbia, Slovakia, Israel, Croatia, Latvia, Lithuania, South Africa, Slovenia, Ukraine, Saudi Arabia, Cyprus, Turkey, Luxembourg, Malta, Nigeria, Kenya, Egypt
Type: Full-time
Salary: Not listed
Posted: 1 Nov 2026

Listed on Himalayas. You apply on the original posting; we never see your application.

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 will

Be responsible for creating robust, mission critical batch and streaming data processing capabilities
Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
Provide feedback on team members' output, encouraging skills development within the team
Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
Mentor juniors with technical leadership
Be supported by senior leaders as you drive your own development

You will need

BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
Real-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 Kafka
Experience with cloud technologies, AWS preferred
Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure components
Understanding of CI/CD practices
Productive within a Linux command line environment
Proven 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 pressure

Bonus if you have

Experience 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.

Remote First

We 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 Inclusion

At 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.