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 Junior 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
• 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.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

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.

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.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

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.

About this job

As Junior Analytics Engineer, you will support the Analytics Engineering team in one or more of the many functional data domains within JUMO. Working closely with the various stakeholders and Data engineers to enable you to service data requests both internally and to external partners. You will report to the Data Modelling & Reporting Team Lead.

You will 

• Work closely with all stakeholders which will include technology platform Product Owners, Data & Prediction teams, Finance, Marketing and external partners to perform investigations on data warehouse and other operational data stores to understand and assist with the real-world problems we're trying to solve.
• Need to understand the end-to-end architecture of your functional domain and be able to deep dive into the data to resolve issues or perform ad-hoc extracts.
• Perform quality assurance on new and existing data sets and pipelines to discover inconsistencies, anomalies to guide problem resolution and data cleansing exercises.
• Use advanced data query and discovery skills for ad hoc analysis and support for both internal and external stakeholders.
• Need to be able to clearly define reporting requirements as well as the ability to build operational reports and strategic dashboards.

You will need

•  2-3 years experience with data and/or systems analysis experience, at least some within a formal BI environment.
• University degree in either Business, Finance, Mathematics, Statistics, Informatics or equivalent industry training and experience.
• Proven ability in analytics, business process analysis and presenting / communicating recommendations across all organization levels.
• Real-world understanding of data processing and storage.
• Relational database management systems experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.
• Proven ability to write complex data queries (any desired language) to retrieve data for analysis, modelling and solving complex business scenarios.
• Ability to self-discover and understand complex data domains. 
• Advanced Excel skills.
• Understanding of Data Governance, Agile methodologies and QA standards.
• Critical thinking under pressure with ambiguity and tight deadlines
• Experience working with Github and JIRA or similar task or project management tools.

Bonus if you have 

• Experience in data environments making use of big data, data lakes, event-based streaming and API integrations.
• Experience with reporting and business intelligence software such as Tableau, Power BI, Grafana, Superset.
• Experience with tools such as Airflow and NiFi.

• Experience with end-to-end BI solution design and build.
• Experience in the FinTech industry.

`We ask a lot of each other at JUMO, but we give a lot too. 

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working as one team towards our goal of financial inclusion
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• Using AI for good, ensuring more value for more customers

• A stack of leading-edge technologies 

Remote First

This position is based in South Africa.  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. We have co-working spaces available in Cape Town for collaboration and connection and for the use of those who value and want to work out of an office. You have flexibility where to work from, 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.

At 2U, we are all in on purpose. We are motivated by our mission – to eliminate the back row in education – and connected by our shared passion to deliver world-class digital education at scale. As the parent company of edX, the world’s leading online learning platform, 2U powers more than 4,000 online higher education offerings – from free courses to full degrees. Together with more than 230 colleges, universities, and corporate partners, we are helping to unlock human potential.

What We’re Looking For:

We are seeking a highly skilled and experienced Data Engineer III to serve as a key individual contributor responsible for architecting, implementing, and maintaining robust Data Technology Systems across the entire Modern Data Stack (Data Integration, Storage, Transformation, and Governance). This role demands deep technical proficiency and architectural foresight, requiring the candidate to be hands-on, capable of diving deep into any part of the stack, and executing complex technical work efficiently. 

As a senior member of the team, you will spearhead technical and infrastructure innovation, mature our code base and development processes, and provide essential technical guidance and mentorship to Junior and Intermediate Data Engineers. You will collaborate closely with cross-functional teams, including Analytics Engineers and Product Managers, to ensure the delivery of optimized data pipelines and reliable, high-impact data products.

Responsibilities Include, But Are Not Limited To:

• Technical
• Design and build robust, scalable, and high-performance ETL/ELT data pipelines
• Develop and implement solutions using advanced programming languages (e.g., Python, SQL, DBT)
• Optimize and performance-tune complex data workflows and queries to handle massive data volumes and ensure minimal latency
• Assist with the design and implementation of data models for Data Warehouses (Snowflake etc.)
• Implement data quality frameworks (validation, monitoring, and testing) to ensure data accuracy, consistency, and completeness
• Establish comprehensive error logging and alerting systems for pipeline health and failure remediation
• Apply DevOps practices to data infrastructure, often involving Infrastructure as Code (e.g., Terraform)
• Management 
• Effectively leverage knowledge, expertise and experience to lead and deliver projects
• Effectively support and mentor data engineers
• Business
• Stakeholder management throughout all business departments
• Collaborate with other engineers and analysts to execute projects
• Personal 
• Perform research and constantly stays on top of the industry’s trends
• Engage and proactively seek opportunities for improvement through ongoing learning

Things That Should Be In Your Background:

• 5+ years experience in the Data industry
  • 4+ years experience in a Data Engineering role
• Expert in SQL to then implement where needed in Data Warehousing systems and Data Pipelines
• PostgreSQL / MySQL / Python / R / Redshift / Snowflake experience
• Experience in database design and database management
• A sound understanding of data management principles, including data quality assurance and data governance
• Experience in source code and version control systems
• Experience with infrastructure automation (Terraform) 
• Familiarity working with containerized services (Docker and Kubernetes)
• Experience in the shipment of data using various methods, such as ETL/ELT, within tools such as Airflow (MWAA), Argo, dbt
• Experience using services within the AWS ecosystem (e.g, RDS, EC2, Redshift, EKS)
• Understanding or knowledge of Linux commands (bash scripting)
• Manages multiple projects, resolves challenges swiftly, delivers adaptable approaches, and values diverse opinions.
• Takes ownership, anticipates new problems, tests solutions, and mentors on effective problem-solving techniques.
• Sets quarterly goals aligned with team objectives, tracks progress in Workday, and communicates barriers to the manager. Takes personal responsibility for quality and timeliness of work, correcting mistakes and learning from them. 
• Demonstrates expert understanding, introduces new tools/methodologies, and provides team training to enhance productivity.
• Tailors messages for audience understanding, engages respectfully in team meetings, synthesizes thoughts effectively, presents confidently, and actively listens to stakeholders.
• Consistently builds and maintains key stakeholder relationships, perceived as a trusted partner, offers sound guidance, and navigates challenging relationships effectively.

Other Attributes That Will Help You In This Role:

• A degree in Computer Science/Information Systems/Engineering preferred

Benefits & Culture

Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide over 40 million learners and counting with access to world-class online higher education, then join us – and do work that makes a difference. #NoBackRow

We offer comprehensive benefits (unique per country) and excellent work/life balance.
Full-time, ZA benefits include: 

• 2 complimentary Getsmarter short courses per year
• Subsidised medical aid with Discovery Health Medical Scheme
• 4% 2U contribution towards Discovery Life Pension Fund and Group Risk Benefit
• Employee Assistance Program (EAP)
• Generous leave policy including time off to volunteer for non-profit organization, study leave, sports leave and a company-wide festive season break

2U Diversity and Inclusion Statement

At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 

2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: recruitingaccommodations@2u.com. 

About 2U

For more than a decade, 2U has been the digital transformation partner of choice to great non-profit colleges and universities delivering high-quality online education at scale. As the parent company of edX, a leading global online learning platform, 2U provides over 45 million learners with access to world-class education in partnership with more than 230 colleges, universities, and corporations. Our people and technology are powering more than 4,000 digital education offerings — from free courses to full degrees — and helping unlock human potential. To learn more: visit 2U.com.

About edX

edX is the education movement for restless learners and a leading global online learning platform from 2U. Together with the majority of the world’s top-ranked universities and industry-leading companies, we bring our community of over 45 million learners world-class education to support them at every stage of their lives and careers, from free courses to full degrees. And we're not stopping there — we're relentlessly pursuing our vision of a world where every learner can access education to unlock their potential, without the barriers of cost or location. Learn more at edX.org.

Learn more at https://2u.com/careers/
#NoBackRow

The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.

2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay. 

2U is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. 2U requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae.

About this job

As Analytics Engineer, you will support the Senior Analytics Engineers in one or more of the many functional data domains within JUMO. Working closely with the various stakeholders and Data engineers to enable you to service data requests both internally and to external partners. You will report to the Data Modelling & Reporting Team Lead.

You will 

• Work closely with all stakeholders which will include technology platform Product Owners, Data & Prediction teams, Finance, Marketing and external partners to perform investigations on data warehouse and other operational data stores to understand and assist with the real-world problems we're trying to solve.
• Need to understand the end-to-end architecture of your functional domain and be able to deep dive into the data to resolve issues or perform ad-hoc extracts.
• Perform quality assurance on new and existing data sets and pipelines to discover inconsistencies, anomalies to guide problem resolution and data cleansing exercises.
• Use advanced data query and discovery skills for ad hoc analysis and support for both internal and external stakeholders.
• Need to be able to clearly define reporting requirements as well as the ability to build operational reports and strategic dashboards.

You will need

•  3-5 years experience with data and/or systems analysis experience, at least some within a formal BI environment.
• University degree in either Business, Finance, Mathematics, Statistics, Informatics or equivalent industry training and experience.
• Proven ability in analytics, business process analysis and presenting / communicating recommendations across all organization levels.
• Real-world understanding of data processing and storage.
• Relational database management systems experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server.
• Proven ability to write complex data queries (any desired language) to retrieve data for analysis, modelling and solving complex business scenarios.
• Ability to self-discover and understand complex data domains. 
• Advanced Excel skills.
• Understanding of Data Governance, Agile methodologies and QA standards.
• Critical thinking under pressure with ambiguity and tight deadlines
• Experience working with Github and JIRA or similar task or project management tools.

Bonus if you have 

• Experience in data environments making use of big data, data lakes, event-based streaming and API integrations.
• Experience with reporting and business intelligence software such as Tableau, Power BI, Grafana, Superset.
• Experience with tools such as Airflow and NiFi.

• Experience with end-to-end BI solution design and build.
• Experience in the FinTech industry.

`We ask a lot of each other at JUMO, but we give a lot too. 

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working as one team towards our goal of financial inclusion
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Flexible work practices enabling your best delivery
• Being autonomous and empowered to lead
• Using AI for good, ensuring more value for more customers

• A stack of leading-edge technologies 

Remote First

This position is based in South Africa.  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. We have co-working spaces available in Cape Town for collaboration and connection and for the use of those who value and want to work out of an office. You have flexibility where to work from, 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.