Big data engineer

Who we are Alef Education began with a bold idea: that every learner deserves a personalised and meaningful education experience. What started in 2016 as a small pilot programme in Abu Dhabi has evolved into one of the world’s most dynamic Ed Tech companies—reshaping how millions of students engage with learning across the globe. Today, Alef is proudly headquartered in the UAE, working hand-in-hand with ministries of education, schools, and teachers to bring smart, data-powered platforms into classrooms in over 14,000 schools. Supporting over 1.1 million students and 50,000 teachers across the UAE, Indonesia & Morocco our AI-driven platforms generate 16+ million data points every day, helping drive smarter learning decisions. Whether it’s improving national exam results, boosting classroom engagement, or supporting educators with world-class tools, Alef is committed to impact at scale. In 2024, Alef made history as the first Ed Tech company to list on the Abu Dhabi Securities Exchange (ADX), cementing our role as a regional innovator with global reach. About The Role As an ALEF Big Data Engineer you will have a strong understanding of big data technologies with an exceptional ability to code. You will provide technical leadership, working closely with the wider team to ensure high quality code is delivered in line with the project goals and delivery cycles. You will work closely with other teams to deliver rapid prototypes as well as production code for which you will ensure high accessibility standards are upheld. We expect familiarity with modern frameworks and languages, as well as working practices such as Clean Code, TDD, BDD, continuous integration, continuous delivery, and Dev Ops. Key Responsibilities Defining and developing services and solutions Define, design, and develop services and solutions around large data ingestion, storage, and management such as with RDBMS, No SQL DBs, Log Files, Events. Define, design, and run robust data pipelines/batch jobs in a production environment. Architecting highly scalable, highly concurrent, and low latency systems Maintain, support, and enhance current systems. Contribute to paying down technical debt and use development approaches that minimize the growth of new technical debt. Contribute feedback to improve the quality, readability, and testability of the code base within your team. Mentor and train other developers in a non-line management capacity. Build tools (One of SBT, Gradle, Maven). Ensure all software built is robust and scalable. Collaborating with Internal and external stakeholders Participating in sprint planning to work with developers and project teams to ensure projects are deployable and monitorable from the outside. Work with third-party and other internal providers to support a variety of integrations. As part of the team, you may be expected to participate in some of the 2nd line in-house support and Out-of-Hours support rotas. Proactively advise on best practices. To Be The Right Fit, You'll Need Degree in Computer Science, Software Engineering or related preferred Minimum of 5 years experience in a Big Data Follow Clean Code/Solid principles Adhere and use TDD/BDD. Outstanding ability to develop efficient, readable, highly optimized/maintainable and clear code. Highly Proficient in either Functional Java or Scala, Python Knowledge of Azure Big Data/Analytics services – ADLS (Azure Data Lake Storage), HDInsight, Azure Data Factory, Azure Synapse Analytics, Azure Fabric, Azure Event Hubs, Azure Stream Analytics, Azure Databricks Experience of Storing Data in systems such as Hadoop HDFS, ADLS, Event Hubs Experience of designing, setting up and running big data tech stacks such as Hadoop, Azure Databricks, Spark and distributed datastores such as Cassandra, Document DBs, Mongo DB, Event Hubs In-depth knowledge of Hadoop technology ecosystem – HDFS, Spark, Hive, HBase, Event Hubs, Flume, Sqoop, Oozie, SPARK, Avro, Parquet Experience debugging a complex multi-server service. In depth knowledge and experience in Iaa S/Paa S solutions (eg AWS Infrastructure hosting and managed services) Familiarity with network protocols - TCP/IP, HTTP, SSL, etc. Knowledge of relational and non-relational database systems Understanding continuous integration and delivery. Mocking (any of the following Mockito, Scala Test Spock, Jasmine, Mocha). IDE Intellij or Eclipse. Build tools (One of SBT, Gradle, Maven). Ensure all software built is robust and scalable. An ability to communicate technical concepts to a non-technical audience. Working knowledge of unix-like operating systems such as Linux and/or Mac OS X. Knowledge of the git version control system. Ability to quickly research and learn new programming tools and techniques.