Data Engineer

Job Opportunity: Data Engineer – Vodafone Role Purpose Vodafone is seeking a skilledto join the team in Mwanza, Tanzania. In this role, you will architect, develop, and operationalize bigapplications and end-to-end data pipelines that transform raw data into high-quality, query-ready datasets. You will design scalable ETL/ELT workflows and robust data architectures that support new business use cases, while driving the technical implementation of data governance, security, and quality standards across the data lifecycle. Key Responsibilities Data Pipeline Development:Build batch and real-time data pipelines using automated testing, deployment, and data validation/cleansing processes to ensure accuracy, consistency, and reliability. Architecture & Storage:Define and implement optimal data storage strategies and schema designs (e.g., using Iceberg or Hive) for high-performance querying and long-term scalability. Cloud & Big Data Applications:Design and develop highly performant, scalable, and stable cloud-native Big Data applications. Data Ingestion & Integration:Source data from diverse systems (APIs, RDBMS, streaming platforms) in correct formats while meeting quality standards to enable business systems and decision-making. Governance & Standards:Implement data validation frameworks, lineage tracking, and security controls (e.g., Apache Ranger) to ensure data accuracy, privacy, and regulatory compliance. Collaboration & Continuous Improvement:Work with architecture, data science, and business teams to evolve Big Data capabilities, evaluate new technologies, and implement agile best practices. Qualifications & Requirements Education:Bachelor’s degree in Computer Engineering, Computer Science, Information Technology, or a related field. Experience:2+ years of experience in Data Engineering, Big Data Development, or Data Architecture, focusing on production-grade data pipelines.Experience within Telecommunications or a similarly data-intensive industry is preferred. 2+ years of experience in Data Engineering, Big Data Development, or Data Architecture, focusing on production-grade data pipelines. Experience within Telecommunications or a similarly data-intensive industry is preferred. Technical Skills & Competencies:Pipelines & Frameworks:Hands-on experience building ETL/ELT pipelines using Spark, Flink, and Airflow for high-volume, real-time, and batch data streams.Programming:Strong proficiency in Python, Scala, or Java.Databases & Querying:Advanced SQL proficiency with distributed engines (e.g., Trino), data warehousing concepts (Star/Snowflake), and modern table formats (Apache Iceberg).Distributed Systems:Experience with Hadoop, Hive, Trino, and streaming platforms like Kafka.Security & Governance:Knowledge of automated data validation and security tools like Apache Ranger.Soft Skills:Strong analytical, problem-solving, documentation, and cross-functional communication skills. Technical Skills & Competencies: Pipelines & Frameworks:Hands-on experience building ETL/ELT pipelines using Spark, Flink, and Airflow for high-volume, real-time, and batch data streams. Programming:Strong proficiency in Python, Scala, or Java. Databases & Querying:Advanced SQL proficiency with distributed engines (e.g., Trino), data warehousing concepts (Star/Snowflake), and modern table formats (Apache Iceberg). Distributed Systems:Experience with Hadoop, Hive, Trino, and streaming platforms like Kafka. Security & Governance:Knowledge of automated data validation and security tools like Apache Ranger. Soft Skills:Strong analytical, problem-solving, documentation, and cross-functional communication skills. How to Apply To submit your application directly to Vodafone, please visit the official job page: