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# Junior Data Engineer

- **Company:** RYZONSSERVICES
- **Location:** Sevenoaks, United Kingdom
- **Experience:** Starter
- **Salary:** £29,120 - £114,546
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Bash Shell, Big Data, Cloud Computing, Computer Programming, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Relational Databases, Database Design, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Microsoft SQL Server, Oracle (Applications), Shell Script, SQL Databases, Scripting, Informatica Powercenter, Apache Spark, Database Performance, Indexer, Vba Programming Language, Dynamic Data, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=20c32c69cb5e3be6

## About the Role

* Proven experience working with relational databases such as Oracle or Microsoft SQL Server.
 * Familiarity with Big Data technologies including Hadoop ecosystem components like HDFS, Hive, Spark, and related tools such as Apache Hive or Informatica.
 * Hands-on experience with cloud platforms like AWS is highly desirable.
 * Strong programming skills in Java or Python for data processing tasks.
 * Knowledge of database design principles including normalization, indexing, and schema development.
 * Experience with Shell scripting (Bash) or VBA for automation purposes is a plus.
 * Understanding of Data Warehouse concepts and architecture to support large-scale analytics projects.
 * Excellent analysis skills with the ability to interpret complex datasets accurately and efficiently.

Join us as a Junior Data Engineer if you're eager to develop your expertise in cutting-edge data technologies while contributing to impactful projects! We value energetic problem-solvers who thrive on learning new skills and making a difference through innovative data solutions.

## Description

* Assist in designing and implementing robust data pipelines using tools such as Apache Spark, Hadoop, and Informatica to process large volumes of Big Data efficiently.
 * Develop and maintain data warehouses utilizing SQL-based technologies like Oracle, Microsoft SQL Server, and Apache Hive to support reporting and analysis needs.
 * Collaborate with cross-functional teams to gather requirements and translate them into scalable database designs and ETL (Extract, Transform, Load) processes.
 * Write optimized SQL queries for data extraction, transformation, and analysis to support business intelligence activities.
 * Support the deployment of cloud-based solutions on AWS for scalable storage and computing resources.
 * Automate routine tasks using Bash shell scripting, VBA macros, or Python scripts to improve workflow efficiency.
 * Conduct analysis of data flows and troubleshoot issues related to database performance or pipeline failures.
 * Document technical specifications, workflows, and best practices for ongoing maintenance and knowledge sharing.