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# Big Data Developer

- **Company:** Information Tech Consultants
- **Location:** UK
- **Experience:** Experienced
- **Salary:** £35,000.0 - £45,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Databases, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Distributed Computing Environment, Apache Hadoop, Apache Hive, Python (Programming Language), NoSQL, NumPy, SQL Databases, Data Processing, Google Cloud, Data Storage Technologies, Apache Spark, Pandas, Information Technology, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=11a875e0e609a89c

## About the Role

* 2-5 years of professional experience in Big Data Development, Python Development, or Data Engineering.
 * Strong hands-on experience with Python and SQL.
 * Experience working with databases and large datasets.
 * Understanding of data processing, ETL, and data transformation.
 * Familiarity with Pandas, NumPy, or similar Python libraries.
 * Good analytical and problem-solving skills.

Preferred Skills

 * Exposure to Apache Spark, Hadoop, or Hive.
 * Familiarity with NoSQL databases.
 * Knowledge of AWS, Azure, or Google Cloud.
 * Understanding of data warehousing and distributed data processing., * Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field., * Must have the legal right to work in the UK., * Bachelor's (required)

## Description

We are looking for a skilled Big Data Developer with strong Python and SQL experience to join our technology team. The successful candidate will work on data-processing applications, large datasets, and data pipelines to support client projects.

This role is suitable for developers with experience in Python programming, database management, and data processing who are interested in working with Big Data technologies., * Develop and maintain data-processing applications using Python.

 * Write, test, and optimize SQL queries.
 * Process, clean, and transform large datasets from multiple sources.
 * Build and maintain data pipelines and ETL workflows.
 * Work with databases and data storage systems.
 * Monitor data quality and troubleshoot data-processing issues.
 * Collaborate with developers, data engineers, and analysts to deliver project requirements.
 * Improve the performance and reliability of data-processing solutions.