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# Data Engineer - SC Cleared - £550p/d Outside IR35 - Remote

- **Company:** Exalto Consulting
- **Location:** United Kingdom (Remote available)
- **Salary:** £143,000
- **Contract:** Temporary contract
- **Skills:** Clean Code Principles, Geographic Information Systems, Artificial Intelligence, Airflow, Amazon Web Services, Information Engineering, Data Integration, Data Systems, Python (Programming Language), Machine Learning, Data Processing, Data Pipelines
- **Published:** November 10, 2026
- **Apply:** https://www.careerboard.com/gb/en/find-jobs-in-United-Kingdom/-87721A79780C3131AD/

## About the Role

* Strong commercial experience in data engineering.
 * Hands-on experience building and supporting data solutions on AWS.
 * Strong Python development skills for data processing and integration.
 * Practical experience using Apache Airflow to orchestrate data workflows.
 * Experience developing reliable, maintainable data pipelines.
 * A methodical approach to troubleshooting and resolving data issues.
 * The ability to communicate clearly and work effectively in a remote team.

Desirable experience The following would strengthen your application but are not essential:

 * Experience delivering data engineering within ML or AI programmes.
 * Experience working with marine data.
 * Experience processing or managing geospatial datasets.

## Description

We're urgently looking for an experienced Data Engineer with strong AWS, Python and Apache Airflow skills to join a programme on an initial six-month contract.

You'll help build and maintain reliable data pipelines, develop cloud-based data solutions and make data available for downstream analytics and programme requirements. This opportunity would suit someone who combines practical engineering skills with a focus on data quality, reliability and maintainability.

Experience supporting machine learning or artificial intelligence programmes would be valuable. Marine or geospatial data experience would also be a significant advantage, although neither is essential.

What you'll be doing

 * Developing and maintaining data pipelines using Python and AWS services.
 * Building, scheduling and monitoring data workflows with Apache Airflow.
 * Integrating data from multiple sources and preparing it for downstream use.
 * Improving pipeline reliability, performance and data quality.
 * Investigating data processing issues and implementing robust solutions.
 * Working with technical colleagues and stakeholders to understand data requirements.
 * Writing clear, maintainable code and documenting data workflows and processes.
 * Applying appropriate security practices when handling data and developing solutions.