Data Engineer

Data Engineer

Location: Birmingham (1 day per week onsite)

Salary: Up to £48,000 + Benefits

Contract: Permanent

A Data Engineer is required to join a growing organisation undergoing significant investment in its data and AI capabilities. This is an exciting opportunity to work on modern data platforms, build scalable data pipelines, and help shape the future of data-driven decision making across the business.

Working within a collaborative team, you'll be responsible for developing and maintaining data solutions, integrating multiple data sources, supporting analytics and reporting, and contributing to the adoption of AI-powered workflows and automation.

Key Responsibilities & Skills:

Build and maintain scalable data pipelines using Apache Airflow or similar orchestration tools.

Develop integrations with internal and third-party APIs, ensuring reliable and efficient data flows.

Design and optimise SQL-based data models, transformations, and reporting datasets.

Support and maintain cloud-based data warehouse infrastructure.

Troubleshoot pipeline issues and manage dependencies across multiple data sources.

Work closely with stakeholders to translate business requirements into effective data solutions.

Contribute to the development of AI-powered workflows and integrations using modern LLM technologies.

Support analytics and reporting initiatives through high-quality, reliable data delivery.

Apply best practices around ETL/ELT, data governance, version control, and automation.Additional Experience & Attributes:

Strong SQL and Python skills, with experience using data processing libraries and API integrations.

Experience with cloud-based data platforms, data warehouses, and modern data architectures.

Knowledge of Git, Docker, and software engineering best practices.

Exposure to AWS services and cloud-native data solutions would be advantageous.

Interest in AI technologies, automation, and emerging data engineering practices.

Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.This is an excellent opportunity to join a growing business where you'll have the chance to influence data strategy, work with modern technologies, and contribute to impactful projects across data engineering, analytics, and AI.

If you're interested in learning more, please apply directly or get in touch with me via email on: (url removed)