Data Engineer

Job description

Data Engineer

Salary - £50,000 - £65,000

Bristol - Hybrid working, 2 days per week onsite

We are seeking a talented and enthusiastic Software / Data Engineer to join our dynamic team. In this crucial role, you will support the creation and enhancement of AI/ML-driven data enrichment pipelines and processes. If you possess exceptional Python skills, a creative and innovative mindset, and a strong interest in modern AI/ML systems and models, this opportunity is for you!

Key Responsibilities:

·  Optimise and Develop Robust Pipelines: Continuously evaluate, refine, and enhance the performance of their data enrichment pipelines to ensure they are efficient, reliable, and effective.

·  Data Management: Design and implement robust data cleaning and ingestion processes to support analytical and machine learning models.

·  Collaborative Problem-Solving: Work closely with their team of data scientists to identify, debug, and resolve complex issues, ensuring smooth and efficient operations.

·  Develop and Deploy Models: Support the development, training, retraining, monitoring, and deployment of state-of-the-art machine learning models.

·  Stay Ahead of the Curve: Keep abreast of the latest developments and breakthroughs in data processing and AI/ML and apply these innovations to improve their internal processes.

·  Flexible Approach: Our client's engineers frequently collaborate across different roles, allowing for growth and exposure to backend technologies and other areas.

Skills and Qualifications:

·  Educational Background: A Bachelor's degree (or equivalent) in computer science, mathematics, or a related field.

·  Professional Experience: Minimum of three years of professional experience in a similar role, with a proven track record of success in developing and deploying machine learning models and/or data pipelines.

·  Technical Proficiency: Strong proficiency in Python, with experience in either PySpark or Pandas, is essential.

·  Software Engineering Knowledge: Knowledge of modern software engineering techniques, including best practises in coding, testing, and deployment.

·  Analytical Skills: Excellent analytical and problem-solving skills, particularly in resolving data quality issues and improving model/data processing performance.

·  Creative Solutions: Proven ability to think creatively and deliver innovative solutions independently.

Desirable Qualifications:

·  Production ML Experience: Hands-on experience in deploying and maintaining machine learning models in production environments.

·  Advanced Techniques: Experience with gradient boosting techniques and massive text embedding models.

·  Tool Proficiency: Experience with Databricks, Git, CI/CD pipelines, and advanced software testing approaches.

·  ML Expertise: Deep understanding of machine learning techniques and approaches, ensuring the application of best practises in model development.

If you are ready to join a dynamic team, apply now and be part of this journey in revolutionising data enrichment pipelines and processes with AI/ML technologies. Don't miss out on this opportunity to contribute to groundbreaking solutions and enhance your skills in the field of data engineering!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.