Senior Data Engineer - 12 month FTC

Senior Data Engineer - AWS/Azure & Databricks Your new company
You'll be joining a large, forward-thinking organisation that is expanding its data and AI capabilities to support long-term growth. The business is building a modern data environment designed to deliver trusted, reusable datasets that support analytics, automation, and machine-learning initiatives across multiple teams.The environment is complex and fast-moving, with close collaboration across various technology and business functions. The company values adaptability, continuous improvement, and a strong customer focus. As the organisation evolves, new opportunities emerge, offering the chance to shape how data and AI are used across the enterprise.

Your new role
As a Senior Data Engineer, you'll play a pivotal role in delivering the organisation's AI and data strategy. Reporting to the data engineering leadership team, you'll design and build pipelines, frameworks, and processes that transform foundational data assets into high-value, derived data products.
Engineering

• Execute the data and AI product roadmap and contribute to strategic delivery.
• Build high-quality ETL/ELT and MLOps pipelines that support a single source of truth and reusable data products.
• Write, maintain, and review clean, high-quality source code.
• Develop and support a high-performing data engineering and machine-learning operations platform.
• Identify and implement continuous improvement opportunities and best practices.
• Partner with infrastructure teams to ensure seamless end-to-end delivery of data and AI services.
• Troubleshoot and resolve issues across data pipelines and platforms.
• Support BAU data products and platforms in line with agreed service levels.

Collaboration

• Work within agile ways of working and contribute to sprint delivery.
• Share knowledge across engineering and IT teams to promote reusable data assets.
• Support governance and risk teams to ensure responsible data management.
• Partner with a wide range of stakeholders including data engineers, ML engineers, data scientists, analysts, business partners, DevOps engineers, project managers, and testers.
• Contribute to the broader Data & Analytics Centre of Excellence and help foster a great team culture.

What you'll need to succeed

Experience working in large or complex organisations.

A degree in a technical or quantitative field, or equivalent experience.

5+ years of hands-on data engineering or MLOps experience.

Strong SQL skills and proficiency in Python.

Experience with ETL/ELT, MLOps, dimensional modelling, feature engineering, and modern data architectures.

Exposure to AI-related tooling, platforms, or concepts.

Experience with at least one major cloud provider.

Familiarity with modern data stack tools (e.g., dbt, Databricks, Airflow, cloud data warehouses).

Bonus: experience with software engineering or DevOps practices.

A problem-solving mindset, curiosity, and comfort working in ambiguity.

A proactive, positive attitude.

What you'll get in return

The opportunity to work on meaningful, high-impact data and AI initiatives that shape how the organisation operates.

A modern technology environment with access to contemporary tools, platforms, and engineering practices.

Support from a collaborative team that values learning, experimentation, and continuous improvement.

Exposure to a wide range of stakeholders across technology and the business, giving you strong visibility and influence.

Professional development opportunities, including training, certifications, and the chance to broaden your skills across data engineering, MLOps, and AI.

A culture that encourages innovation, ownership, and creative problem-solving.

Flexibility, stability, and the ability to grow your career in a supportive environment.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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