Senior Data Engineer — AI-Ready Data Pipelines

Microlise; Nottingham; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Flexible working hours

Private medical insurance

25 days holiday

EV salary sacrifice scheme

Employee discounts

Job summary

Microlise seeks a Senior Data Engineer for a 12-month fixed-term contract in Nottingham, UK. You will design and manage data pipelines and products, enabling analytics and AI teams to unlock value while ensuring quality, governance and data integrity across the business.

You will own end-to-end data product lifecycles, collaborate with stakeholders, and drive data-driven decision making in a fast-paced environment with a focus on impact and continuous improvement.

Qualifications

• Experience in data engineering and pipeline development.
• Understanding of data modelling, governance and quality frameworks.
• Experience working with analytics or AI-ready datasets.
• Ability to translate complex business requirements into structured data solutions.
• A proactive, ownership-led mindset with strong stakeholder collaboration.

Responsibilities

• Design, build and maintain data pipelines and transformations.
• Create reusable, governed data products for analytics and AI teams.
• Translate business needs into structured datasets and data models.
• Own end-to-end lifecycle of data products from creation to optimisation.
• Apply and monitor data quality, validation and governance standards.
• Manage metadata, lineage, data contracts and compliance requirements.
• Work with stakeholders to understand data usage, dependencies and impact.
• Ensure data products meet quality, performance and SLA expectations.

Job description

Microlise seeks a Senior Data Engineer for a 12-month fixed-term contract in Nottingham, UK. You will design and manage data pipelines and products, enabling analytics and AI teams to unlock value while ensuring quality, governance and data integrity across the business.

You will own end-to-end data product lifecycles, collaborate with stakeholders, and drive data-driven decision making in a fast-paced environment with a focus on impact and continuous improvement.