Senior AWS Data Engineer — Data Products & Governance FTC

Microlise; Langley Mill; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

GreatPlace to Work

Private medical insurance

25 days holiday

EV Car Scheme

Employee Assistance

Cosmo Costco membership

Job summary

Microlise is seeking a Senior AWS Data Engineer on a 12-month fixed-term contract to shape how data drives decision-making across the business. You’ll design, build and govern high-quality data products for analytics and AI teams in a forward-thinking environment that emphasises governance, innovation and impact.

You’ll own end-to-end data product lifecycles, ensure data quality and compliance, manage metadata and lineage, and collaborate with stakeholders to translate business needs into

Qualifications

• Strong experience in data engineering and pipeline development.
• Understanding of data modelling, governance and quality frameworks.
• Experience with analytics or AI-ready datasets and translating business needs into data solutions.

Responsibilities

• Design, build and maintain data pipelines and transformations.
• Create governed data products for analytics and AI teams.
• Translate business needs into structured, reliable 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.
• Collaborate with stakeholders to understand data usage, dependencies and impact.
• Ensure data products meet quality, performance and SLA expectations.

Skills

Data engineering

Data pipelines

Data modelling

Analytics readiness

Stakeholder collaboration

AWS

Tools

AWS

Job description

Microlise is seeking a Senior AWS Data Engineer on a 12-month fixed-term contract to shape how data drives decision-making across the business. You’ll design, build and govern high-quality data products for analytics and AI teams in a forward-thinking environment that emphasises governance, innovation and impact.

You’ll own end-to-end data product lifecycles, ensure data quality and compliance, manage metadata and lineage, and collaborate with stakeholders to translate business needs into