FT
FCamara Consulting & TrainingData Engineer – AWS Stack
Data Engineer building solutions on AWS for high - performance data processing. Leading initiatives in data architecture and analytics for operational support.
About the role
- Lead the design, governance, and delivery of our enterprise data architecture.
- Shape how data flows through our organisation, ensuring it’s structured, secure, and accessible to power our analytics and operational needs.
- Collaborate with architects, engineers, analysts, IT teams, and business stakeholders to create scalable data platforms and embed best practices in data modelling, governance, and lifecycle management.
- Design and implement enterprise-wide data architecture aligned with business goals and data strategy.
- Lead the architecture of scalable data pipelines and platforms, including Data Marts, Data Lakes, and Lakehouse architectures on AWS.
- Build and mature our data catalogue to improve data governance, management, and accessibility.
- Define data models, canonical data structures, and integration patterns to support reporting, analytics, and operational use cases.
- Establish and enforce architectural standards and data governance frameworks.
- Partner with engineering teams to build secure, high-performance data platforms.
- Provide architectural guidance on data validation, transformation, and cleansing to support data quality.
- Mentor and lead team members across Data, Analytics, and IT functions.
- Ensure compliance with data protection policies and regulatory requirements.
- Evaluate and recommend new data tools, frameworks, and technologies.
- Maintain comprehensive architecture documentation, including data flow diagrams and data models.
Requirements
- Degree in Computer Science, Information Systems, or a related field.
- 5+ years’ experience in data architecture or data engineering.
- Strong expertise with AWS data services (S3, Glue, Redshift, RDS, Lake Formation).
- Deep understanding of data warehousing, dimensional modelling, and data integration patterns.
- Proficient in data modelling, SQL, and scripting.
- Experience designing and implementing data lakes and Lakehouse architectures.
- Familiarity with data governance, data quality, metadata management, and data protection standards (e.g., GDPR).
- Knowledge of IAM, encryption, and data security best practices.
- Experience with DevOps/CI-CD pipelines and infrastructure as code (Terraform, CloudFormation) is a plus.
- AWS certifications (Data Analytics Specialty or Solutions Architect) desirable.
- Exposure to data cataloguing tools and experience in regulated industries advantageous.
- Strong problem-solving, system thinking, and communication skills.
- Proven ability to translate business goals into scalable data solutions.
- Leadership experience in cross-functional teams.
- Passion for innovation, continuous improvement, and knowledge sharing.
Benefits
- Hybrid role, with the expectations of a minimum two days a week in the office in Hatfield
- Annual leave from 26 days rising with length of service, and the option to purchase up to 5 extra days.
- A ‘Celebration Day’ in addition to public holidays that people can use to celebrate a religious festival or other occasion that is important to them.
- A generous 'double match pension scheme' that doubles the contributions you make (company contribution capped at 12%)
- We offer a range of family benefits including enhanced Maternity, Adoption, Paternity, Shared Parental Leave, Fertility Support Leave and up to 5 full or 10 half days of paid Carers Leave.
- Menopause policy and Reasonable Adjustment policy to help everyone perform at their best.
- Access to our Wellbeing Centre with support for looking after your physical and mental health.
- Discounts at a Range of Retail Outlets and on Dental and Medical Insurance through our Tap4Perks scheme.
- Up to 4 Affinity days a year to volunteer in the community.
- Life Assurance.
- Disability Confident Employer
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