Senior Data Engineer - Analytics / Amazon QuickSight at Appvia

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

650.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, Amazon QuickSight, AWS, SQL, Data Governance, Data Quality, Python, Terraform, CloudFormation, CI/CD, Data Pipelines, Business Intelligence, Dashboard Design, Data Models, Security

Industry

IT Services and IT Consulting

Description

Senior Data Engineer - Analytics / Amazon QuickSight Contract: Outside IR35 Day Rate: £550–£650 per day Duration: 4-6 weeks Location: UK Remote/Hybrid (with access to Appvia’s London office if required) About Appvia At Appvia, we help organisations unlock the power of data, cloud, and AI to deliver better services and smarter decision-making. We design and implement secure, scalable cloud platforms and data solutions that accelerate digital transformation and innovation. Our Data & AI capability supports organisations in building modern data platforms, enabling advanced analytics, and adopting ML and GenAI technologies responsibly, helping them move from insight to impact. About the Role We are seeking an experienced Senior Data Engineer (Analytics) and expert in AWS QuickSight for a short-term contract engagement with an enterprise fintech customer. This is a well-defined project working on a mature data platform, focused on delivering secure, multi-tenanted BI dashboards for different user groups across the organisation. You’ll be the Amazon QuickSight expert in the room, leading the design and implementation of high-quality, governed analytics solutions alongside Appvia’s delivery team. The right candidate will be comfortable owning the analytics layer end-to-end, from data modelling and SQL through to dashboard design, security, and performance optimisation, and able to translate complex requirements into elegant, production-ready outcomes. Interview Process - 2 stage Talent Acquisition screening Final interview with Hiring Managers Key Responsibilities Lead the design and delivery of interactive, secure BI dashboards using Amazon QuickSight. Design multi-tenant analytics solutions with appropriate row-level security, access control, and governance. Engineer and optimise data models to support performant business intelligence use cases. Work with AWS data services including Redshift, Athena, Glue, Lambda, and S3. Develop reusable dashboard templates, styles, and reporting standards. Collaborate with Appvia engineers and client stakeholders to gather requirements and shape solutions. Communicate complex technical concepts clearly to both technical and non-technical audiences. Ensure analytics solutions follow best practices for security, performance, and data quality. Design governed data architectures with best practice access control. Develop and maintain robust data pipelines for ingestion, transformation, and storage of large datasets. Skills & Experience Essential 5+ years’ experience in data engineering and/or analytics engineering. Expert, hands-on experience with Amazon QuickSight, including SPICE, dashboard design, and security implementation. Deep knowledge of AWS cloud platform (Azure, GCP a bonus). Hands-on experience with cloud-native data services (e.g. Redshift, Athena, Glue, Lambda, S3). Experience designing efficient data models for business analytics. Knowledge of data governance, security, and quality best practices. Good knowledge of cloud-based analytics environments and AWS security practices. Advanced SQL proficiency and experience with relational and NoSQL databases. Programming skills (Python, Go, Ruby, Java or similar). Experience with IaC tools (Terraform or CloudFormation/CDK). Understanding of CI/CD and data engineering pipelines orchestration. Strong communication skills, able to work with both technical and non-technical stakeholders. Experience in a consulting or client-facing environment. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field. Certifications in relevant cloud platforms (e.g., AWS Certified Data Engineer, Google Professional Data Engineer, Microsoft Azure Data Engineer). Any additional certifications in data governance, machine learning, or analytics would be a plus. Why join Appvia? We are a self-funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud-based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With us our customers, like the UK’s Home Office & Bank of England, are harnessing cloud-native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What’s on offer? ✨ We’re mindful - you’ll have flexibility to work from our dog-friendly Barbican office, your home or a combination of both - with flexible hours to make work & home, work well. 🎒We want you to grow - you’ll be joining an exceptional team who will is pro-active when it comes to learning and knowledge sharing. 🎉 We’re fun - Dog friendly office, wear what makes you comfortable, free snacks in the office, regular team socials, board game nights, industry meetups, pool table, ping pong table and darts board! But don’t just take our word for it, you can check out what our Appvian's say about us on Glassdoor and by following us on LinkedIn, Twitter and Tik Tok. We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start-up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.

Responsibilities

Lead the design and delivery of interactive, secure BI dashboards using Amazon QuickSight. Collaborate with Appvia engineers and client stakeholders to gather requirements and shape solutions.