SENIOR DATA ENGINEER

Canvas Reply; Manchester, Greater London; Remote; GBP 70,000 - 110,000; Full time

Job summary

Reply, Inc. is seeking a Senior Data Engineer in Manchester to own data solutions end-to-end—from design through production delivery. You will build scalable data pipelines using SQL, dbt and cloud platforms, delivering reliable data models for analytics and AI initiatives.

You will work directly with clients and stakeholders, applying best practices in data governance, security and observability while mentoring other engineers in a collaborative consulting environment.

Qualifications

• Strong SQL skills with ability to build complex transformations and data models.
• Hands-on experience with dbt, including building, testing and documenting transformations.
• Experience delivering data solutions on major cloud platforms (AWS/Azure/Google Cloud).
• Understanding of ETL/ELT, data modelling, warehouse architecture and scalable pipelines.
• Familiarity with Git, code reviews, automated testing and CI/CD pipelines.

Responsibilities

• Take end-to-end ownership of data engineering solutions from requirements to deployment and optimisation.
• Design, build and maintain scalable data pipelines and transformations using SQL, dbt, and cloud platforms.
• Develop high-quality data models to support reporting, analytics, AI, and business decisions.
• Apply software engineering best practices including version control, testing, CI/CD and deployment management.
• Ensure data solutions are reliable, secure, and maintainable with monitoring and observability.

Skills

SQL

dbt

Cloud platforms

ETL/ELT design

Data modelling

CI/CD

Tools

Git

Job description

Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things. Reply’s services include Consulting, System Integration, and Digital Services.

Role Overview:

Are you a Data Engineer who enjoys taking ownership of data solutions from initial design through to production delivery?We’re looking for a Senior Data Engineer to join our growing team, working with leading organisations to design, build and optimise modern, cloud-based data platforms. You’ll take ownership of data engineering solutions end to end, from understanding business requirements and designing data models to developing pipelines, implementing transformations and deploying reliable, production-ready solutions.You’ll combine strong hands‑on engineering skills with the ability to engage with clients, influence technical decisions and ensure solutions are scalable, secure and maintainable. This is an opportunity to play a key role in delivering data transformation projects while helping clients get more value from their data.

Responsibilities:

• Take end-to-end ownership of data engineering solutions, from requirements gathering and technical design through to development, deployment and ongoing optimisation.
• Design, build and maintain scalable data pipelines and transformation workflows using SQL, dbt and cloud data platforms.
• Develop high-quality, tested and reusable data models that support reporting, analytics, AI and business decision‑making.
• Apply software engineering best practices, including version control, automated testing, CI/CD and deployment management.
• Ensure data solutions are reliable, performant, secure and maintainable, implementing appropriate monitoring, testing and observability.
• Work directly with clients and stakeholders to understand business challenges, translate requirements into technical solutions and communicate design decisions.
• Contribute to technical architecture, engineering standards and best practices, helping clients improve their data capabilities.
• Support and mentor other engineers, sharing knowledge and contributing to a collaborative consulting environment.

About the candidate:

• Strong SQL skills, with experience building complex transformations and developing high-quality data models.
• Hands‑on experience with dbt, including building, testing, documenting and maintaining transformation workflows.
• Experience designing and delivering data solutions on at least one major cloud platform, such as AWS, Microsoft Azure or Google Cloud.
• Strong understanding of modern data engineering principles, including ETL/ELT, data modelling, warehouse architecture and scalable data pipeline design.
• Experience taking technical solutions from initial requirements and design through to production deployment and ongoing support.
• Familiarity with software engineering practices, including Git, code reviews, automated testing and CI/CD pipelines.
• Understanding of data quality, governance, access controls and security best practices.
• Strong communication and stakeholder management skills, with the ability to work effectively with both technical teams and business stakeholders.
• A proactive, delivery‑focused approach, with the confidence to take ownership of technical decisions and drive solutions forward.

Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.

Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.