Data Engineer

Camstgroup; United Kingdom; On-site; GBP 55,000 - 75,000; Full time

Job summary

A data engineering firm in the United Kingdom is seeking a Data Engineer to lead strategic data initiatives on cloud platforms. The candidate will design and optimize complex data models, manage ETL/ELT pipelines, and translate business needs into impactful solutions. Ideal applicants will have 5–7 years of experience in data engineering, strong technical skills in SQL and Python, and familiarity with customer data platforms. This role offers opportunities for leadership and growth in a collaborative environment.

Qualifications

• 5–7 years’ experience in data engineering, ideally in customer-centric domains.
• Proven experience with CDP implementations or large-scale martech/data projects.
• Comfortable leading client-facing technical engagements, from roadmap to delivery.
• Strong knowledge of SQL, Python, and modern ETL tooling.
• Experience with cloud platforms (AWS, GCP, or Azure).

Responsibilities

• Lead data workstreams across customer data platforms and digital transformation projects.
• Translate business needs into scalable technical solutions.
• Scope new projects and define resource requirements.
• Present project progress and solutions to stakeholders.
• Design and manage complex data models spanning multiple systems.

Skills

SQL

Python

ETL tooling

Data modeling

Client engagement

Tools

Airflow

DBT

Spark

AWS

GCP

Azure

Job description

Requisition ID11012-Posted - Years of Experience (1) -Technology- Where (1)

Glue Reply is the outcome-focused Architecture specialist within the Reply Group. Through services encompassing Business Change/Transformation, Strategy & Architecture, Data exploitation and Integration, Glue Replyis able tohelp its clients succeed by turning strategy into tangible solutions and vision into practical outcomes. Glue Reply diagnoses the challenges andadviseson the way to make real impact – enabling its clients to deliver.www.glue.reply.com

Role Overview:

As a Data Engineer at Glue Reply, you will lead strategic data initiatives across cloud-based platforms and digital transformation programmes. This role combines hands-on technical contribution with leadership, enabling you to define requirements, guide delivery, and collaborate closely with both client and internal teams. You will design and optimise complex data models and pipelines, ensuring the delivery of accurate, reliable, and actionable data solutions.

Responsibilities:

• Lead data workstreams across customer data platforms (CDP) and digital transformation projects.
• Translate business needs into scalable technical solutions and delivery plans.
• Scope new projects, define resource requirements, and guide clients through roadmap planning.
• Present project progress, blockers, and solution options to both technical and non-technical stakeholders.
• Design and manage complex data models spanning multiple systems and customer touchpoints.
• Build and optimize ETL/ELT pipelines for high-quality, timely, and actionable data, including monitoring and troubleshooting performance.
• Advise clients on downstream data usage, reporting, visualization, analytics best practices, and support DevOps processes while staying ahead of industry trends.

About the Candidate:

• 5–7 years’ experience in data engineering, ideally in customer-centric domains.
• Proven experience with CDP implementations or large-scale martech/data projects.
• Comfortable leading client-facing technical engagements, from roadmap to delivery.
• Strong knowledge of SQL, Python, and modern ETL tooling (e.g., Airflow, DBT, Spark).
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data stack components.
• Agile delivery experience, with ability to manage sprints, backlogs, and project documentation.
• Curious mindset with a passion for emerging technologies, especially AI.

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, skincolour, 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.