Senior Data Engineer - Reply

ZipRecruiter; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A digital transformation leader in the UK is seeking a Senior Data Engineer to lead strategic data initiatives on CDP projects. This role involves data modelling, technical leadership, and collaborating with clients. The ideal candidate has 5-7 years of experience, strong SQL and Python skills, and a passion for emerging technologies. Join a forward-thinking team that embraces diversity and equal opportunity.

Qualifications

• 5-7 years' experience in data engineering, ideally within customer-centric domains.
• Proven experience on CDP implementations or large-scale martech/data projects.
• Strong working knowledge of SQL, Python, and modern ETL tooling.

Responsibilities

• Own and lead data workstreams across CDP and marketing technology implementations.
• Translate business needs into scalable technical solutions.
• Design and manage large, complex data models across customer touchpoints.

Skills

SQL

Python

ETL tooling

Data modelling

Agile delivery

Client-facing engagement

Tools

Airflow

DBT

Spark

AWS

GCP

Azure

Job description

Overview

Senior Data Engineer

About Comwrap Reply: Comwrap Reply is a European leader in digital transformation, specialising in Adobe Experience Cloud, customer data strategy, and composable technology. We help global brands modernise their marketing operations, connect customer experiences, and activate value from their data.

Role overview

We are looking for a Senior Data Engineer to lead strategic data initiatives across customer data platform (CDP) projects and broader digital transformation programmes. This role is ideal for someone who is 80% technical leader and 20% hands-on contributor—comfortable scoping complex technical requirements, leading delivery, and collaborating across internal and client teams.

Responsibilities

• Own and lead data workstreams across CDP and marketing technology implementations
• Translate business needs into scalable technical solutions and delivery plans
• Scope new projects, define resource needs, and guide clients through roadmap planning
• Present progress, blockers, and solution options to both technical and non-technical stakeholders
• Design and manage large, complex data models across multiple customer touchpoints and systems
• Build and optimise ETL/ELT pipelines to enable accurate, timely, and actionable data use; monitor and troubleshoot data pipelines, ensuring quality, reliability, and performance
• Support DevOps processes, including managing sprint boards (e.g., Jira) and ensuring clean documentation
• Work closely with client teams to ensure data models support activation, segmentation, and reporting use cases; advise on downstream data usage, including data visualisation and reporting best practices; contribute to the creation of analysis-ready datasets that drive strategic marketing decisions
• Stay ahead of industry trends (e.g. AI, privacy, resolution) and contribute ideas for client enablement; support pre-sales or pitch efforts where a data expert is required; attend and potentially speak at industry events or conferences (optional but encouraged)

About the candidate

• 5-7 years' experience in data engineering, ideally within customer-centric domains
• Proven experience on CDP implementations or large-scale martech/data projects
• Comfortable leading client-facing technical engagements, from roadmap to delivery
• Strong working knowledge of SQL, Python, and modern ETL tooling (e.g. Airflow, DBT, Spark)
• Familiar with cloud platforms (AWS, GCP, or Azure) and modern data stack components
• Experience in agile delivery environments, comfortable managing sprints and backlogs
• A curious mindset with a passion for emerging technologies, especially AI

Reply is an Equal Opportunities Employer and committed to embracing 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 , , , , , , , , , medical history, skin , 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.