Senior Data Engineer

Salary: £64,000 - 104,000 per year

Requirements:

• We require a Bachelors or Masters degree in Computer Science, Engineering, or a related technical field.
• We require 7+ years of experience in data engineering or software engineering roles, with at least 3 years in a leadership or management position.
• We require strong expertise in data pipeline development, ETL/ELT processes, and data warehousing solutions.
• We require proficiency with cloud platforms such as AWS, GCP, or Azure, and big data tools like Apache Spark and Python.
• We require experience with relational and NoSQL databases.
• We require a solid understanding of data modeling, data architecture, and engineering frameworks.
• We require proven ability to lead and scale engineering teams and manage cross-functional projects.
• We require excellent problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• We require experience with agile development methodologies.

Responsibilities:

• We lead, mentor, and grow a high-performing team of data engineers.
• We design, build, and maintain scalable, reliable, and efficient data pipelines and architectures.
• We oversee the development and implementation of ETL/ELT processes, data warehousing, and data lake solutions.
• We collaborate with stakeholders to understand business requirements and translate them into technical data solutions.
• We ensure data quality, consistency, and security across all data engineering workflows.
• We define best practices and standards for data engineering and promote their adoption.
• We drive continuous improvement in data infrastructure and tooling, leveraging cloud platforms and big data technologies.
• We collaborate with product managers to manage project timelines, resource allocation, and deliverables to meet business goals.
• We work with data governance and compliance teams to ensure data privacy and regulatory compliance.
• We stay updated with the latest data engineering trends and technologies and evaluate their applicability.

Technologies:

• AWS
• Azure
• Big Data
• Cloud
• ETL
• GCP
• Marketing
• NoSQL
• Python
• Security
• Spark
• dbt

More:

We are WPP, the trusted growth partner for the worlds leading brands, combining media intelligence, data solutions, creativity, production, enterprise solutions, and strategic counsel in a single company powered by our agentic marketing platform, WPP Open. We work across 100+ markets with deep local expertise and are committed to fostering creativity, belonging, and continuous learning. We offer passionate, inspired people, scale and opportunity, and challenging, stimulating work. We use a hybrid approach, with teams in the office around four days a week, and we are committed to an inclusive, respectful workplace where everyone can belong and grow.

last updated 35 week of 2026