Data Engineering Manager

Data Engineering Manager

Location: London, UK

Salary: Competitive Salary + Package (dependent on experience)

Career Level: Manager

Accenture is a leading global professional services company, offering services in strategy and consulting, interactive, technology, and operations, with digital capabilities across all these areas. We leverage industry expertise, diverse skills, and next-generation technology to solve business challenges.

We value inclusion and diversity, supporting the whole person. Our core values include Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual, and Integrity. Accenture is consistently recognized worldwide for both business performance and inclusion and diversity.

"Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and communities." - Julie Sweet, CEO

Team Overview:

We have exciting opportunities for a Data Engineer to join our Data & AI practice, part of the larger Cloud First Group. We deliver scalable, business-critical, end-to-end solutions for our clients, from data strategy and governance to core engineering, enabling transformation in cloud technologies.

Join us to learn, grow, and advance in an innovative culture that values shared success, diverse thinking, and boundaryless opportunities for your career development.

If you're seeking a challenging career in a vibrant environment with training and a global network of experts, this role is ideal. You'll work with cutting-edge technologies and develop new skills on the job.

What You'll Learn:

• Support data profiling, ingestion, collation, and storage for critical client projects.
• Enhance your knowledge of agile methodologies and open source stacks like PySpark/PySQL.
• Utilize Accenture's delivery assets for quality initiatives to ensure solution excellence throughout delivery.

As a Data Engineering Manager, your responsibilities include:

• Analyzing large-scale structured data and validating it through profiling.
• Understanding data structures and models (dimensional & relational) to design and develop ETL mechanisms for data ingestion, analysis, validation, normalization, and cleansing.
• Collaborating with data/business SMEs to understand and confirm data requirements and obtain approvals.
• Implementing data quality procedures to visualize data and generate insights that drive business value.
• Developing and maintaining data engineering best practices, contributing to analytics insights, visualization concepts, and techniques.
• Communicating progress, risks, and issues to project leads and team members.

Core Skills:

• Palantir
• Python
• PySpark/PySQL
• AWS or GCP

Benefits:

In addition to a competitive salary, Accenture offers extensive benefits including 30 days' vacation, private medical insurance, and 3 extra days off annually for charitable activities. Flexibility and mobility are required, including onsite client visits as needed.

About Accenture:

We combine unmatched experience and capabilities across over 40 industries, powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 509,000 employees in more than 120 countries, we drive continuous innovation to improve client performance and create lasting value. Visit us at .

We are an equal opportunities employer, welcoming applications from all societal sections without discrimination based on race, religion, ethnicity, disability, age, gender, or other protected characteristics.

Application Deadline: 30/05/25

We reserve the right to close the role early if a suitable candidate is found.