Data Engineering Manager

Join to apply for the Data Engineering Manager role at Accenture UK & Ireland

Location: Leeds, UK

Salary: Competitive Salary + Package (dependent on experience)

Career Level: Manager

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“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 with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

• Help support the data profiling, ingestion, collation and storage of data for critical client projects.
• Develop and enhance knowledge of agile ways of working and working in open source stack (PySpark/PySql).
• Utilize Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery.
• Digest data requirements, gather and analyse large scale structured data and validate by profiling in a data environment.
• Understand data structures and data model concepts (dimensional & relational) and design ETL patterns to ingest, analyse, validate, normalize and cleanse data.
• Produce ‘Source to Target mapping’ (STTM) documents with data structures, business and data transformation logic.
• Liaise with data/business SMEs to understand/confirm data requirements and obtain signoffs.
• Implement data quality procedures on data sources and preparation to visualize data and synthesize insights to drive business value.
• Support data management standards and policy definition including synthesizing and anonymizing data.
• Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods and techniques.
• Perform unit/system testing to debug code/data/business logic issues during development.
• Communicate progress and raise risks/concerns/issues with Project lead and team members.

• Palantir (Must Have)
• Python
• PySpark/PySQL
• AWS or GCP

At Accenture in addition to a competitive basic salary, you will have an extensive benefits package including 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work. Flexibility and mobility are required to deliver this role as there will be onsite requirements with clients and partners to enable delivery of services.

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at www.accenture.com

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

Closing Date for Applications: 28/11/25

Accenture reserves the right to close the role prior to this date should a suitable applicant be found.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting