Data Engineering Senior Manager

Accenture
London
2 weeks ago
Applications closed

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Data Engineering Senior Manager

Location: London, UK

Salary: Competitive Salary + Package (dependent on experience)

Career Level: Senior 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 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.

As a team:

We have exciting opportunities for a Data Engineer to join our Data & AI practice. We deliver scalable, business-critical, and end-to-end solutions for our clients - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies.

If you're looking for a challenging career in a vibrant environment with access to training and a global network of experts, this could be the role for you.

In our team you will learn:

  • Help support the data profiling, ingestion, collation, and storage of data for critical client projects.
  • How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySQL).
  • Quality engineering professionals utilize Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery.

As a Data Engineering Senior Manager, you will:

  • Digest data requirements, gather and analyze large scale structured data and validate by profiling in a data environment.
  • Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyze, validate, normalize, and cleanse data.
  • Understand and produce 'Source to Target mapping' (STTM) documents, containing data structures, business & data transformation logics.
  • Liaise with data/business SME 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.
  • Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods, and techniques.
  • Communicate with Project lead and other team members to provide regular progress updates and raise any risk/concerns/issues.

Core skills we're working with include:

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

What's in it for you:

At Accenture, in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance, and 3 extra days leave per year for charitable work of your choice!

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.

About Accenture:

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.

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: 30/05/25

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

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