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Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Archer
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 70000 - 100000 GBP Yearly GBP 70000.00 100000.00 YEAR
Job Description & How to Apply Below

Archer is collaborating with Accenture to connect them with exceptional professionals for this role.

Job Title:

Data Engineer with AI knowledge - Associate Manager

Salary:
Competitive salary and package (Depending on level of experience)

Locations:
London, Manchester, Birmingham or Bristol (must be willing to travel to client sites throughout the UK on an ad hoc basis)

Please Note:
Any offer of employment is subject to satisfactory BPSS and DV security clearance which typically requires 10 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application

Note:

The above information relates to a specific client requirement

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. With our thought leadership and culture of innovation, 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 of 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

Key Responsibilities
  • Deploy machine learning models to production and implement measures to monitor their performance
  • Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based on software engineering best practice
  • Define, document and iterate data mappings based on concepts and principles of data modelling
  • Re-engineer data pipelines to be scalable, robust, automatable, and repeatable
  • Navigate, explore and query large scale datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Identify and resolve data issues including data quality, data mapping, database and application issues
  • Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
  • Deliver high quality implementation and documentation for critical functionality
  • Deliver code, unit tests, feature tests, stubs and integration tests.
  • Operate in an agile environment as part of a scrum team and participate in sprint rituals
  • Work with team members to understand designs, functional requirements and triage issue
  • Stay engaged with the latest technological developments, especially in the fields of generative AI
Qualifications

We have a number of opportunities available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below.

  • Strong proficiency in Python
  • Extensive experience with cloud platforms (AWS, GCP, or Azure)
Experience With
  • Data warehousing and lake architectures
  • ETL/ELT pipeline development
  • SQL and No

    SQL databases
  • Distributed computing frameworks (Spark, Kinesis etc)
  • Software development best practices including CI/CD, TDD and version control.
  • Containerisation tools like Docker or Kubernetes
  • Experience with Infrastructure as Code tools (e.g. Terraform or Cloud Formation)
  • Strong understanding of data modelling and system architecture
  • Demonstrable experience on at least one AI/ML project
  • Knowledge of common machine learning frameworks and models
  • A good understanding of approaches to monitoring ML models in production
  • Experience leading a team and decision making skills, are essential

As a Technology Consultancy, We Look For People Who Can Deliver Both Exceptional Technical Solutions And Work As True Partners To The Organisations We Support. To Do This You Must Be Able To

  • Communicate effectively verbally and in writing, demonstrated through:
  • Effectively explain complex technical solutions to a non-technical audience
  • Writing meaningfully to deliver clear information, and guidance
  • Giving impactful presentations, articulating clearly key points
  • Demonstrate critical thinking by:
  • Analysing and evaluating information
  • Using information gathered to present…
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