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- Tasks: Deploy machine learning models and implement data pipelines in a dynamic, agile environment.
- Company: Join Accenture, a global leader in professional services with a focus on innovation and diversity.
- Benefits: Enjoy 25 days of vacation, private medical insurance, and extra leave for charity work.
- Why this job: Be part of a team that drives positive change and values your contributions to technology and society.
- Qualifications: Strong Python skills and experience with cloud platforms like AWS are essential; consultancy experience is a plus.
- Other info: Flexible working required; opportunities available from junior to senior levels.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Job Title: Data & AI Engineer, Associate Manager CL8
Locations: London, Bristol or Manchester
Salary: Competitive salary and package (Depending on level of experience)
Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically 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 recognised 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
Qualification
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:
o Data warehousing and lake architectures
o ETL/ELT pipeline development
o SQL and NoSQL databases
o Distributed computing frameworks (Spark, Kinesis etc)
o Software development best practices including CI/CD, TDD and version control.
o Containerisation tools like Docker or Kubernetes
o Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation)
• 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
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:
o Effectively explain complex technical solutions to a non-technical audience
o Writing meaningfully to deliver clear information, and guidance
o Giving impactful presentations, articulating clearly key points
• Demonstrate critical thinking by:
o Analysing and evaluating information
o Using information gathered to present solutions and reach decisions
o Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems
• Work in partnership with others to:
o Effectively manage both internal and external stakeholders to ensure synergy
o Collaborate meaningfully with all parties to ensure outcomes are reached effectively
Whilst having experience in a consultancy is beneficial, demonstrable experience in working with clients/external partners in other settings will always be considered.
What’s in it for you
At Accenture in addition to a competitive basic salary, you will alsohave an extensive benefits package which includes 25 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.
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 30th September 2025
Accenture reserves the right to close the role prior to this date should a suitable applicant be found.
Locations
London
Additional Information
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces.
Join Accenture to work at the heart of change. Visit us at www.accenture.com . #J-18808-Ljbffr
Data & AI Engineer (AWS) employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Engineer (AWS)
✨Tip Number 1
Familiarise yourself with AWS services, especially those related to data engineering and machine learning. Understanding tools like AWS Lambda, S3, and SageMaker will give you a significant edge during interviews.
✨Tip Number 2
Engage with the data engineering community online. Join forums or LinkedIn groups where professionals discuss trends and challenges in data and AI. This can provide insights that may come in handy during your interview.
✨Tip Number 3
Prepare to discuss your experience with ETL processes and data pipelines. Be ready to share specific examples of how you've implemented these in past projects, as practical experience is highly valued.
✨Tip Number 4
Brush up on your problem-solving skills, particularly in relation to data quality and monitoring ML models. Being able to articulate your approach to resolving data issues will demonstrate your critical thinking abilities.
We think you need these skills to ace Data & AI Engineer (AWS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your proficiency in Python, cloud platforms like AWS, and any experience with machine learning projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and AI. Mention specific projects or experiences that demonstrate your ability to deploy machine learning models and work with ETL pipelines.
Highlight Soft Skills: In addition to technical skills, emphasise your communication abilities and teamwork experience. Accenture values effective communication, so provide examples of how you've explained complex solutions to non-technical audiences.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at WeAreTechWomen
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any experience you have with cloud platforms like AWS. Highlight specific projects where you've deployed machine learning models or developed ETL pipelines, as this will demonstrate your hands-on experience.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Accenture values effective communication, so be ready to articulate your thought process and solutions clearly, especially when discussing your past projects.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled data issues or improved data pipelines in previous roles. Show your critical thinking skills by discussing how you analyse information and present solutions, which is crucial for the role.
✨Engage with the Company Culture
Familiarise yourself with Accenture's core values and culture of inclusion and diversity. During the interview, express how your personal values align with theirs and how you can contribute to their mission of delivering exceptional client value.
