Data & AI Engineer in Leeds

Data & AI Engineer in Leeds

Leeds Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build and operate cloud data solutions using cutting-edge technologies like Azure and AWS.
  • Company: Join Accenture, a global leader in professional services with a culture of innovation.
  • Benefits: Enjoy 25 days' vacation, private medical insurance, and extra leave for charity work.
  • Other info: Flexible working environment with opportunities for growth and collaboration.
  • Why this job: Kickstart your career in AI and data engineering while making a real impact.
  • Qualifications: Experience with cloud platforms, Python, SQL, and CI/CD tools is a plus.

The predicted salary is between 63000 - 77000 £ per year.

Location: Leeds

Salary: Competitive Salary + Package (dependent on experience)

Career level: Specialist/Consultant

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 of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.

As a Data & AI Engineer, you will join as an entry point into this capability, working across our three areas and developing your skills and specialisms as you grow. Our engineers work in an AI-augmented delivery model, using GenAI tooling as part of everyday engineering practice, applying AI-assisted approaches to how we design, build, test and document, and creating data and platform foundations that are ready for the AI and agentic systems our clients are building and running.

Key Responsibilities:

  • Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake.
  • Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data at scale.
  • Building and supporting cloud platform infrastructure using Infrastructure as Code tools such as Terraform, Bicep or CloudFormation.
  • Implementing CI/CD pipelines for data and platform solutions using Git, Azure DevOps or GitHub Actions.
  • Applying data modelling principles using AI tooling to draft and iterate models.
  • Implementing data quality, lineage, observability and monitoring capabilities.
  • Supporting cloud platform operations including networking, identity and access management, security fundamentals and policy adherence.
  • Using GenAI and AI-assisted development tools to accelerate engineering delivery.
  • Developing a working understanding of agentic concepts to inform how you design and build solutions.
  • Collaborating with architects, product engineers and business stakeholders to understand requirements.

Qualifications and Experience:

  • Cloud engineering across one or more of: Azure, AWS, GCP, Databricks, Microsoft Fabric or Snowflake.
  • Python and SQL, with strong engineering fundamentals.
  • Batch and/or streaming pipeline development, or cloud infrastructure and platform engineering.
  • CI/CD tooling for data and platform delivery.
  • Practical use of GenAI or AI-assisted development tools in day-to-day engineering work.
  • Some familiarity with AI-ready architecture concepts.
  • A basic understanding of agentic AI concepts.

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 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.

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: 18/12/2026

Data & AI Engineer in Leeds employer: 3003 Accenture (UK) Limited Company

Accenture is an exceptional employer, offering a vibrant work culture in London that champions innovation, diversity, and personal growth. Employees benefit from competitive salaries, generous leave policies, and comprehensive health and wellbeing support, all while working collaboratively to drive impactful change for clients. With a strong commitment to career development and a focus on creating 360° value, Accenture empowers its team members to thrive both professionally and personally.

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Contact Details:

3003 Accenture (UK) Limited Company Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & AI Engineer in Leeds

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We think you need these skills to ace Data & AI Engineer in Leeds

Cloud Engineering
Azure
AWS
GCP
Databricks
Microsoft Fabric
Snowflake

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at 3003 Accenture (UK) Limited Company, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 3003 Accenture (UK) Limited Company. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at 3003 Accenture (UK) Limited Company

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.