You’ll receive a blend of structured learning, hands-on experience, and tailored apprenticeship training to help you grow into a confident tech professional. From day one, you’ll be supported by mentors, coaches, and a dedicated Accenture team focused on your development and wellbeing.
You’ll get access to:
Core Apprentice Training: Your journey will begin with a comprehensive 5-week training programme designed to give you a strong foundation in both technical and professional skills. You’ll explore the fundamentals of AI, and data handling while also learning how modern engineering teams operate—using agile methods, collaboration tools, and real-world problem solving.
Project-based learning: You’ll work on real challenges for real clients. With support from experienced teams, you’ll gain practical knowledge and grow your confidence on the job.
Technology Exposure: Every project is different—and so is the tech. You’ll get hands-on experience with a wide range of technologies and systems, along with training to help you understand and implement them effectively.
Professional Development: We invest in your continuous growth through our extensive learning portal, offering curated pathways, classroom-based and self-paced courses, and on-demand resources to keep your skills sharp throughout your apprenticeship.
Apprenticeship Training: You’ll study towards the Level 6 (Degree Equivalent) AI Engineer Apprenticeship through BPP University. The programme lasts for 18 months. You’ll spend one day a week at university and four days working on client projects—applying what you learn in real time. On successful completion, you’ll have the opportunity to move into a permanent role at Accenture.Training Outcome:Typical roles include: AI Engineer, Data Scientist, Machine Learning Engineer, AI Solutions Architect.Employer Description:Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 801,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Working Hours :Monday to Friday.
Shifts to be confirmed.Skills: Communication skills,A continuous desire to learn,Flexibility and resilience,Fast-paced environment,Teamwork skills,Commitment and motivation....Read more...
Lead Data Engineer (Databricks) - Leeds
(Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI / CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer)
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a Lead Data Engineer with significant Databricks experience as well as leadership responsibility to run an exceptional Agile engineering team and provide technical leadership through coaching and mentorship.
We are seeking a Lead Data Engineer capable of leading client delivery, ensuring the highest standards. This will include working with architects, creating automated tests, instilling a culture of continuous improvement and setting standards for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections.
The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL – Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key.
We are keen to hear from talented Lead Data Engineer candidates from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development with unlimited career progression for top performers.
Location: Leeds
Salary: £55k - £70k + Pension + Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI / CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer)
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