At a Glance
- Tasks: Lead the design and development of advanced data pipelines and AI solutions.
- Company: Join Deloitte, a leader in technology and transformation.
- Benefits: Enjoy hybrid working, competitive salary, and continuous professional development.
- Other info: Collaborative environment with endless opportunities for growth.
- Why this job: Make a real impact with cutting-edge AI and data technologies.
- Qualifications: Experience in data or AI engineering and strong leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
Deloitte's AI & Data Solutions operating unit focuses on enabling clients to overcome complex systems challenges when delivering business-driven, technology-enabled change across their organisation. Our specialists help clients in designing and implementing fully integrated solutions across an organisation and with its external partners, suppliers, and customers. Our end-to-end solutions encompass business process, people, technology, and data; and focus on customers, quality, governance, and control.
As a Senior Data / AI Engineer, you will lead the design, development, and maintenance of sophisticated data pipelines, advanced analytics solutions, and AI-driven capabilities that enable strategic business decisions and support digital transformation. You will provide technical leadership within a workstream, ensuring high-quality delivery through guidance and oversight. In addition, you will mentor junior team members, sharing knowledge and embedding best practices. You will work closely with stakeholders and business analysts to understand their requirements, translating these into effective technical solutions that align with business goals.
This role is suited to individuals who enjoy working with data and AI technologies, value clean, reliable solutions, and want to deliver practical, business-focused outcomes. Applicants may have a background in either Data or AI engineering, with a keen interest in driving value from data using modern AI and analytics techniques. Applicants must have experience leading project teams, providing technical direction, mentoring junior colleagues, and engaging with stakeholders.
- Workstream Leadership: Lead a technical workstream within larger projects, coordinating activities, setting priorities, and ensuring high-quality delivery.
- Mentoring: Support and mentor junior team members within your workstream, sharing expertise and promoting best practices.
- Data Engineering & Development: Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.
- AI & Advanced Analytics: Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.
- Generative AI and Context Engineering: Develop generative AI enabled solutions using large language models and context/prompt engineering.
- Data Integration: Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
- Collaboration: Work closely with Business Analysts, Data Analysts, and product teams to understand requirements and translate them into technical solutions.
- Testing & Quality: Implement testing, validation, and monitoring to ensure data accuracy, model performance, and solution reliability.
- Performance & Optimisation: Optimise data processing, storage, and model performance for scalability and efficiency.
- Documentation: Produce clear technical documentation covering data models, pipelines, logic, and assumptions.
- Governance & Security: Adhere to data governance, security, and privacy standards throughout the development lifecycle.
Technical requirements: Experience mentoring or coaching junior team members, with a demonstrated ability to support team development and knowledge sharing. Proven ability to lead technical workstreams and deliver results in complex environments. Experience engaging with senior stakeholders and contributing to strategic discussions, with the confidence to influence decision-making and drive outcomes. Proven experience as a Data Developer, Data Engineer, AI Engineer, or similar role. Strong programming skills in Python, SQL, and/or similar languages. Experience building data pipelines and working with structured and unstructured data. Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. Strong analytical and problem-solving skills, with attention to detail. Ability to communicate technical concepts clearly to non-technical stakeholders. Experience working in Agile delivery environments.
Appointment to this role is subject to the candidate being eligible for and successfully obtaining UK Security Check (SC) security clearance.
If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we'll make an impact that matters.
Senior Data/AI Engineer - Manager, Eng AI & Data, AI & Data Solutions TLNT1_NI in Belfast employer: IrishJobs
As a Waste Resource Team Leader with our esteemed local authority client, you will be part of a dedicated team committed to enhancing community sustainability and environmental responsibility. Our organisation fosters a supportive work culture that prioritises employee development, offering training opportunities and a clear path for career progression. With competitive remuneration, including pension and holiday pay, along with the chance to make a meaningful impact in your community, this role is an excellent opportunity for those seeking rewarding employment in the public sector.
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