Lead Data Consultant in London

Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations.

We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients.

We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation – And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success.

Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer’s offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi.

This is a unique and challenging opportunity for an experienced Data Consultant to join the Data, Analytics & AI practice of Hitachi Solutions Europe. In this role you will be providing bespoke and cutting edge data and advanced analytics solutions, bringing significant commercial advantage to some of the UK’s most recognised companies.

The successful candidate will draw upon their experience with business intelligence tools and techniques and to advise clients on data and analytics best practices and deliver data and analytics solutions on time and to budget.

Main areas of responsibility:

• Provide expert advisory services to clients on advanced analytics and data engineering best practices, ensuring delivery of scalable and efficient solutions.
• Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation.
• Capture client requirements and lead the development of solution architectures that meet both current and future business needs.
• Design and develop bespoke Data Platform, Business Intelligence & Advanced Analytics solutions, leveraging the latest cloud technologies.
• Lead the design, implementation, and optimisation of enterprise data engineering solutions on Microsoft Fabric and Azure Databricks, delivering robust, secure, and scalable data products that support analytics, reporting, and AI use cases.
• Build and oversee the development of dynamic, interactive reports and dashboards using Power BI, ensuring clear, actionable insights for clients.
• Guide teams in data modelling and transformation efforts, ensuring the development of optimised data architectures, including the design of ETL/ELT pipelines.
• Mentor and guide junior team members, sharing knowledge and best practices to support their professional development.

Qualifications:

• 10+ years of experience designing and delivering cloud-based Data Engineering, Analytics, and AI solutions, ideally within a consulting or systems integration environment.
• Extensive experience in a client-facing role, previously working for a consultancy or systems integrator, with a proven track record of leading teams or projects.
• Hands-on experience with modern programming languages such as Python and SQL.
• Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks.
• Expertise in data visualisation and analytics using Power BI, QlikView or Tableau.
• Strong experience in data modelling and transformation, including the design of ETL/ELT processes and data warehousing solutions.
• Experience or awareness of Big Data and Data Science and/or AI technologies, including the integration of Machine Learning models and/or Generative AI components.
• Demonstrated leadership within the Data Engineering and AI domain, acting as a trusted advisor to clients and internal teams.
• Excellent communication, problem-solving, and client management skills, with proven experience of leading teams.
• All applicants must either hold active Security Clearance or be eligible to obtain Security Clearance.

Diversity is the wellspring of our innovation and our growth engine, and we believe that creativity is fuelled by diversity. To be truly user centric, we need to ensure that the teams developing products and services are representative of the communities they serve. Our collective success is achieved by fostering and respecting our employees’ and customer’s individualities coming together as One Team.