Senior Data & AI Analytics Consultant (Remote)

Hitachi, Ltd; City of Westminster; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Bonuses

Pension

Home working

Job summary

Hitachi Solutions Europe is hiring an experienced Data Consultant to join the Data, Analytics & AI practice. You will deliver bespoke data and analytics solutions, advising clients on best practices and ensuring projects are delivered on time and within budget.

Key responsibilities include leading teams, designing data architectures, and building BI solutions with Power BI on Azure dataplatforms. Significant client-facing experience and 10+ years in cloud data engineering are expected.

Qualifications

• 10+ years of experience in cloud data engineering and analytics.
• Extensive client-facing consultancy or SI experience.
• Hands-on with Python and SQL.
• Experience with Fabric, Databricks and Data Factory.
• Strong data modelling and ETL/ELT design and optimisation.
• Excellent communication and leadership within teams.

Responsibilities

• Provide expert advisory services on advanced analytics and data engineering.
• Lead teams and projects from requirements to solution design and delivery.
• Capture client requirements and develop scalable data architectures.
• Design and develop Data Platform, BI & Analytics solutions using cloud tech.
• Lead data engineering on Microsoft Fabric and Azure Databricks environments.
• Develop dashboards with Power BI to deliver clear insights.
• Mentor junior colleagues and promote best practices.

Skills

Python

SQL

Leadership

Client facing

Security Clearance

Tools

Power BI

Azure Databricks

Microsoft Fabric

Azure Data Factory

Job description

Hitachi Solutions Europe is hiring an experienced Data Consultant to join the Data, Analytics & AI practice. You will deliver bespoke data and analytics solutions, advising clients on best practices and ensuring projects are delivered on time and within budget.

Key responsibilities include leading teams, designing data architectures, and building BI solutions with Power BI on Azure dataplatforms. Significant client-facing experience and 10+ years in cloud data engineering are expected.