Hybrid Data Engineer - Azure BI & Analytics

Nigel Frank; England; Hybrid; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Hybrid working model

Job summary

Nigel Frank is partnering with a leading international technology organisation to hire a Data Engineer in Dartford, with a hybrid work arrangement (3 days onsite). You will design and maintain ETL pipelines and BI data platforms to support reporting and analytics across the business.

The role offers exposure to modern Azure technologies, data modelling, governance and collaboration with stakeholders to drive data-driven decision making across the organisation.

Qualifications

• Proven experience in a Data Engineer, BI Engineer or Data & Analytics role.
• Advanced SQL skills for querying, transforming and handling large datasets.
• Knowledge of Python for automation, data processing or analytics.

Responsibilities

• Design, develop and maintain ETL processes, data pipelines and data integration solutions.
• Create and optimise data models to support reporting, analytics and business performance measurement.
• Collaborate with business users to gather requirements and translate them into scalable data solutions.
• Ensure data integrity, governance and quality across the BI environment.
• Support the ongoing development and optimisation of the organisation's reporting and analytics platform.
• Maintain technical documentation, processes and data architecture standards.

Skills

SQL

Python

Data modelling

Data warehousing

Tools

Azure Data Factory

Azure Synapse Analytics

Fabric

Job description

Nigel Frank is partnering with a leading international technology organisation to hire a Data Engineer in Dartford, with a hybrid work arrangement (3 days onsite). You will design and maintain ETL pipelines and BI data platforms to support reporting and analytics across the business.

The role offers exposure to modern Azure technologies, data modelling, governance and collaboration with stakeholders to drive data-driven decision making across the organisation.