Business Intelligence Data Engineer

Jefferson Frank; Dartford; Hybrid; GBP 42,000 - 50,000; Full time

Benefits offered by this job

Hybrid work model

On-site 3 days/week

Job summary

Jefferson Frank is seeking a Data Engineer to join its Dartford team in a hybrid setup (3 days in the office). You will design, build and maintain data pipelines, optimise ETL processes and collaborate with stakeholders to enable robust BI and analytics capabilities.

The role requires strong SQL, Python, Azure data services (ADF/Synapse/Fabric), and data warehousing knowledge. You will contribute across the data lifecycle to shape the organisation's data landscape.

Qualifications

• Experience designing and managing data pipelines (ETL) across multiple sources.
• Strong SQL skills with large and complex datasets.
• Hands-on experience with Azure data technologies (ADF, Synapse, Fabric).
• Ability to translate business needs into scalable data solutions.

Responsibilities

• Design, develop and maintain ETL processes and data pipelines.
• Build and optimise data models to support reporting and analytics.
• Collaborate with stakeholders to gather requirements and deliver data solutions.
• Ensure data quality, governance, and documentation.

Skills

ETL design

Data modeling

Analytics

Stakeholder engagement

Data governance

SQL

Python

BI/Reporting

Tools

Azure Data Factory

Azure Synapse Analytics

Microsoft Fabric

Job description

Data Engineer – Dartford – Hybrid (3 Days) – Up to £50,000

We are working in partnership with a well‑established international technology business that delivers cutting‑edge solutions to commercial and industrial markets across the globe. As part of its ongoing investment in digital transformation and data innovation, the company is looking to appoint a Data Engineer to join its growing internal IT function.

This is an excellent opportunity for a data‑driven professional to play a pivotal role in shaping and enhancing the organisation's data and Business Intelligence capabilities. You will be responsible for building and maintaining robust data pipelines, optimising data processes, and ensuring high‑quality data is available to support strategic decision‑making across the business.

Working closely with stakeholders from multiple departments, you will help design scalable data solutions, improve reporting capabilities and contribute to the ongoing evolution of the company's data landscape. This position is ideal for someone who enjoys working across the full data life cycle and is passionate about turning complex data into valuable business insights.

The Role

• Design, develop and maintain ETL processes, data pipelines and integration solutions.
• Build and optimise data models to support reporting, analytics and business performance tracking.
• Partner with business stakeholders to gather requirements and translate them into effective, scalable data solutions.
• Ensure data accuracy, consistency, governance and quality across the BI environment.
• Support the continued enhancement of reporting and analytics platforms.
• Produce and maintain technical documentation, data processes and architecture standards.

Required Experience

• Experience in a Data Engineer, BI Engineer or Data & Analytics role.
• Strong hands‑on experience with Microsoft Azure data technologies, including Azure Data Factory, Azure Synapse Analytics and/or Microsoft Fabric.
• Experience designing and supporting ETL processes and data pipelines.
• Advanced SQL skills with experience working with large and complex datasets.
• Knowledge of Python for data processing, automation or analytics.
• Solid understanding of data warehousing principles and reporting best practices.
• Experience integrating and managing data from multiple sources and business‑critical systems.
• Strong analytical, problem‑solving and stakeholder engagement skills.

What do they offer

• Salary up to £50,000.
• Hybrid working model with flexibility built in.
• Exposure to a diverse range of Data Engineering, Business Intelligence and Analytics initiatives.
• The chance to make a significant impact on the organisation's data strategy and reporting capabilities.

If you are a data‑driven professional looking for your next challenge, we'd love to hear from you.

All candidates must be available to travel on‑site at least 3 days a week. To be eligible for this role you are required to have a full, unrestricted right to work in the UK.