Data Engineer - Microsoft Fabric

JR United Kingdom; Northampton; On-site; GBP 35,000 - 55,000; Full time

Job summary

A leading company in data solutions is seeking a proactive Data Engineer skilled in Microsoft Fabric to enhance their analytics capabilities. The successful candidate will design secure data pipelines, collaborate across teams, and ensure data integrity while enjoying various personal benefits and a supportive workplace culture.

Benefits

Electric Vehicle Salary Sacrifice

Aviva Private Medical Insurance

Enhanced Maternity and Paternity Pay

Up to 6% pension contribution

Pinnacle Award (Employee recognition with Amazon vouchers)

Subsidised employee parking

Financial incentives for certifications

Qualifications

• Proven experience as a Data Engineer using Microsoft Fabric.
• Knowledge of PySpark for data analysis.
• Strong proficiency with SQL and data modeling.

Responsibilities

• Design and maintain scalable data pipelines using Microsoft Fabric.
• Collaborate with stakeholders to gather and interpret data requirements.
• Ensure data quality and governance throughout the data lifecycle.

Skills

SQL

PySpark

Data Modelling

Data Pipeline Development

Data Governance

Tools

Microsoft Fabric

Power BI

Azure

Job description

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Data Engineer - Microsoft Fabric, northampton

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Client:

Agile

Location:

northampton, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

About Agile Solutions

Agile Solutions GB Ltd is focused on deriving true value from its customers data. We help them to manage, monetise, leverage and make better use of it. We provide advice, support and delivery services across various industry sectors covering a multitude of areas, ranging from Data Strategy, Governance and Security to Data Platform Modernisation, Cloud and Customer Intelligence. We do everything with a view to creating tangible business benefits for our customers. To achieve them, our Agile Information Management framework allows us to measure how we are performing and ensures we deliver the value that our customers deserve.

Summary

We are seeking a skilled and proactive Data Engineer with experience in Microsoft Fabric to join our growing data team. You will be responsible for developing, maintaining, and optimising data pipelines and solutions that leverage the capabilities of Microsoft Fabric, supporting analytics, reporting, and data science initiatives.

This role is aligned with SFIA Level 3 (Apply), requiring the application of knowledge to a range of activities, using discretion in identifying and resolving problems. You will operate under general direction and be expected to manage your own workload within clearly defined responsibilities.

Responsibilities

• Design, develop and maintain scalable and secure data pipelines using Microsoft Fabric technologies (e.g., Data Factory, OneLake, Synapse, Power BI).
• Collaborate with stakeholders to gather requirements and translate business needs into technical data solutions.
• Build and manage data models and lakehouses in Microsoft Fabric.
• Ensure data quality, integrity, and governance across all stages of the data lifecycle.
• Monitor and optimise data performance and reliability.
• Implement best practices for data engineering including CI/CD, testing, and documentation.
• Work with cross-functional teams to support data analytics and reporting efforts.
• Stay current with emerging features and best practices in Microsoft Fabric and the broader Azure ecosystem.

Requirements

• Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services.
• Knowledge of using PySpark in notebooks for data analysis and manipulation.
• Strong proficiency with SQL and data modelling.
• Experience with modern ELT/ETL tools within the Microsoft ecosystem.
• Solid understanding of data lake and lakehouse architectures.
• Hands-on experience with Power BI for data integration and visualisation.
• Familiarity with DevOps practices, particularly around data pipeline deployment.
• Good problem-solving skills and the ability to work under minimal supervision.
• Effective communicator with stakeholders of varying technical expertise.

Learn to Earn: Financial incentives for completing certifications and technical training.

Expenses: Reimbursement for travel and subsistence

Pension: Up to 6% pension contribution

Lifestyle/Personal Benefits:

a. Electric Vehicle Salary Sacrifice

b. Aviva Private medical Insurance

d. Death in Service (4 x basic salary)

e. Pinnacle Award (Employee recognition with Amazon vouchers)

f. Subsidised employee parking (MK Office)

g. Enhanced Maternity and Paternity Pay

Culture and other benefits:

a. Career Progression, training, and development

b. Supportive and passionate colleagues

c. Social Solutions (supporting health and wellbeing)

d. Recognition for contributions and living AS values.

e. Flexibility in working hours/pattern.

f. Positive company brand, image, and reputation

g. Welcoming office premises in MK and Glasgow