Data Engineering Consultant in Northampton, Northamptonshire

Energy Jobline CVL; Northampton; Remote; GBP 40,000 - 50,000; Full time

Job summary

A leading consultancy in the energy sector is seeking a passionate Data Engineer to join their team. This home-based role involves working on cutting-edge projects and requires strong skills in SQL and Azure technologies. The ideal candidate will have experience in data engineering and excellent communication skills. A competitive salary and benefits including bonus, pension, and home working allowance are offered.

Benefits

Salary from £40,000-£50,000

Annual salary review

Bonus up to 10%

Pension – 5% matched

25 days holiday

Home working allowance

Enhanced parental pay and leave

Qualifications

• Experience in a Data Engineering (or similar) role.
• Strong scripting skills in SQL; Python is a bonus.
• Designing and developing ETL/ELT processes on Azure.
• Knowledge of data lakes and medallion lake-house architecture.
• Working knowledge of Power BI or similar visualisation tools.
• Strong communication, stakeholder management, and problem-solving skills.

Responsibilities

• Work as part of an Agile team to deliver modern data solutions.
• Lead projects end-to-end: run workshops to gather requirements.
• Design and build data solutions using Azure technologies.

Skills

Data Engineering

SQL

Python

ETL/ELT processes

Azure (Synapse, Data Factory, Databricks)

Power BI

Communication

Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Position

A growing Microsoft Partner Consultancy is looking for a passionate Data Engineer to join their impressive team and work on cutting‑edge projects for a variety of customers. The role is home‑based, with occasional travel to client sites, conferences, and events (expenses‑paid). Candidates based across the UK are welcome to apply.

Responsibilities

• Work as part of an Agile team to deliver modern data solutions, enabling better decision‑making and driving innovation.
• Lead projects end‑to‑end: run workshops to gather requirements, design solutions, develop, implement, and support data engineering pipelines.
• Design and build data ingestion, storage (data lakes or warehouses), processing, management, analytics, and visualisation solutions using Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI, and other latest technologies.

Qualifications

• Experience in a Data Engineering (or similar) role.
• Strong scripting skills in SQL; Python is a bonus.
• Designing and developing ETL/ELT processes on Azure (Synapse, Data Factory, Databricks, or Fabric).
• Knowledge of data lakes and medallion lake‑house architecture.
• Working knowledge of Power BI or similar visualisation tools.
• Strong communication, stakeholder management, and problem‑solving skills.
• Microsoft Certifications are desirable but not essential.

Benefits

• Salary from £40,000‑£50,000, depending on experience.
• Annual salary review.
• Bonus up to 10% of annual salary.
• Pension – 5% matched.
• 25 days holiday.
• Home working allowance.
• Enhanced parental pay and leave.
• Support towards industry certifications.
• And much more!

Application Process

This is a permanent role for UK only. The position does not offer sponsorship; you must have the right to work in the UK with no restrictions. Some roles may be subject to successful background checks including a DBS and Credit Check.

If you are interested in applying for this job, please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.