Data Engineer

Data Engineer

Full-Time 50000 - 55000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build Power BI dashboards and develop Azure data solutions.
  • Company: Leading UK financial services company with a focus on data innovation.
  • Benefits: Competitive salary, private medical insurance, generous holiday, and a strong pension scheme.
  • Why this job: Join a fast-growing team and make an impact in data engineering.
  • Qualifications: Experience with Power BI, Azure Data Factory, and SQL required.
  • Other info: Flexible work with only 12 days in the office each month.

The predicted salary is between 50000 - 55000 £ per year.

A leading and growing UK financial services company is seeking a Data Engineer to build Power BI reporting solutions and support the development of its Azure data platform. This is an excellent opportunity for a mid-level engineer looking to deepen their Azure Data Factory, Synapse, and SQL experience while contributing to enterprise-wide MI and analytics.

The Role

  • Build and maintain Power BI dashboards, reports, and data models using DAX and Power Query (key focus).
  • Develop and maintain Azure Data Factory ETL/ELT pipelines.
  • Work with Azure Synapse Analytics on modelling, optimisation, and BI-ready datasets.
  • Support early adoption and migration to Microsoft Fabric.
  • Write and optimise SQL queries for reporting, analysis, and data preparation.
  • Collaborate with analysts, senior engineers, and business stakeholders.
  • Contribute to data quality, documentation, and continuous improvement.
  • Operate within Agile delivery using Azure DevOps and Git.

Key Skills & Experience

Essential

  • Strong experience developing Power BI reports, dashboards, and data models.
  • Hands-on expertise with Azure Data Factory ETL pipelines.
  • Working knowledge of Azure Synapse modelling and performance tuning.
  • Good SQL skills for analytics and optimisation.
  • Understanding of Azure Data Lake structures.
  • Experience using Git and Azure DevOps in Agile teams.
  • 2-4 years experience in a Data Engineering or BI Development role.

Desirable

  • Exposure to Microsoft Fabric.
  • Experience in cloud-based BI/MI environments.
  • Experience working in financial services or another regulated industry.

Why Apply?

  • High-impact role combining data engineering and BI development.
  • Fast-growing financial services environment with strong investment in data.
  • Career progression within a modern Azure data ecosystem.
  • Only 12 days per month required in the office.

Benefits

  • Pension: 7% employer / 5% employee
  • Private Medical Insurance (optical & dental)
  • Group Income Protection (75% salary)
  • Death in Service (4x salary)
  • Critical Illness Cover (£10k)
  • 25 days holiday rising to 28
  • 8% Company bonus

Data Engineer employer: Ignite Digital

Join a leading UK financial services company that prioritises employee growth and innovation in a dynamic work environment. With a strong focus on data engineering and BI development, you will have the opportunity to enhance your skills in Azure technologies while enjoying excellent benefits, including a generous pension scheme, private medical insurance, and a flexible working arrangement of only 12 days in the office each month. This is an ideal workplace for those seeking meaningful career progression in a supportive and collaborative culture.
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Contact Detail:

Ignite Digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. You never know when a casual chat could lead to your next job opportunity.

✨Show Off Your Skills

Create a portfolio showcasing your Power BI dashboards and Azure projects. This is your chance to shine! When you apply through our website, include links to your work so potential employers can see what you can do.

✨Ace the Interview

Prepare for common data engineering interview questions and be ready to discuss your experience with Azure Data Factory and SQL. Practice explaining your thought process when solving problems, as this will show your analytical skills.

✨Follow Up

After an interview, don’t forget to send a thank-you email! It’s a simple way to express your appreciation and keep yourself on their radar. Plus, it shows you’re genuinely interested in the role.

We think you need these skills to ace Data Engineer

Power BI
DAX
Power Query
Azure Data Factory
ETL/ELT Pipelines
Azure Synapse Analytics
SQL
Data Modelling
Data Optimisation
Azure Data Lake
Git
Azure DevOps
Agile Methodologies
Data Quality Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Power BI, Azure Data Factory, and SQL. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a great fit. We love seeing genuine enthusiasm for data engineering and BI development.

Showcase Your Technical Skills: When filling out your application, make sure to mention your hands-on experience with Azure Synapse and Git. We’re looking for candidates who can hit the ground running, so highlight any specific projects where you’ve used these tools.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team!

How to prepare for a job interview at Ignite Digital

✨Know Your Tools Inside Out

Make sure you’re well-versed in Power BI, Azure Data Factory, and Azure Synapse. Brush up on DAX and Power Query, as these will be key in your role. Being able to discuss specific projects where you've used these tools will really impress the interviewers.

✨Showcase Your SQL Skills

Prepare to talk about your experience with SQL queries. Have examples ready that demonstrate how you've optimised queries for reporting and analysis. This is crucial, so don’t shy away from diving into technical details during the interview.

✨Understand Agile Methodologies

Since the role involves working within Agile teams using Azure DevOps and Git, be ready to discuss your experience in Agile environments. Share how you’ve collaborated with team members and contributed to continuous improvement in past projects.

✨Highlight Your Financial Services Experience

If you have experience in financial services or regulated industries, make sure to bring it up. Discuss how this background has shaped your understanding of data quality and compliance, which are vital in this role.

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