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For Companies At a Glance
- Tasks: Design and build cutting-edge data solutions using Azure technologies.
- Company: Join a supportive team in a dynamic data-driven environment.
- Benefits: Flexible hybrid working, competitive salary, and generous benefits package.
- Why this job: Make an impact with modern data technologies and clear career progression.
- Qualifications: Strong SQL skills and experience with Azure Data Factory and SSIS.
- Other info: Diverse and inclusive workplace committed to your growth.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Data Engineer / Analyst to join our growing data team. This is a fantastic opportunity to work on cutting‑edge Azure data solutions, helping to shape and deliver high‑quality, scalable data platforms that drive real business insights.
What You’ll Be Doing
- Designing, building, and maintaining ETL pipelines using Azure Data Factory, SSIS, and SQL Server
- Developing and optimising stored procedures and queries for data transformation and integration
- Building and maintaining data warehouse solutions and dimensional data models
- Supporting data integration projects and ensuring data quality, accuracy, and consistency
- Delivering insights through Power BI dashboards and reports
- Using Python and PowerShell for automation and data manipulation
- Collaborating with business stakeholders to translate requirements into technical data solutions
What We’re Looking For
- Strong experience with SQL Server (T‑SQL, stored procedures, optimisation)
- Hands‑on expertise with Azure Data Factory (ADF) and SSIS
- Solid understanding of data warehousing and dimensional modelling
- Proven experience building ETL/data integration solutions
- Exposure to Power BI, Python, and PowerShell is highly desirable
- Financial services or insurance experience is desirable but not essential
- Excellent problem‑solving skills with a proactive, can‑do attitude
- Strong communication skills and ability to work closely with stakeholders
Why Join Us?
- Flexible hybrid working - only 1–2 days per month required in the Reading office
- Opportunity to work with modern Azure data technologies
- A collaborative, supportive team culture where your ideas are valued
- Clear pathways for career progression and development
- Competitive salary and benefits package including 10% bonus, private medical & generous pension
How to Apply
If you’re a Data Engineer or Data Analyst with strong SQL, ADF, and SSIS experience, we’d love to hear from you!
Equal Opportunities
We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, gender, age, disability, or other protected characteristics.
Data Engineer in Reading employer: Ignite Digital Talent
Contact Detail:
Ignite Digital Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines, Power BI dashboards, and any projects using Azure Data Factory. This gives potential employers a tangible look at what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data warehousing knowledge. Practice common interview questions and be ready to discuss how you've tackled data challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace Data Engineer in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL Server, Azure Data Factory, and SSIS. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
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 in data engineering aligns with our needs. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled challenges in data integration or ETL processes. We love seeing how you approach problems and find solutions!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Ignite Digital Talent
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server skills, especially T-SQL and stored procedures. Be ready to discuss how you've optimised queries in the past, as this will show your hands-on expertise and problem-solving abilities.
✨Showcase Your ETL Experience
Prepare to talk about your experience with Azure Data Factory and SSIS. Have specific examples ready where you've designed or maintained ETL pipelines, as this is a key part of the role and will demonstrate your practical knowledge.
✨Bring Data to Life with Power BI
If you've worked with Power BI, be ready to share how you've delivered insights through dashboards and reports. Discuss any projects where your visualisations made a significant impact on decision-making.
✨Communicate Like a Pro
Since collaboration with stakeholders is crucial, practice explaining technical concepts in simple terms. This will help you demonstrate your strong communication skills and ability to translate requirements into effective data solutions.
