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For Companies At a Glance
- Tasks: Build and maintain Azure data pipelines for analytics and reporting.
- Company: Dynamic SaaS business where data drives decisions.
- Benefits: Influence engineering and analytics without managing people.
- Why this job: Make a real impact on product and operational insights.
- Qualifications: Experience as a Data Engineer with Azure and ADF knowledge.
- Other info: Join a strong data team and shape how data is used.
The predicted salary is between 36000 - 60000 £ per year.
This is a proper Data Engineering role. Not someone hiding behind pipelines. Not a dashboard-only BI job. You’ll sit inside a strong data team and make sure what gets built is actually usable for analytics, reporting and decision-making — while being a technical sounding board for the analytics team.
What you’ll actually be doing:
- Building and maintaining Azure data pipelines that are built properly, not rushed
- Working hands-on with Azure Data Factory (ADF) for ingestion and orchestration
- Structuring data so it works for analytics and reporting, not just storage
- Partnering with Data Analysts to make sure they have the right data, models and structure to do their job properly
- Helping shape how reporting datasets and semantic layers are designed
- Supporting the analytics team from a data engineering perspective — improving how data is used, not just delivered
- Translating business questions into solid data solutions
- Working with engineers and analytics users to make sure reporting is built on good foundations
- Sense-checking data models feeding into Power BI
The kind of background that fits:
- Solid experience as a Data Engineer in a modern environment
- Hands-on with Azure in a data context
- Strong working knowledge of ADF
- Experience shaping data for analytics use cases
- Experience working closely with Analysts or BI teams
- Exposure to Power BI and understanding how data should be structured for reporting
- Comfortable guiding less technical users on how data should be used
- You think about outcomes, not just moving data from A to B
Why this role?
- SaaS business where data genuinely drives decisions
- Strong senior engineers already in place
- You’ll have influence on both engineering and analytics
- You’re not managing people, but your judgement will shape how data is used
- Real impact on product, commercial and operational insight
Senior Data Engineer in Manchester employer: Socium
Contact Detail:
Socium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure data pipelines and any projects you've worked on. This will give potential employers a taste of what you can do and how you think about data solutions.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Azure Data Factory and data structuring for analytics. Be ready to discuss how you've partnered with analysts and shaped data for reporting.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining our team. Make sure to highlight your experience with data engineering and how you think about outcomes in your application.
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Show Your Data Passion: When you’re writing your application, let your enthusiasm for data engineering shine through! We want to see how much you love building and maintaining data pipelines, especially in Azure. Share specific examples of projects you've worked on that highlight your skills.
Tailor Your Experience: Make sure to align your experience with the job description. We’re looking for solid experience in a modern data environment, so don’t be shy about showcasing your hands-on work with Azure Data Factory and how you’ve structured data for analytics.
Collaborative Spirit: We value teamwork here at StudySmarter, so highlight any experiences where you’ve partnered with analysts or BI teams. Show us how you’ve translated business questions into data solutions and improved data usage for reporting.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Socium
✨Know Your Data Engineering Fundamentals
Make sure you brush up on your core data engineering concepts, especially around Azure and ADF. Be ready to discuss how you've built and maintained data pipelines in the past, and be prepared to explain your thought process behind structuring data for analytics.
✨Showcase Your Collaboration Skills
This role involves working closely with Data Analysts and other teams. Think of examples where you've partnered with analysts to ensure they have the right data and models. Highlight your ability to translate business questions into actionable data solutions.
✨Prepare for Technical Questions
Expect some technical grilling! Brush up on your knowledge of Power BI and how data should be structured for reporting. Be ready to discuss specific challenges you've faced and how you overcame them, particularly in relation to data quality and usability.
✨Demonstrate Your Outcome-Focused Mindset
The company is looking for someone who thinks about outcomes, not just moving data. Prepare to discuss how your work has had a real impact on decision-making and product insights. Share examples that illustrate your focus on delivering usable data rather than just completing tasks.
