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- 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
Lead Data Engineer in Manchester employer: Socium
Contact Detail:
Socium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead 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 hunt for a Lead Data Engineer role. 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 work with Azure Data Factory and any data pipelines you've built. 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 data structuring for analytics and reporting. Be ready to discuss how you've partnered with analysts in the past to ensure they have the right data at their fingertips.
✨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 ADF and your ability to translate business questions into solid data solutions in your application.
We think you need these skills to ace Lead Data Engineer in Manchester
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your hands-on experience with Azure and ADF in your application. We want to see how you've built and maintained data pipelines, so don’t hold back on the details!
Focus on Collaboration: Emphasise your experience working with Data Analysts and BI teams. We love candidates who can translate business questions into solid data solutions, so share examples of how you've partnered with others to achieve this.
Think About Outcomes: We’re looking for someone who thinks beyond just moving data from A to B. In your application, explain how you’ve structured data for analytics and reporting, and the impact it had on decision-making.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
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 when 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.
✨Demonstrate Your Problem-Solving Approach
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. This could include issues with data quality or structuring datasets for reporting. Show that you think about outcomes and not just moving data from A to B.
✨Familiarise Yourself with Power BI
Since this role involves sense-checking data models feeding into Power BI, make sure you understand how data should be structured for effective reporting. If you have experience with Power BI, be ready to share how you've used it to drive insights.