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For Companies At a Glance
- Tasks: Transform data architecture and build a modern cloud-native data platform.
- Company: A respected family-run business on an exciting data transformation journey.
- Benefits: Hybrid work, autonomy, and the chance to make a visible impact.
- Why this job: Shape the future of data and drive growth with cutting-edge technologies.
- Qualifications: 5+ years in Data Engineering with Azure and Databricks experience.
- Other info: Join a values-led organisation that genuinely values its people.
The predicted salary is between 36000 - 60000 £ per year.
Hybrid: 3 days office / 2 days home - fortnightly travel to Scotland (can be expensed)
Transform a Greenfield Vision into Reality. Join a long-established, highly respected family-run business on a major data transformation journey. These are true Greenfield roles, giving you the platform to shape architecture, define standards, and build modern, scalable Data Engineering foundations from day one. If you’re passionate about using data to unlock business value, drive growth, and leverage cutting‑edge Azure & Databricks investments, this is your opportunity to make a huge impact.
What You’ll Do
- You’ll play a hands‑on, strategic role building a modern cloud‑native data platform:
- Deliver clean, robust Bronze/Silver/Gold layers using Delta Lake
- Create data warehouse assets (star schemas, data marts) using Synapse / Databricks SQL
- Implement scalable orchestration with ADF or Synapse Pipelines, including SLAs & alerting
- Drive performance & cost optimisation across compute & storage
- Establish CI/CD best practices with Azure DevOps
- Champion security, governance & quality throughout the data lifecycle
- Introduce & evolve streaming where appropriate
- Mentor engineers, shape architecture, and influence the roadmap
- Collaborate closely with BI/Analytics to ensure seamless delivery into Power BI models
Tech You’ll Work With
- Languages: Python, SQL
- Future‑facing: Microsoft Fabric
What We’re Looking For
- 5+ years in Data Engineering with Azure + Databricks at scale
- Experience running production pipelines in Delta Lake
- CI/CD for data workloads
- Strong communicator able to bridge technical and business needs
Nice to Have
- Mentoring experience
- Power BI Experience
- Microsoft Fabric
Why Join?
Be part of a stable, values‑led, credible organisation investing heavily in data. You’ll gain autonomy, make visible impact quickly, and help design the blueprint for a truly data‑driven future. CVs are being reviewed as a priority — apply now and shape the future of data for a business that genuinely values its people.
Senior Data Engineer in Altrincham employer: Primus Connect
Contact Detail:
Primus Connect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Altrincham
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through projects! If you’ve worked on any relevant data engineering projects, make sure to discuss them during interviews. We love seeing real-world applications of your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen quickly. Plus, we’re prioritising CV reviews, so get your application in and let’s shape the future of data together!
We think you need these skills to ace Senior Data Engineer in Altrincham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects that showcase your ability to build modern data platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our data transformation journey. Be specific about your achievements and how they relate to the job description.
Showcase Your Communication Skills: As a Senior Data Engineer, you'll need to bridge technical and business needs. In your application, demonstrate your ability to communicate complex ideas clearly and effectively, both in writing and through examples of past collaborations.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to review your application and see how you can fit into our team!
How to prepare for a job interview at Primus Connect
✨Know Your Data Engineering Stuff
Make sure you brush up on your Azure and Databricks knowledge. Be ready to discuss your experience with Delta Lake, CI/CD practices, and how you've optimised data pipelines in the past. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Communication Skills
Since this role requires bridging technical and business needs, practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully communicated with non-technical stakeholders or mentored junior engineers. This will show you can collaborate effectively.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems they might face. For instance, how would you implement a scalable orchestration solution? Think through your approach to building data warehouse assets and be ready to share your thought process.
✨Demonstrate Your Passion for Data
They’re looking for someone who’s genuinely excited about using data to drive growth. Share your thoughts on the future of data engineering, any personal projects you’ve worked on, or how you stay updated with industry trends. This will help you stand out as a candidate who truly cares.
