At a Glance
- Tasks: Design and build modern data platforms using Microsoft Fabric and cloud technologies.
- Company: Dynamic tech company with a growing data team and collaborative culture.
- Benefits: Competitive salary up to £85,000, flexible remote work, and career growth opportunities.
- Other info: Join a small, scaling team with high ownership and autonomy.
- Why this job: Shape innovative data solutions and work on exciting projects across various industries.
- Qualifications: Strong data engineering experience, Python skills, and cloud environment familiarity.
The predicted salary is between 65000 - 85000 € per year.
This is a hands-on senior data engineering role focused on building modern data platforms from scratch using Microsoft Fabric and cloud technologies. You’ll be joining a growing data team working across a range of client projects, helping organisations move from underutilised data to scalable, insight-driven platforms. The work is varied and delivery-focused, typically across 8–12 week projects covering discovery, proof of concept, and full implementation. This isn’t a role where you’ll be maintaining legacy systems — you’ll be designing and building solutions, shaping technical direction, and working closely with stakeholders to solve real business problems.
What You’ll Be Doing
- Designing and building data platforms from the ground up using Fabric and cloud technologies
- Developing Python-based data pipelines and integrating multiple data sources
- Working across the full lifecycle: discovery → POC → delivery
- Supporting data science and predictive modelling use cases
- Engaging directly with stakeholders to understand requirements and shape solutions
What They’re Looking For
- Strong experience in data engineering with hands-on delivery
- Solid Python skills for building data pipelines
- Experience working in cloud environments (Azure, Fabric, AWS, etc.)
- Experience building or contributing to greenfield data platforms
- Comfortable working with stakeholders and translating business needs into technical solutions
- Someone who enjoys taking ownership and contributing ideas, not just delivering tasks
The Environment
- Small, growing data team (currently ~15, scaling to ~35)
- High ownership and autonomy — real opportunity to influence direction
- Collaborative culture with a strong focus on solving problems properly
- Varied project work across sectors including social housing and insurance
Why This Role
- Greenfield builds — not maintenance work
- Opportunity to shape how data solutions are designed and delivered
- Work across multiple projects and industries
- Strong balance of hands-on engineering and influence
- Clear growth trajectory within a scaling team
Salary for this role is going up to £85,000 + Benefits, they’re based in the centre of London with people coming into the office 2 days a week. Apply now to be considered!
Senior Data Engineer employer: Corecom Consulting
Join a dynamic and innovative data team in the heart of London, where you'll have the opportunity to build cutting-edge data platforms from scratch using Microsoft Fabric and cloud technologies. With a strong emphasis on collaboration and problem-solving, this role offers high ownership and autonomy, allowing you to shape technical direction while working on varied projects across multiple sectors. Enjoy a clear growth trajectory within a scaling team, alongside a competitive salary and benefits package, making this an excellent employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Microsoft Fabric or cloud technologies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and cloud platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled real business problems and engaged with stakeholders in past projects. We want to see your problem-solving prowess!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our growing data team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your hands-on experience with data engineering, Python, and cloud technologies like Microsoft Fabric. We want to see how you can contribute to our growing data team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about building modern data platforms and how your previous projects align with what we do at StudySmarter. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, especially greenfield builds, make sure to mention them. Describe your role, the technologies you used, and the impact of your work. This will help us understand your hands-on delivery experience and how you approach problem-solving.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Corecom Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Fabric and cloud technologies. Brush up on your Python skills, especially around building data pipelines. Be ready to discuss specific projects where you've designed and built data platforms from scratch.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've engaged with stakeholders to understand their requirements and translate them into technical solutions. Highlight instances where you've taken ownership of a project and contributed innovative ideas.
✨Understand the Project Lifecycle
Familiarise yourself with the full lifecycle of data projects, from discovery to proof of concept and delivery. Be prepared to discuss how you’ve navigated these stages in past roles and what challenges you faced.
✨Emphasise Collaboration
Since this role involves working closely with a small, growing team, be ready to talk about your experience in collaborative environments. Share how you’ve worked with others to solve complex problems and how you can contribute to a positive team culture.
