At a Glance
- Tasks: Design and implement scalable data solutions in modern cloud environments.
- Company: Specialist data consultancy transforming enterprise-scale data platforms.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor junior engineers.
- Why this job: Lead innovative projects and shape data solutions that make a real impact.
- Qualifications: Hands-on experience with data platforms, SQL, and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
ESSENTIAL SKILLS
- Strong hands-on experience designing and building enterprise data platforms across cloud environments
- Proven delivery experience implementing data pipelines using Azure Data Factory, Databricks, or similar tooling
- Solid experience in SQL development, data modelling, and database design across structured and semi-structured datasets
- Ability to translate business requirements into scalable, production-ready data solutions
- Experience leading technical workstreams within client-facing delivery projects
- Comfortable engaging with stakeholders to shape technical solutions and architecture decisions
- Strong understanding of data warehousing concepts, ETL/ELT frameworks, and data governance principles
- Highly organised, delivery-focused, and accountable for quality and timelines within fast-paced consultancy environments
DESIRED SKILLS
- Experience working across multi-cloud platforms including Azure, AWS, or hybrid data environments
- Exposure to Databricks, Apache Spark, Azure Synapse, or similar distributed processing technologies
- Familiarity with systems integration and API development including REST-based services
- Experience supporting pre-sales activities including solution design input or technical demonstrations
- Understanding of information security, data protection, and enterprise compliance standards
- Exposure to BI tools such as Power BI, Tableau, or Qlik for downstream reporting enablement
- Previous experience mentoring junior engineers or supporting capability development
OVERVIEW
Our client is a specialist data consultancy delivering enterprise-scale data platform and analytics transformation programmes across multiple industries. They are seeking a Senior Data Engineering Consultant to design and implement scalable data solutions within modern cloud environments, supporting clients through full lifecycle delivery from architecture through to deployment. This role combines hands-on engineering with technical leadership responsibility, working directly with client stakeholders to shape solution design, implement robust data pipelines, and ensure high-quality delivery standards across complex data ecosystems. The Senior Consultant will contribute to project success through strong technical execution, structured delivery discipline, and collaborative engagement with both technical teams and business stakeholders.
Senior Data Engineering Consultant in London employer: PRIMA Partners
As a leading specialist data consultancy based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our hybrid working model allows for flexibility while engaging in impactful projects across various industries, providing opportunities to lead technical initiatives and mentor junior engineers. With a strong focus on innovation and collaboration, we empower our team to deliver high-quality data solutions that drive meaningful change for our clients.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineering Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Engineering Consultant role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data engineering. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your projects! Whether it’s through a portfolio or GitHub, let your work speak for itself. We want to see how you’ve tackled real-world problems and implemented data solutions, especially using tools like Azure Data Factory or Databricks.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineering Consultant in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your hands-on experience with data platforms and any relevant tools like Azure Data Factory or Databricks. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior Data Engineering Consultant role. Share specific examples of how you've translated business requirements into scalable data solutions, and don’t forget to mention your stakeholder engagement skills.
Showcase Your Projects:If you've worked on notable projects, make sure to include them in your application. Describe your role, the technologies you used, and the impact of your work. This helps us understand your hands-on experience and how you approach complex data challenges.
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 shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at PRIMA Partners
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Azure Data Factory and Databricks. Brush up on your SQL skills and be ready to discuss how you've designed and built data platforms in the past.
✨Showcase Your Project Experience
Prepare to talk about specific projects where you’ve implemented data pipelines or led technical workstreams. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Engage with Stakeholders
Demonstrate your ability to communicate effectively with stakeholders. Think of examples where you’ve translated business requirements into technical solutions and be ready to discuss how you shaped architecture decisions.
✨Be Organised and Delivery-Focused
Since this role is in a fast-paced consultancy environment, show that you can manage timelines and quality. Prepare to discuss how you stay organised and accountable in your work, especially when juggling multiple projects.
