At a Glance
- Tasks: Design and deliver cloud-based data solutions while advising clients on their data strategies.
- Company: Established UK consulting firm with a strong mid-market presence.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Opportunity to lead workshops and engage with stakeholders at all levels.
- Why this job: Shape the future of data solutions and make a real impact in client transformations.
- Qualifications: 4+ years in data engineering, strong academic background, and hands-on cloud platform experience.
The predicted salary is between 60000 - 80000 € per year.
We’re working with a well-established UK consulting firm with a strong presence in the mid-market, delivering high-quality advisory, transformation and data-led solutions. With a clear growth trajectory and ongoing investment in its consulting capability, it offers a great platform for individuals looking to build a long-term career in a client-facing, delivery-focused environment.
As a Senior Consultant within the Business Transformation team, you’ll design and deliver modern, cloud-based data solutions and advise clients on their current data landscape and maturity — shaping data strategies and future roadmaps.
- Facilitating requirements gathering workshops across business areas to agree objectives, use cases, and data needs.
- Supporting the development of data solutions aligned to business objectives, balancing best practice with client requirements.
- Providing guidance on data governance and strategy, including frameworks and policies to improve data maturity.
- Managing delivery across multiple workstreams/engagements, supporting junior team members and structured engineering practices.
- Designing, building and optimising end-to-end data pipelines (ingestion, transformation, orchestration) using SQL and Python.
- Embedding strong engineering disciplines: Git, CI/CD, release management via Azure DevOps.
- Strong academic record (ideally a relevant degree: computer science, software engineering, data engineering/analytics, information systems).
- ~4+ years’ experience delivering data engineering/data platform engagements (ideally in professional services/consulting).
- Hands-on experience with modern cloud data platforms, including Microsoft Fabric and Azure Databricks.
- Strong understanding of Azure data services and integration systems (e.g. Azure Data Factory, Azure Data Lake) and how they complement Fabric/Databricks.
- Experience implementing platform security practices (secure connectivity, secrets management, RBAC concepts) aligned to client policies.
- Experience implementing data quality controls and validation checks, plus producing clear documentation for traceability and handover.
- Confident leading workshops and engaging stakeholders at all levels — able to explain complex ideas to non-technical audiences.
- London-based or willing to travel to London fortnightly.
- Proposal writing/business development experience (bids and client presentations).
- Azure Data Engineer/Fabric Data Engineer/Analytics Engineer/Databricks fundamentals.
Fortnightly travel to London required.
Data Engineering - Senior Consultant in London employer: Agilesource Ltd
This well-established UK consulting firm is an excellent employer, offering a dynamic work culture that prioritises employee growth and development. With a strong focus on delivering high-quality data-led solutions, employees benefit from ongoing investment in their skills and career progression, all while working in a collaborative environment that values innovation and client engagement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering - Senior Consultant in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience with SQL, Python, and cloud data solutions.
✨Tip Number 3
Showcase your skills through a portfolio! Create a GitHub repository with projects that highlight your expertise in building data pipelines and using Azure services. This gives potential employers a tangible way to see what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineering - Senior Consultant in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering projects, especially those involving cloud platforms like Azure, to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how your background aligns with our consulting approach. Share specific examples of your work that demonstrate your ability to deliver data-led solutions.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with SQL, Python, and Azure services. We want to see how you’ve designed and optimised data pipelines, so include relevant details that showcase your technical prowess.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Agilesource Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends and technologies, especially those mentioned in the job description like Azure Data Factory and Databricks. Brush up on your SQL and Python skills, as you might be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Consulting Skills
Since this role is client-facing, prepare examples of how you've successfully engaged with stakeholders in the past. Think about times when you led workshops or explained complex data concepts to non-technical audiences. This will show that you can bridge the gap between technical and business needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Be ready to discuss how you would approach designing a cloud-based data solution or managing multiple workstreams. Use the STAR method (Situation, Task, Action, Result) to structure your answers effectively.
✨Demonstrate Your Team Spirit
As a Senior Consultant, you'll be supporting junior team members and collaborating across various engagements. Share experiences where you’ve mentored others or contributed to a team’s success. Highlighting your ability to work well in a team will resonate with the firm’s focus on delivery and collaboration.
