At a Glance
- Tasks: Design and deliver cloud-based data solutions while advising clients on data strategies.
- Company: Established UK consulting firm with a strong mid-market presence.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Dynamic role with opportunities for travel and professional development.
- Why this job: Shape the future of data strategies and make a real impact in client engagements.
- Qualifications: 4+ years in data engineering and a relevant degree.
The predicted salary is between 60000 - 80000 € per year.
About the Company
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.
About the Role
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.
Responsibilities
- 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
- Contributing to pre-sales through proposal support, solution shaping and client-facing materials
Qualifications
- 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)
Required Skills
- 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
- Practical experience with Spark / PySpark (desirable but strong Spark experience counts)
- 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
Preferred Skills
- Proposal writing / business development experience (bids and client presentations)
- Certifications: Azure Data Engineer / Fabric Data Engineer / Analytics Engineer / Databricks fundamentals
Fortnightly travel to London required.
Data Engineering - Senior Consultant in Slough 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 the opportunity to work on impactful projects in a client-facing environment. The firm's commitment to innovation and collaboration makes it an attractive place for professionals seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering - Senior Consultant in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage, the better your chances of landing that Senior Consultant role.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your hands-on experience with cloud data platforms and how you've tackled data engineering challenges. Let them see the real you!
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to their specific needs. Research their projects and think about how your skills can help them achieve their goals. It shows you’re genuinely interested!
✨Apply Through Us!
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and we’re here to support you every step of the way. Let’s get you that dream job together!
We think you need these skills to ace Data Engineering - Senior Consultant in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Consultant. Highlight your experience with data engineering and cloud platforms like Azure, and don’t forget to showcase any relevant projects that demonstrate your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how your background aligns with our consulting firm’s goals. Keep it engaging and personal!
Showcase Your Technical Skills:We want to see your hands-on experience! Be specific about the tools and technologies you’ve used, especially SQL, Python, and Azure services. Mention any projects where you’ve designed or optimised data pipelines.
Apply Through Our Website:Don’t forget to apply 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 you’re keen on joining our team!
How to prepare for a job interview at Agilesource Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest cloud data platforms, especially Microsoft Fabric and Azure Databricks. Brush up on your knowledge of Azure services like Data Factory and Data Lake, as you’ll likely be asked to discuss how these tools fit into a data strategy.
✨Showcase Your Engineering Skills
Be prepared to talk about your hands-on experience with SQL and Python, especially in building and optimising data pipelines. Have examples ready that demonstrate your ability to implement engineering best practices, such as Git and CI/CD, as these are crucial for the role.
✨Engage Stakeholders Effectively
Since this role involves leading workshops and engaging with various stakeholders, practice explaining complex data concepts in simple terms. Think of scenarios where you’ve successfully communicated technical ideas to non-technical audiences and be ready to share those experiences.
✨Prepare for Proposal Discussions
If you have experience in proposal writing or business development, highlight it! Be ready to discuss how you’ve contributed to pre-sales activities or shaped solutions in previous roles. This will show your potential employer that you can add value beyond just technical skills.
