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 focus on high-quality advisory and transformation.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Opportunity to work with modern cloud platforms and lead engaging workshops.
- Why this job: Shape the future of data solutions and make a real impact in a client-facing role.
- Qualifications: 4+ years in data engineering with a relevant degree and strong technical skills.
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.
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 City of London employer: Agilesource Ltd
This well-established UK consulting firm offers an exceptional work environment for Senior Consultants in Data Engineering, with a strong focus on employee growth and development. The company fosters a collaborative culture that encourages innovation and provides access to cutting-edge cloud technologies, ensuring that team members can thrive in their careers while delivering impactful data solutions to clients. With a commitment to ongoing investment in its consulting capabilities, employees can expect meaningful opportunities for advancement and a supportive atmosphere that values their contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering - Senior Consultant in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving cloud-based data solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Ace the Interview
Prepare for interviews by practising common questions related to data engineering and cloud platforms. Be ready to discuss your past projects and how you’ve tackled challenges. Remember, confidence is key, so show them you know your stuff!
✨Apply Through Our Website
When you find a role that excites you, 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 team.
We think you need these skills to ace Data Engineering - Senior Consultant in City of London
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 in designing data solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our consulting firm’s goals. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of your hands-on experience with SQL, Python, and Azure services. If you've worked on data pipelines or governance strategies, make sure to highlight those achievements.
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 at StudySmarter!
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 data services and how they integrate with these platforms, as this will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and delivered data solutions that align with business objectives. Think about challenges you faced and how you overcame them, as this demonstrates your ability to balance best practices with client needs.
✨Engage with Stakeholders
Practice explaining complex data concepts in simple terms. You might be asked to lead a mock workshop or engage with hypothetical stakeholders, so being able to communicate effectively with non-technical audiences is key.
✨Demonstrate Your Engineering Discipline
Be ready to talk about your experience with Git, CI/CD, and release management via Azure DevOps. Highlight any projects where you’ve embedded strong engineering practices, as this shows you understand the importance of structured delivery in data engineering.
