At a Glance
- Tasks: Lead enterprise-scale data transformation programmes using Databricks and Azure.
- Company: Leading technology consultancy with a focus on innovation.
- Benefits: Up to £100,000 salary, bonus, and excellent benefits.
- Other info: Hybrid work model with opportunities for career advancement.
- Why this job: Make a real impact by delivering high-quality data solutions for major clients.
- Qualifications: Proven consulting experience and hands-on delivery of Databricks projects.
The predicted salary is between 100000 - 100000 £ per year.
We're partnering with a leading technology consultancy looking to hire an experienced Databricks Delivery Manager to lead the successful delivery of enterprise-scale data transformation programmes. You'll work with major clients, managing cross-functional delivery teams across Azure and Databricks projects, ensuring high-quality outcomes from inception through to go-live.
We're looking for:
- Proven consulting experience (essential)
- Hands-on delivery of enterprise Databricks projects (essential)
- Strong programme/project delivery and stakeholder management experience
- Pre-sales experience is highly desirable
- Experience leading cross-functional Data & Cloud teams
- Knowledge of Azure Data Platform, Agile delivery and modern data architectures
Location: London (2 days per week)
Salary: Up to £100,000 + Bonus + Excellent Benefits
If you've successfully delivered real-world Databricks programmes within a consulting environment and are looking for your next challenge, we'd love to hear from you.
Delivery Lead- Databricks in London employer: TekSelect
At TekSelect, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture in the heart of London. Our team enjoys competitive salaries, comprehensive training programmes, and clear pathways for career advancement, making it an ideal environment for professionals looking to grow their expertise in API-led solutions. Join us to work on exciting projects with major clients while enjoying the flexibility of a hybrid working model.
