At a Glance
- Tasks: Lead and deliver innovative data engineering projects using Databricks.
- Company: Join Kubrick, a next-gen tech consultancy shaping future leaders.
- Benefits: Competitive salary, professional development, and a supportive team culture.
- Why this job: Make an impact in tech while growing your skills in a dynamic environment.
- Qualifications: Experience with Databricks, Python, SQL, and strong leadership skills.
- Other info: Diverse and inclusive workplace committed to personal and professional growth.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Kubrick is a next-generation technology consultancy, designed to accelerate delivery and build amazing teams. We deliver services across data, AI, and cloud and we’re building the next generation of tech leaders. Since 2017, we have established a market leading position supporting our clients build their data and technology teams and deliver enduring solutions.
Kubrick Advanced is the delivery arm of Kubrick. It is a fast-growing team working across an array of practices tasked with delivering client projects and leading teams of Kubrick consultants. We are at the forefront of Kubrick’s growth and instrumental in developing services and solutions for our clients and technology partners. Kubrick Advanced offers opportunities for technical and commercial exposure across a wide range of industries and technical use cases. It is a tight knit team of motivated technology professionals where ongoing learning and development are central to our ethos and internal culture.
We are seeking a highly skilled and experienced Senior Manager Databricks Engineer to join our growing community specialising in Databricks. The successful applicant will have a strong background in training models to support a range of problem domains and be well versed in delivering and maintaining models in a production environment through applying MLOps best practice. The role will require familiarity with the relevant capabilities of Databricks and at least one of the major cloud service providers (AWS, Azure, or GCP). Advanced proficiency in Python and SQL is essential.
As a Senior Manager Databricks Engineer working in our Kubrick Advanced team, you will play a key role in delivering high-quality data engineering projects to our clients, often in collaboration with Databricks' professional services team. In addition to hands-on technical work, you will often play a leadership role in Kubrick’s delivery squads, providing technical guidance and ensuring best practices are followed throughout the project lifecycle. You will work closely with clients and internal stakeholders to translate business requirements into robust technical solutions, ensuring projects are delivered on time, within scope, and aligned with client expectations.
You will also support the growth and capability development of Kubrick Advanced, particularly with respect to our Databricks delivery capabilities. This will include assuming line management and/or technical leadership roles within the team.
Key Responsibilities- Lead technical delivery within Kubrick’s squads deployed on client project engagements, ensuring that Kubrick is known for the quality of the technical solutions it provides.
- Work with Kubrick & client staff of other disciplines to understand and assess requirements, design solutions and inform delivery planning.
- Seek, build, and maintain effective client relationships contributing to Kubrick’s commercial priorities and supporting our partnering approach to working with clients.
- Line managing developers within the team, supporting their professional and personal development.
- Promote a culture of engineering excellence within KA through curiosity, collaboration and contributions to the internal knowledge base.
- Participating in self-directed or group learning and upskilling (gaining Kubrick funded certifications) to ensure your technical skills stay up to date and industry relevant.
- Design and deliver a platform using the expected features of Databricks.
- Demonstrable practical experience of training and deploying ML models on Databricks (has ideally attained a Databricks ML Engineer certification).
- Ability to “pick the right tool for the job” when it comes to selecting the type of learning model and framework to apply to a given problem statement.
- Awareness of the cost implications of training, fine-tuning, testing and serving ML models.
- Strong communication skills.
- Ability to influence key technical and business decision makers.
- Experience in both delivery/technical leadership and line management.
- Experience mentoring junior technical personnel.
At Kubrick, we not only strive to bridge the skills-gap in data and next-generation technology, but we are also committed to playing a key role in improving diversity in the tech industry. To that effect, we welcome candidates from all backgrounds and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.
We know that potential applicants are sometimes put off if they don’t meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we’d love to hear from you.
We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.
Databricks Senior Manager in London employer: Kubrick
Contact Detail:
Kubrick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Senior Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Databricks or at Kubrick. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. Share links during interviews or on your LinkedIn profile to demonstrate your expertise in Python, SQL, and MLOps.
✨Tip Number 3
Prepare for the technical grill! Brush up on your Databricks knowledge and be ready to discuss how you've applied it in real-world scenarios. Practising common interview questions related to data engineering can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Databricks Senior Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Senior Manager role. Highlight your experience with Databricks, MLOps, and any relevant cloud services like AWS or Azure. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your leadership experience and how you can contribute to our team at Kubrick.
Showcase Your Technical Skills: Since this role requires advanced proficiency in Python and SQL, make sure to highlight specific projects where you've used these skills. We love seeing real-world examples of how you've tackled challenges using your technical expertise!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Kubrick
✨Know Your Databricks Inside Out
Make sure you’re well-versed in Databricks features and functionalities. Brush up on your experience with training and deploying ML models, as well as MLOps best practices. Being able to discuss specific projects where you've applied these skills will really impress the interviewers.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've managed technical delivery and mentored junior staff. Highlight your experience in fostering a culture of engineering excellence and collaboration within your teams.
✨Understand Client Needs
Be ready to discuss how you translate business requirements into technical solutions. Think of instances where you've worked closely with clients to assess their needs and design effective solutions. This shows that you can bridge the gap between technical and non-technical stakeholders.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and confidently, especially when discussing complex technical concepts. Remember, it’s not just about what you know, but how you convey that knowledge to others.