Databricks Specialist

Tower, Greater London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Platform Engineer | Remote | £85k + 4 day week

Lead Data Platform Engineer | Remote | £85k + 4 day week

Data Engineering Specialist

Microsoft Data Solution Architect

Data Scientist - Renewable Energy

Senior Data Engineer - (Python & SQL)

Databricks Specialist

£95K- £110K + Package
Hybrid - London
An excellent opportunity has arisen with a global gaming company for a Databricks Specialist, you'll play a vital role in owning the Databricks strategy and how they use it to innovate across their industry-leading brands. Designing and developing robust data frameworks, powering real-time data pipelines, and creating data services that deliver actionable insights to their global customer base.

Role and Responsibilities:

Strategy Development: Create and own a Databricks strategy for the group, ensuring alignment with business goals
Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as the architect across the Data Engineering, Data Analytics, and Data Science teams.
Collaboration Enablement: Bridge the gap between teams by setting up templates and frameworks for seamless collaboration, data sharing, and enablement aligned with the product vision.
Unity Catalogue Management: Manage Unity catalogue, including permissions, usage, paths, locations, and implementation, ensuring data accessibility, security, and reliability.
Guidance and Training: Provide guidance, support, and training to teams regarding Databricks usage, offering best practices, monitoring, and cost management/optimization strategies.
Platform Monitoring: Monitor usage of the Databricks platform to inform decisions on deprecation, resource allocation, and cost control.
Essential Skills and Experience:

Terraform Expertise: Skilled in IaC with Terraform, including scripting, state management, and module design.
Cloud Experience: Hands-on with Azure, AWS, or GCP in deploying and managing cloud infrastructure and data services.
DataOps Knowledge: Experienced with CI/CD for data workflows, version control (e.g., Git), and automation in data engineering.
Desirable:

Experience with Apache Spark
Familiarity with machine learning frameworks and libraries
Understanding of data governance and compliance
Strong problem-solving and analytical skills
Excellent communication and interpersonal skills
Package:

Up to £110K basic salary
Hybrid working: 4 days onsite London
Learning and development programmes
Vitality Health Care
Unum Dental
Life Assurance & Income Protection
Car scheme
Cycle to Work
Retail discounts

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.