At a Glance
- Tasks: Design and develop scalable analytics platforms for high-impact projects.
- Company: Specialist consultancy focused on digital transformation in the public sector.
- Benefits: Competitive salary, hybrid working, generous leave, and training budget.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Join a dynamic team tackling complex challenges with cutting-edge technologies.
- Qualifications: Strong Python, Kubernetes, and Docker skills required.
The predicted salary is between 70000 - 90000 £ per year.
Due to the nature of the role, an active UK*C DV Clearance is required for eligibility.
The Opportunity
I'm currently working with a specialist consultancy focused on digital transformation and technical delivery within the public sector, who are looking to hire both Senior or Principal Analytics Platform Engineers to join their growing team. This is an exciting opportunity to work on high-impact projects involving cloud migration, data management and the development of robust analytics platforms supporting mission-critical solutions. You'll play a key role in designing, building, testing and evolving scalable analytics hosting platforms, while also providing hands-on engineering support to Data Scientists and MLOps teams. The role offers plenty of variety, with the opportunity to work across a broad range of technologies and tackle complex technical challenges. You'll need to be comfortable operating in environments where requirements can change and where you may need to work with unfamiliar technologies to find practical, reliable solutions. If you're an experienced engineer with strong Python, Kubernetes and Docker skills who enjoys solving complex problems and working at the intersection of data, analytics and platform engineering, this could be an excellent next step.
Key Responsibilities
- Design, develop, test and deploy scalable analytics hosting platforms.
- Build secure and robust systems supporting mission-critical analytics solutions.
- Work across the full software development lifecycle, from design through to deployment and ongoing enhancement.
- Work on high-impact projects focused on cloud migration and data management.
- Develop and enhance platform capabilities to support evolving analytics requirements.
- Troubleshoot and resolve issues across existing analytics services.
- Deliver bug fixes and feature enhancements for mission-facing analytics platforms.
- Provide hands-on engineering support to Data Scientists and MLOps teams.
- Work across a varied technology landscape, adapting to unfamiliar technologies where required.
- Contribute to the design and implementation of reliable, scalable and secure technical solutions.
- Work collaboratively with technical teams to understand requirements and deliver effective engineering solutions.
- Help ensure analytics platforms remain robust, maintainable and fit for purpose.
Essential Skills and Experience
- Strong Python development experience.
- Experience working with Kubernetes.
- Strong experience with Docker and containerised environments.
- Understanding of CI/CD principles and experience with GitLab pipelines.
- Strong problem-solving skills and a practical engineering mindset.
- Experience designing and building scalable, secure technical solutions.
- Ability to work effectively across a varied and sometimes unfamiliar technology environment.
- Strong communication and collaboration skills.
- Ability to work effectively with technical teams including Data Scientists and MLOps Engineers.
Desirable Skills
- Experience working with Data Science and/or MLOps environments.
- Experience with Apache Spark.
- Experience with Scala.
- Experience working with S3 and cloud storage technologies.
- Experience with graph databases.
- Experience with Elasticsearch.
- Experience with vector databases / vector stores.
- Knowledge of OIDC / OAuth.
- Experience with NodeJS.
- Experience with React.
- Previous experience working on cloud migration or data management projects.
Package and Benefits
- Salary of £70,000 - £90,000 DOE.
- Personal and company bonus scheme.
- Business development commission.
- Hybrid and flexible working arrangements.
- Life Assurance.
- Private Medical Insurance.
- 28 days annual leave, plus the option to buy up to an additional.
- Generous pension contributions.
- Access to a personal financial advisor.
- Car scheme.
- Central Cheltenham offices with parking and flexible working spaces.
- Generous annual training budget and ongoing development opportunities.
- Collaborative team environment with regular social events.
- Enhanced long-service benefits, including additional holiday, increased pension contributions, retention bonuses and charitable contributions.
- Opportunity to work on high-impact digital transformation projects.
Analytics Platform Engineer in London employer: Oscar Associates (UK) Limited
Join a dynamic software company in Leicester that prioritises innovation and practical AI solutions, making it an exceptional employer for those passionate about AI development. With a flexible hybrid working model, a commitment to employee growth through dedicated investment in engineering innovation, and a modern tech stack, this role offers a unique opportunity to advance your career in a collaborative environment. You'll be part of a talented team, working on impactful projects that deliver real value to customers.
Contact Details:
Oscar Associates (UK) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Platform Engineer in London
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We think you need these skills to ace Analytics Platform Engineer in London
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
