At a Glance
- Tasks: Drive cloud data migration and build automated data solutions for healthcare.
- Company: Join a leading tech firm focused on innovative cloud data platforms.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: SC Clearance required; dynamic environment with excellent career advancement.
- Why this job: Make a real impact in healthcare by modernising critical data systems.
- Qualifications: 5+ years in Data Engineering with skills in Python, SQL, and AWS.
Location – Hybrid Leeds or London 3 days.
Drive a major cloud data modernisation programme, migrating legacy Databricks pipelines and workloads to a modern AWS infrastructure. Working closely with Architects and stakeholders, you will build automated, large-scale data solutions to secure and transform critical healthcare data assets. Requirement: (SC Clearance or eligibility is mandatory).
Key Responsibilities- Data Engineering & Migration
- Support migration of data pipelines, notebooks, and data processing workloads between cloud environments.
- Analyse existing data engineering solutions and identify migration requirements.
- Develop and maintain data processing pipelines using modern cloud data platform technologies.
- Support testing, validation, and reconciliation of migrated datasets.
- Work with structured and semi-structured data stored in cloud environments.
- Troubleshoot and resolve data processing issues across development, test, and production environments.
- Cloud Data Platform Engineering
- Support the operation and enhancement of cloud-based data platforms.
- Assist with onboarding datasets, users, and workloads onto target platforms.
- Collaborate with platform and architecture teams to implement scalable data solutions.
- Support platform optimisation, monitoring, and operational readiness activities.
- Infrastructure as Code
- Develop and maintain Terraform code supporting data platform deployments.
- Support deployment of data platform components, jobs, permissions, and environment configurations.
- Assist with automation of deployment and release processes.
- Maintain infrastructure consistency across environments.
- Platform Modernisation
- Support cloud migration initiatives and platform transformation programmes.
- Contribute to platform standards, engineering practices, and reusable deployment patterns.
- Produce technical documentation and implementation guides.
- Data Engineering
- Python
- PySpark
- SQL
- Data Pipeline Development
- ETL / ELT Design
- Data Modelling fundamentals
- Data Quality and Validation
- Cloud Platforms
- AWS
- S3
- IAM
- Cloud-based Data Platforms
- Infrastructure as Code
- Terraform
- Infrastructure Automation
- Git
- Engineering Practices
- CI/CD concepts
- Agile Delivery
- DevOps principles
- Databricks
- Palantir Foundry
- Foundry Pipeline Builder
- Ontology concepts
- Delta Lake
- Healthcare or NHS data experience
- Secure Data Environment (SDE) experience
- Cloud migration programmes
- 5+ years of Data Engineering experience.
- Experience delivering cloud-based data platforms.
- Experience supporting migration of data workloads between environments.
- Experience working with Infrastructure as Code using Terraform.
- Experience working within regulated or enterprise-scale environments.
Type – Hybrid Leeds or London – 3 days a week £70,000 to £80,000 ++ depending on experience. Candidates must be SC Clearance or have SC eligibility is mandatory. SC eligibility - Security Check (SC) clearance in the UK, candidates cannot apply independently; the process must be sponsored by an employer or government department. You must be a UK citizen or have the right to work in the UK and have resided in the UK for at least 5 years.
Data Platform Engineer – Cloud in Leeds employer: Velocity Talent
Join a forward-thinking organisation that prioritises innovation and employee development, offering a hybrid work model in the vibrant cities of Leeds or London. As a Senior Data Platform Engineer, you will be part of a transformative cloud data modernisation programme, with opportunities for professional growth and collaboration with industry experts. Enjoy a supportive work culture that values your contributions while working on critical healthcare data projects that make a real difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer – Cloud in Leeds
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Platform Engineer – Cloud in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Velocity Talent, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Velocity Talent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Velocity Talent
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Velocity Talent!
✨Prepare for Case Studies
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.
