At a Glance
- Tasks: Design and optimise enterprise-scale data platforms for impactful analytics and AI projects.
- Company: Join SCC, a leader in tech transformation with a dynamic and collaborative culture.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a forward-thinking team with excellent career advancement opportunities.
- Why this job: Make a real difference in data-driven decision-making across various industries.
- Qualifications: Experience in cloud technologies and data platform services is essential.
The predicted salary is between 63000 - 77000 £ per year.
Data Platform Engineer - London / Bracknell / Birmingham / Leeds / Manchester / Livingston - Hybrid - SCC Flex Contract
We are seeking an experienced Data Platform Engineer to support high-profile transformation and technology initiatives across a complex enterprise environment.
This is an exciting opportunity for a Data Platform Engineer to join a dynamic client programme, driving the design, implementation and optimisation of modern enterprise data platforms.
The successful Data Platform Engineer will play a key role in enabling data-driven decision-making by delivering scalable, secure and resilient data platform capabilities that support analytics, AI, business intelligence and digital transformation objectives across the organisation.
Your responsibilities as the Data Platform Engineer
- Design, build and maintain enterprise-scale data platforms that support business-critical workloads and data services.
- Develop and manage cloud-based and hybrid data platform environments across Azure, AWS and/or GCP.
- Implement and support data storage, processing and integration solutions including data lakes, data warehouses and lakehouse architectures.
- Configure, maintain and optimise platform infrastructure to ensure reliability, scalability, security and performance.
- Collaborate with data engineers, architects, developers, analysts and business stakeholders to deliver robust platform capabilities.
- Design and automate platform deployment, configuration and management processes using Infrastructure as Code (Ia C) and Dev Ops best practices.
- Support the implementation of modern data platform services including Databricks, Snowflake, Synapse Analytics, Redshift, Big Query and related technologies.
- Monitor platform health, performance and availability, proactively identifying opportunities for optimisation and improvement.
- Ensure all platform solutions comply with security, governance, regulatory and data management standards.
- Support data transformation programmes and cloud migration initiatives through the adoption of modern platform engineering practices.
- Troubleshoot complex platform issues and provide technical expertise to resolve incidents and minimise service disruption.
- Contribute to technical roadmaps, architecture reviews and strategic data platform initiatives.
- Provide technical leadership and best-practice guidance across platform engineering technologies, processes and methodologies.
As a successful Data Platform Engineer, you will have
- Proven experience working as a Data Platform Engineer, Platform Engineer or similar role within large-scale enterprise environments.
- Strong experience designing, implementing and supporting enterprise data platforms in cloud and hybrid environments.
- Expertise in cloud technologies including Microsoft Azure, AWS and/or Google Cloud Platform.
- Strong knowledge of data platform services such as Azure Synapse Analytics, Azure Data Lake, Databricks, Snowflake, Amazon Redshift, Big Query or equivalent technologies.
- Experience building and managing data lakes, lakehouse architectures, data warehouses and analytics platforms.
- Strong understanding of platform engineering principles, cloud infrastructure and distributed systems.
- Experience with Infrastructure as Code technologies such as Terraform, Bicep, ARM Templates or Cloud Formation.
- Knowledge of Dev Ops methodologies, CI/CD pipelines and automation tooling.
- Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
- Good understanding of data integration, ETL/ELT processes and data engineering concepts.
- Familiarity with scripting and automation using Python, Power Shell, Bash or similar languages.
- Strong understanding of security, governance, compliance and operational best practices within enterprise data environments.
- Excellent stakeholder management, communication and collaboration skills.
- Strong analytical, troubleshooting and problem-solving abilities.
- Experience delivering enterprise-scale technology solutions within complex and highly regulated environments.
- Relevant cloud, platform or data certifications are highly desirable.
NOTE
At SCC, we take the privacy and security of your information very seriously.
Any information we hold will be handled in accordance with current data protection legislation.
Upon submitting your application, SCC will process your information in line with our privacy policy, which can be found on our website under Legal Privacy Notice Flexible Resourcing.
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Data Platform Engineer employer: SCC
SCC is an exceptional employer, offering a dynamic work environment in London with a hybrid working model that promotes work-life balance. Employees benefit from a competitive salary package, extensive career development opportunities, and a strong commitment to diversity and inclusion, making it a rewarding place to grow your career in the IT sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SCC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Engineer at SCC.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SCC.
✨Apply Directly through Our Website
When you find a suitable opening like Data Platform Engineer at SCC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Platform Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SCC, 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 SCC. 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 SCC
✨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!
✨Showcase Your Projects
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 SCC!
✨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.
