Senior Real-Time Data Platform Specialist

Senior Real-Time Data Platform Specialist

Full-Time 90000 - 100000 £ / year (est.) Home office (partial)
SSE Enterprise

At a Glance

  • Tasks: Shape real-time data platforms and drive critical decisions with AVEVA PI integration.
  • Company: Join a forward-thinking IT team in the vibrant Aberdeen area.
  • Benefits: Flexible benefits package and strong career development opportunities.
  • Other info: Dynamic work environment with opportunities for growth and learning.
  • Why this job: Make an impact by enabling timely access to trusted information across complex systems.
  • Qualifications: Experience in data platforms and a passion for innovative technology.

The predicted salary is between 90000 - 100000 £ per year.

SSE Senior Technical Specialist in Scotland, Aberdeen area, focuses on real-time data platforms and AVEVA PI integration to drive critical decisions.

You will shape data capture, modelling and insights across complex systems, enabling timely access to trusted information.

You’ll join a forward-thinking IT team, delivering reliable, scalable data platforms, with a flexible benefits package and strong career development opportunities.

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Senior Real-Time Data Platform Specialist employer: SSE Enterprise

SSE is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee wellbeing and growth. With flexible working options and a comprehensive benefits package, including performance-related bonuses and family entitlements, SSE empowers its employees to thrive while contributing to meaningful projects in the energy sector. Located in vibrant cities like Perth and Glasgow, employees enjoy a supportive environment that fosters collaboration and innovation, making it an ideal place for professionals seeking impactful careers.

SSE Enterprise

Contact Details:

SSE Enterprise Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Real-Time Data Platform Specialist

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We think you need these skills to ace Senior Real-Time Data Platform Specialist

Real-Time Data Platforms
AVEVA PI Integration
Data Capture
Data Modelling
Data Insights
Information Management
Scalable Data Solutions

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 SSE Enterprise, 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 SSE Enterprise. 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 SSE Enterprise

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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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 SSE Enterprise!

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.