Data Engineer

Data Engineer

Perth Full-Time 35200 - 52800 £ / year (est.) No home office possible
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SSE PLC

At a Glance

  • Tasks: Shape the future of data at SSE by developing and optimising Azure data solutions.
  • Company: Join SSE, a leading energy company committed to a net-zero world.
  • Benefits: Enjoy competitive salary, flexible working, and wellness perks like free online GP access.
  • Other info: Be part of an inclusive workplace that values diverse backgrounds and perspectives.
  • Why this job: Make a real impact in a dynamic role that empowers data-driven decisions.
  • Qualifications: Experience with Azure, Databricks, and strong communication skills are essential.

The predicted salary is between 35200 - 52800 £ per year.

Base Location: Reading, Havant, Glasgow and Perth

Salary: £35,200 - £52,800 + performance-related bonus and a range of benefits to support your finances, wellbeing and family.

Working Pattern: Permanent | Full Time | Flexible First options available

The Role

As a Data Engineer, you have the incredible opportunity to shape the future of SSEN Distribution's data ecosystem by developing, operating, and optimising Microsoft Azure data integration solutions. Your work in delivering robust data pipelines ensures that curated data is readily available for those who rely on it, empowering business analysts, data scientists, and reporting specialists with easy access to organisational data.

  • Develop and enhance data integration solutions using Azure, Databricks, and the existing data engineering framework.
  • Design and build high-frequency, high-volume streaming data pipelines, including support for LLM/AI solutions.
  • Drive operational improvements by streamlining reusable assets and accelerating development cycles.
  • Ensure CI/CD best practices and change control processes are followed from development to production.
  • Collaborate on architecture design and integration with various source and target systems to mature platform capabilities.

You have

  • Extensive experience with the Microsoft Azure Platform, Databricks, and Machine Learning will be a plus.
  • Excellent communications & stakeholder management skills – the ability to drive value via end-to-end ownership of business use cases related problems.
  • Experience with high-frequency high-volume signal data (or comparable datasets), event hub, anomaly detection – proven use case examples in this area.
  • Data engineering experience via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats & structures.
  • A strong background in delivering using cloud-based Microsoft Azure Data and Analytics capabilities, Microsoft DevOps and Agile delivery.

About SSE

SSE has a bold ambition – to be a leading energy company in a net‑zero world. We're investing around £10 million a day in homegrown energy to help power a cleaner, more secure future. Our investment will see us build the world's largest offshore wind farm and transform the grid to deliver greener electricity to millions. Our IT division powers growth across all SSE business areas by making sure we have the systems, software and security needed to take the lead in a low‑carbon world. They provide expertise, advice and day‑to‑day support in emerging technologies, data and analytics, cyber security and more.

Flexible Benefits To Fit Your Life

  • Enjoy discounts on private healthcare and gym memberships.
  • Wellbeing benefits like a free online GP and 24/7 counselling service.
  • Interest‑free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme.
  • Generous family entitlements such as maternity and adoption pay, and paternity leave.

Work with an equal opportunity employer

SSE will make any reasonable adjustments you need to ensure that your application and experience with us is positive. We are dedicated to fostering an open and inclusive workplace where people from all backgrounds can thrive. We create equal opportunities for everyone to succeed and especially welcome applications from those who may not be well represented in our workforce or industry.

Ready to apply? Start your online application using the Apply Now box on this page. We only accept applications made online. We'll be in touch after the closing date to let you know if we'll be taking your application further. If you're offered a role with SSE, you'll need to complete a criminality check and a credit check before you start work.

Data Engineer employer: SSE PLC

SSE plc is an exceptional employer, offering a dynamic work environment where Data Engineers can thrive while contributing to a sustainable future. With a strong focus on employee wellbeing, flexible working options, and generous benefits, including discounts on healthcare and family entitlements, SSE fosters a culture of inclusivity and growth. Join us in Reading, Havant, Glasgow, or Perth, and be part of a team that empowers you to innovate and excel in the rapidly evolving energy sector.
SSE PLC

Contact Detail:

SSE PLC Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current or former employees at SSE on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.

✨Tip Number 2

Prepare for the interview by brushing up on Azure and data engineering concepts. We recommend creating a mini-project to showcase your skills. It’s a great way to demonstrate your hands-on experience during the interview!

✨Tip Number 3

Don’t forget to highlight your communication skills! As a Data Engineer, you’ll need to collaborate with various teams. Share examples of how you’ve successfully worked with stakeholders in the past.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining SSE and ready to contribute to their mission of a net-zero world.

We think you need these skills to ace Data Engineer

Microsoft Azure
Databricks
Machine Learning
Data Integration Solutions
Data Pipelines
CI/CD Best Practices
Stakeholder Management
Data Preparation
Data Transformation
Cloud-based Data and Analytics
Microsoft DevOps
Agile Delivery
Anomaly Detection
High-frequency High-volume Data Processing

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft Azure, Databricks, and any relevant data engineering projects. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at SSE. Keep it concise but impactful – we love a good story!

Showcase Your Projects: If you've worked on any cool data integration solutions or high-frequency data pipelines, make sure to mention them! We’re keen to see real examples of your work that demonstrate your expertise and creativity.

Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised – win-win!

How to prepare for a job interview at SSE PLC

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of Microsoft Azure, Databricks, and any relevant data engineering frameworks. Be ready to discuss specific projects where you've developed or optimised data integration solutions, as this will show your hands-on experience.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled high-frequency, high-volume data challenges in the past. Discuss your approach to anomaly detection and how you've used event hubs or similar technologies to drive operational improvements.

✨Communicate Clearly and Confidently

Since excellent communication is key for this role, practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas effectively to stakeholders who may not have a technical background.

✨Emphasise Your Agile Experience

Be ready to talk about your experience with Agile methodologies and CI/CD best practices. Highlight how you've contributed to development cycles and ensured smooth transitions from development to production, as this aligns with SSE's operational goals.

Data Engineer
SSE PLC
Location: Perth
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