At a Glance
- Tasks: Design and optimise data pipelines for our Data Scientists and Traders.
- Company: Join SSE, a leading energy company committed to a sustainable future.
- Benefits: Enjoy 34 days annual leave, enhanced family leave, and discounted healthcare.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Make a real impact in the net zero transition while working with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and data engineering is essential.
The predicted salary is between 42600 - 64000 £ per year.
SSE has big ambitions to be a leading energy company in a low carbon world. Following our commitment to invest £20.5 billion in low carbon projects to 2027, we have significant growth plans and are well on our way to achieving our ambition to build a world that is more sustainable and inclusive for you, your family, the community you live in and for generations to come. We are proud to be playing a crucial role in the net zero transition, ensuring we have the energy supplies required to meet the needs of our customers; procuring the fuel required by the generation plants and selling the power output from our renewable and low‑carbon thermal assets.
Base Location: Flexible – Glasgow, Edinburgh, Perth, Reading
Salary: £42,600 – £64,000 + performance‑related bonus + a range of benefits to support your finances, wellbeing and family.
Working Pattern: Permanent | Full Time | Flexible, First options available
As the Senior Data Engineer within Energy Markets you will be responsible for designing, building, managing, and optimizing data pipelines and the data model used by our Data Scientists and Traders. Working closely with Data Management teams on governance and security as well as business stakeholders around projects and IT teams to deliver these data pipelines and models effectively into production. This role will focus on Python development on the Databricks and Streamlit platforms to deliver operational tools and process efficiencies.
Key Responsibilities- Architect, create, improve, and operationalise integrated and reusable data pipelines, tools and processes.
- Measure performance, efficiency and robustness of data provision and best practice process approaches.
- Deliver commercial value through working with key business stakeholders, IT experts and subject‑matter experts and high‑quality analytics and data science solutions.
- Understand that solutions and developments need to fit with the long‑term Data Strategy for the analytics platform.
- Explore opportunities presented by using the latest advances in technology and tools while contributing to ensure an appropriate operational model exists to support solutions in production.
- Possess outstanding communication skills and encourage collaboration across EM.
- Build strong relationships throughout the business to preserve trust and respect necessary for the team to continue offering support and guidance.
- Extensive experience in programming/query language skills including Python/PySpark and SQL.
- Data engineering experience – data preparation, transformation & conversion to allow rapid processing of system data across a number of different formats & structures.
- Experience in Databricks, Azure, ADF, Streamlit or alternatives.
- A good understanding of data modelling, ELT design patterns, data governance, and security best practices.
- A problem‑solving mindset with a strong background in delivering using cloud‑based Microsoft Azure Data and Analytics capabilities, Microsoft DevOps and Agile delivery.
- 34 days annual leave entitlement; enhanced maternity/paternity leave; discounted healthcare; salary sacrifice car leasing and much more.
View our full benefits package on our careers site.
Equal OpportunityAs an equal opportunity employer we encourage diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all protected characteristics and commit to providing any reasonable adjustments you need during the application, assessment and upon joining SSE.
Search for 'Inclusion & Diversity at SSE' to find out more.
Application ProcessAll applications should be made online, and I will be back in touch after the vacancy closing date to let you know the outcome. If you would like to discuss any working flexibly requirements or adjustments you may require throughout the recruitment and selection process, please contact Janet at Janet.Gossman@sse.com or on 01738 351816.
EXTERNAL: Before commencing your role with SSE, you'll need to complete our pre‑employment screening process. This will consist of a criminality and credit check.
INTERNAL: As a courtesy, please let your current line manager know you are applying.
Energy Markets - Senior Data Engineer in Perth employer: SSE PLC
SSE is an exceptional employer, committed to fostering a sustainable future while providing a flexible and inclusive work environment. With a strong focus on employee wellbeing, generous benefits such as 34 days of annual leave, and opportunities for professional growth in the rapidly evolving energy sector, SSE empowers its employees to thrive both personally and professionally. Join us in making a meaningful impact in the transition to a low carbon world from our vibrant locations in Glasgow, Edinburgh, Perth, or Reading.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Markets - Senior Data Engineer in Perth
✨Tip Number 1
Network like a pro! Reach out to current employees at SSE or in the energy sector on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your Python projects, especially those related to data engineering. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. Mock interviews with friends or using online platforms can boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll have access to exclusive features that can help you throughout the process.
We think you need these skills to ace Energy Markets - Senior Data Engineer in Perth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, Databricks, and data engineering. We want to see how your skills align with our ambitions in the energy sector!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for sustainable energy and how your background can contribute to our goals. Let us know why you’re excited about this opportunity at SSE.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include examples of data pipelines you've built or optimised. We love seeing practical applications of your skills that demonstrate your problem-solving mindset.
Apply Through Our Website:Remember to apply through our careers site! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team at SSE.
How to prepare for a job interview at SSE PLC
✨Know Your Tech Inside Out
Make sure you brush up on your Python, PySpark, and SQL skills. Be ready to discuss how you've used these technologies in past projects, especially in data engineering contexts. The more specific examples you can provide, the better!
✨Understand the Business Context
Familiarise yourself with SSE's commitment to low carbon projects and their role in the net zero transition. Being able to connect your technical skills to their business goals will show that you're not just a techie, but someone who understands the bigger picture.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data pipelines or governance. Think through your approach to designing and optimising data models, and be ready to explain your thought process clearly.
✨Showcase Your Collaboration Skills
Since this role involves working closely with various teams, be prepared to discuss how you've successfully collaborated in the past. Highlight any experiences where you built strong relationships or facilitated communication between technical and non-technical stakeholders.
