Energy Markets – Senior Data Engineer
SSE plc Edinburgh, Scotland, United Kingdom
About the Role
Base Location: Flexible – Glasgow, Edinburgh, Perth, Reading. While the location of this role is flexible within the UK, regular travel to SSE’s key Energy Markets offices will be required.
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.
You will
* Architect, create, improve, and operationalise integrated and reusable data pipelines, tools and processes. Measuring 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 the opportunities presented by using the latest advances in technology and tools alongside contributing to ensure an appropriate operational model exists to support solutions in production.
* Possesses outstanding communication skills and encourages collaboration across EM. Building strong relationships throughout the business is crucial to preserving the trust and respect necessary for the team to continue offering support and guidance.
You have
* Extensive experience in programming/query language skills including Python/PySpark and SQL.
* Data engineering experience – via data preparation, transformation & conversion to allow for 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.
What’s in it for you?
We offer an excellent package with 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 Opportunity
As 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.
What happens now?
All applications should be made online, and I’ll 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.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
Utilities, Oil and Gas, and Renewable Energy Semiconductor Manufacturing
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