At a Glance
- Tasks: Lead data onboarding and integration, transforming business needs into effective data solutions.
- Company: Join EDF, a leader in the energy sector committed to personal success and inclusivity.
- Benefits: Competitive salary, annual bonus, flexible working, and customisable benefits like gym discounts.
- Other info: Work in a dynamic environment with opportunities for career growth and innovation.
- Why this job: Make a real impact on data solutions that drive meaningful business outcomes.
- Qualifications: Experience in data engineering, strong SQL skills, and familiarity with cloud platforms like Snowflake.
The predicted salary is between 63000 - 77000 £ per year.
Job Description At EDF, Success is Personal.
We're looking for a Data Engineer who wants to make a real impact by delivering trusted, scalable data solutions that help colleagues make better decisions and drive meaningful business outcomes.
This is an exciting opportunity to join our Data Enablement team, where you'll work with modern technologies, collaborate with stakeholders across the business and help shape the future of our enterprise data platform.
As we continue working towards An Electric Britain, you'll play an important role in helping us unlock the value of data.
The Opportunity As a Data Engineer, you'll lead the onboarding and integration of new data sources into our enterprise data platform.
You'll work closely with business stakeholders, partners and technical teams to deliver robust and scalable data solutions.
While the role has a strong focus on data ingestion, you'll also contribute to data transformation, modelling and data warehousing activities.
You'll have the opportunity to influence how we work, improve our delivery approaches and explore the use of automation and AI technologies.
This is a full-time, permanent role and can be based anywhere in the UK.
We support flexible ways of working and occasional travel will required for team meetings and business activities.
What You'll Be Doing Lead the onboarding and integration of new data sources Translate business and partner requirements into effective data solutions Develop and maintain data transformation processes and pipelines Support data modelling and data warehousing activities Work collaboratively with internal teams and external partners Improve reusable patterns, standards and ways of working Share knowledge and support colleagues across the team Identify opportunities to use automation and AI to improve efficiency and delivery Who You Are You'll enjoy solving problems, building strong relationships and taking ownership of your work.
You're comfortable working with both technical and non-technical stakeholders and can turn business requirements into practical technical solutions.
Are you experienced with...
Strong experience in data engineering, data integration and data transformation Evidence of strong SQL skills Good understanding of data warehousing and data modelling principles Experience working with cloud-based data platforms such as Snowflake Experience integrating data from a variety of source systems Experience using source control and collaborative development practices Strong stakeholder management and communication skills The ability to translate business requirements into effective technical solutions A proactive approach and the ability to work independently and as part of a team Interest in AI and emerging technologies.
Pay, Benefits and Culture Alongside a competitive salary, potential for an annual bonus, and a market-leading pension scheme, your package will include customisable benefits such as electric vehicle leasing, discounted gym membership, life assurance, tech vouchers, experience days, and more.
At EDF, we believe there are multiple definitions of what it means to succeed.
That's why we offer you the freedom to develop a career that's unique to you.
Here, Success is Personal – it's your journey, powered by us.
Everyone is welcome at EDF; we're committed to building a workforce that reflects gender balance, social mobility, and inclusion of minority ethnic backgrounds, LGBTQ+ communities, and those with disabilities.
As a Disability Confident employer, we will support applicants requiring adjustments.
Join us and find your success at EDF!Closing date: Sunday 6th September #Success Is Personal #EDFcareers #LI-Remote #Data Engineer Additional Information Success is Personal.
It's your journey, powered by us.
Join us and drive the transition towards An Electric Britain.
- Summary
- Type: Full-time
- Function: Other Experience level: Not Applicable
- Industry: Oil And Energy
Data Engineer employer: EDF Energy
EDF Energy is an excellent employer, offering a dynamic work culture that prioritises innovation and collaboration. Employees benefit from competitive salaries, potential bonuses, and a range of customisable benefits, all while working in a hybrid environment that supports work-life balance. With a strong focus on employee growth and development, EDF Energy provides ample opportunities for career advancement in the rapidly evolving field of technology services.
StudySmarter Expert Advice🤫
We think this is how you could land Data 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 EDF Energy!
✨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 Engineer at EDF Energy.
✨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 EDF Energy.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at EDF Energy, 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 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 EDF Energy, 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 EDF Energy. 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 EDF Energy
✨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 EDF Energy!
✨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.
