At a Glance
- Tasks: Lead data strategies for trading teams and enhance data quality for reliable insights.
- Company: Leading organisation in the energy sector with a dynamic trading environment.
- Benefits: Competitive salary, opportunities for growth, and a chance to work with cutting-edge technology.
- Other info: Join a digital-first team focused on innovation and automation.
- Why this job: Make a real impact by shaping data strategies and integrating AI in a fast-paced industry.
- Qualifications: Bachelor’s degree and 3 years’ experience in data strategy or engineering, preferably in energy.
The predicted salary is between 36000 - 60000 £ per year.
We are currently seeking a highly skilled Data Engineer / Analyst on behalf of a leading organisation in the energy sector. This role offers an exciting opportunity to contribute to a dynamic trading environment by developing and implementing robust data strategies that support commercial decision-making.
Overview of the role:
- Lead the development and execution of data strategies for trading and commercial teams.
- Act as the key liaison between business stakeholders and IT, translating needs into technical solutions.
- Collaborate with digital and data engineering teams to shape data architecture and governance.
- Enhance data quality, lineage, and controls to ensure reliable insights.
- Support the integration of AI, machine learning, and advanced analytics tools.
- Promote best practices for data access, tooling, and workflows across teams.
Required experience and skills:
- Bachelor’s degree in Engineering, Computer Science, Mathematics, Business, Economics, or related field.
- At least 3 years’ experience in data strategy, analytics, or data engineering, preferably within energy or trading sectors.
- Proficiency in SQL, Python, Databricks, Power BI, or similar tools.
- Experience with data pipelines, modelling, and modern analytics environments.
- Strong communication skills to liaise effectively with technical and non-technical teams.
- Digital-first mindset with an interest in automation and AI.
If this role is of interest to you, please reply with an updated version of your CV.
Data Engineer employer: Pangea
Join a leading organisation in the energy sector that prioritises innovation and collaboration, offering a vibrant work culture where your contributions as a Data Engineer will directly impact commercial decision-making. With a strong focus on employee growth, you will have access to continuous learning opportunities and cutting-edge technologies, all while working in a dynamic trading environment that values your expertise and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working as Data Engineers or Analysts. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, or any tools mentioned in the job description. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data strategies, analytics, and any relevant tools like SQL or Python. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've developed data solutions or improved data quality. This gives us a clear picture of your hands-on experience and how you can contribute to our dynamic trading environment.
Communicate Clearly:Since you'll be liaising between technical and non-technical teams, make sure your application reflects strong communication skills. Use straightforward language to explain your technical expertise and how it relates to business needs.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pangea
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any other tools mentioned in the job description. Be ready to discuss how you've used these technologies in past projects, especially in relation to data pipelines and analytics.
✨Understand the Energy Sector
Familiarise yourself with the energy sector and its trading environment. Research current trends and challenges in the industry so you can speak knowledgeably about how your skills can contribute to their data strategies.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data architecture. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Collaboration Skills
Since this role involves liaising between business and IT teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and any experience you have in promoting best practices across teams.
