At a Glance
- Tasks: Design and optimise data pipelines for Data Scientists and Traders using Python.
- Company: Join a leading energy market firm focused on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in the energy sector with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and data engineering; strong problem-solving skills.
The predicted salary is between 63000 - 77000 £ per year.
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.
As part of your role 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.
- Promote a better understanding of data and analytics across business stakeholders.
- Stakeholder Management & Communication
- 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.
- Strong communication and stakeholder management skills, with the ability to lead
- cross-functional projects and drive adoption of data quality practices
- Promote and champion the exceptional work being accomplished.
- You will need to have
To be considered for this role, we would love you to have
- Extensive experience in programming/query language skills including Python/Py Spark 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.
- Excellent technical computing, analysis, design and development skills to a proven professional level.
- Good understanding of data streaming concepts with experience designing, analyzing(not essential)
- A good understanding of data modelling, ELT design patterns, data governance, and security best practices.
- A problem-solving mindset, curiosity, and adaptability — able to operate as a generalist across multiple data domains
- A strong background in delivering using cloud-based Microsoft Azure Data and Analytics capabilities, Microsoft Dev Ops and Agile delivery
- Experience with designing, building, and operating analytics solutions using Azure
- #J-18808-Ljbffr
Data Engineer in Reading employer: Lorien
Join a forward-thinking company in Manchester that values technical expertise and offers a dynamic work culture. With a focus on hybrid working, flexible hours, and a strong emphasis on employee growth, this role provides the opportunity to lead impactful projects while maintaining a hands-on engineering position. Enjoy a competitive salary, annual bonus, and the chance to shape the future of corporate infrastructure services in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Reading
✨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 Lorien!
✨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 Lorien.
✨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 Lorien.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Lorien, 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 in Reading
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 Lorien, 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 Lorien. 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 Lorien
✨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 Lorien!
✨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.
