At a Glance
- Tasks: Design and optimise data pipelines for Data Scientists and Traders using Python on Databricks.
- Company: Join a leading energy market firm focused on innovation and collaboration.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement potential.
- Why this job: Make a real impact in the energy sector with cutting-edge technology.
- Qualifications: Experience in Python, SQL, and data engineering; strong communication skills.
Job Title: Senior Data Engineer
Duration: 6 Months
Location: Reading
Description:
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/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.
- 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 DevOps and Agile delivery
- Experience with designing, building, and operating analytics solutions using Azure cloud technologies
Senior 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 Senior Data Engineer in Reading
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien.
