At a Glance
- Tasks: Design and build data solutions to maximise value from data in a leading Energy Trading company.
- Company: Join a world-leading Energy Trading company with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and a chance to work with cutting-edge technology.
- Other info: Dynamic environment with opportunities for community-building and career growth.
- Why this job: Make a real impact by driving data strategy and mentoring junior engineers.
- Qualifications: Expertise in Databricks, PySpark, Python, SQL, and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Senior Data Engineer to join a world-leading Energy Trading company to design and build data foundations and end-to-end solutions for the Business to maximize value from data.
The candidate is expected to be a subject matter expert who designs and builds data solutions while also mentoring junior engineers.
They are also a key driver in translating Vision and Data Strategy into IT solutions and delivering on them.
Strong hands-on expertise in Databricks, Py Spark, Python and SQL is central to this role.
- Key Skills
- Azure Stack
- ELT Experience
- Data Modeling
- Data Integration & Ingestion
- Data Manipulation and Processing
- Git Hub, Git Hub Actions, Azure Dev Ops
- Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, Sonar Qube, Py Test
- Key Characteristics
- Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions.
- Deep data focus with expertise across relevant technology domains.
- A skilled communicator capable of engaging both technical developers and business managers; respected and trusted by leaders and staff.
- Actively delivers the roll-out and embedding of Data Foundation initiatives in support of key business programs.
- Coordinates the change management, incident management, and problem management processes.
- Presents reports and findings to key stakeholders and acts as the subject matter expert on Data Analysis & Design.
- Drives implementation efficiency and effectiveness across pilots and future projects to minimize cost, increase speed of delivery, and maximize value.
- Contributes to community-building initiatives such as Centers of Excellence (Co E) and Communities of Practice (Co P).
- #J-18808-Ljbffr
Senior Data Engineer : Databricks employer: Eaglecliff
Eaglecliff is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong focus on employee growth, you will have access to continuous learning opportunities and mentorship as you lead Agile practices within a prestigious Energy Trading & Commodities company. Join us to be part of a dynamic team where your contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer : Databricks
✨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 Eaglecliff!
✨Show Off Your Projects
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✨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 Eaglecliff.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer : Databricks at Eaglecliff, 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 Senior Data Engineer : Databricks
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 Eaglecliff, 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 Eaglecliff. 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 Eaglecliff
✨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 Eaglecliff!
✨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.
