At a Glance
- Tasks: Build reliable ETL/ELT pipelines and create insightful dashboards for operations.
- Company: Morgansgrocer, a forward-thinking company focused on data-driven solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with AI teams and work in a fast-paced, innovative environment.
- Why this job: Join a dynamic team and make a real impact with your data expertise.
- Qualifications: 5+ years of experience in data engineering, strong SQL/Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Morgansgrocer is looking for a data engineer/analyst to build reliable ETL/ELT pipelines from multiple sources and create dashboards for a 360-degree view of operations. You will model data for forecasting and behavioural analysis, and collaborate with the AI team to supply the right data.
Bring 5+ years of experience, strong SQL/Python, and the ability to translate numbers into actionable insights for non-technical stakeholders.
#J-18808-LjbffrSenior Data Engineer — Real-Time Pipelines & Dashboards employer: Morgansgrocer
Morgansgrocer is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in DevOps can truly shine. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work with cutting-edge technologies in a dynamic environment. Located in a vibrant area, our team enjoys a supportive atmosphere that values work-life balance and encourages creativity in solving complex challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Real-Time Pipelines & Dashboards
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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 Morgansgrocer.
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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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Morgansgrocer. 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 Morgansgrocer
✨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!
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✨Get Comfortable with Python and R
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✨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.
