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- Tasks: Drive business growth by implementing data-driven models and conducting in-depth analysis.
- Company: Global recruitment specialist with a focus on EMEA, APAC, US, and Canada.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional development.
- Why this job: Make a real impact by working with data to uncover business opportunities.
- Qualifications: 5+ years of SQL experience; knowledge of Databricks and Python is a plus.
- Other info: Collaborative environment with a focus on innovation and career growth.
The predicted salary is between 36000 - 60000 £ per year.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada.
Location: Reading (Hybrid – 3 days per week onsite)
Duration: 6 months contract initially
The Data Science team is seeking a dedicated Data Science Engineer. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities.
You will work with senior stakeholders and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy.
Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change.
Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements.
Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting.
Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions.
Automate model refreshes and account prioritization processes.
- 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential.
- Experience with Databricks and Python is desirable.
- Proven experience of building, testing, evaluating, and improving revenue-generating data science models.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible.
Data Engineer/Inżynier Big Data in Reading employer: eTeam
Contact Detail:
eTeam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/Inżynier Big Data in Reading
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models, SQL queries, and any projects you've worked on. 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 your thought process when building and evaluating models, as this will demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, it makes it easier for us to connect with you directly about your application.
We think you need these skills to ace Data Engineer/Inżynier Big Data in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your SQL experience and any relevant projects you've worked on that showcase your skills in data modelling and analysis.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve built, tested, or improved data science models. This will help us see how you can contribute to our team.
Keep It Clear and Concise: We love a well-structured application! Keep your language clear and concise, focusing on the most relevant experiences. Avoid jargon unless it’s necessary to explain your expertise.
Apply Through Our Website: For the best chance of getting noticed, apply through our website. It helps us keep track of applications and ensures you’re considered for the role as soon as possible!
How to prepare for a job interview at eTeam
✨Know Your Data Inside Out
Make sure you’re well-versed in the data sources and models mentioned in the job description. Brush up on your SQL skills, as you'll likely be asked to demonstrate your ability to query and manipulate complex datasets during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified performance gaps and implemented data-driven solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Familiarise Yourself with Tools and Technologies
If you have experience with Databricks and Python, be ready to talk about how you've used these tools in past projects. If you're not familiar with them, do a bit of research to understand their applications in data engineering.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewers about the team dynamics, current projects, and how they measure success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.