At a Glance
- Tasks: Design and build a modern Lakehouse platform using cutting-edge tools like SDD, Airflow, and dbt.
- Company: Emagine Consulting, a forward-thinking tech consultancy based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects in a collaborative environment with great career advancement potential.
- Why this job: Join a dynamic team and shape the future of data engineering with innovative solutions.
- Qualifications: Experience in Databricks, PySpark, and building scalable data pipelines.
The predicted salary is between 63000 - 77000 £ per year.
Emagine Consulting in London is seeking 2 Senior Databricks Data Engineers to design, build and scale a modern Lakehouse platform using SDD, Airflow and dbt. You will translate architectural requirements into reliable production solutions with clearly defined data contracts and automated tests.
You will design scalable pipelines on Delta Lake, lead the adoption of Spec-Driven Development, and optimize PySpark workloads while controlling compute and storage costs across multi-cloud environments.
Senior Databricks Data Engineer — Lakehouse Architect in City of Westminster employer: Emagine Consulting
At emagine, we pride ourselves on fostering a supportive and inclusive work culture that empowers our consultants to thrive. With a strong commitment to employee growth through ongoing training and development, as well as the flexibility of a hybrid working model, we provide an environment where you can take ownership of your projects and make impactful decisions. Join us in delivering innovative solutions at the intersection of data, AI, and customer engagement, while building lasting relationships in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Data Engineer — Lakehouse Architect in City of Westminster
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We think you need these skills to ace Senior Databricks Data Engineer — Lakehouse Architect in City of Westminster
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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Craft a Tailored Cover Letter:For a full-time role at Emagine Consulting, 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 Emagine Consulting. 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 Emagine Consulting
✨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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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
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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.
