At a Glance
- Tasks: Design and optimise data pipelines, build dashboards, and lead technical teams.
- Company: Leading data management and analytics consultancy in London.
- Benefits: Competitive salary, travel opportunities, and a dynamic work environment.
- Other info: Opportunity for career growth and engaging client interactions.
- Why this job: Join a forward-thinking team and make an impact in data engineering.
- Qualifications: Experience with Databricks, PySpark, and strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
Talan Data x AI is a leading data management and analytics consultancy seeking a Senior Data Engineering Consultant (Databricks) to join on client-site delivery in London.
You will design and optimise data pipelines with Py Spark in Databricks, build dashboards in Power BI, and lead technical and project teams while engaging stakeholders.
The role requires multi-disciplinary data expertise, strong communication, and a proactive, adaptable mindset, with willingness to travel.
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Senior Databricks Data Engineer & Solutions Leader in London employer: Talan Group
Talan Group is an exceptional employer, offering a dynamic work environment in Greater London where innovation and collaboration thrive. With a strong focus on employee growth, we provide ample opportunities for professional development alongside a competitive salary and comprehensive benefits package, including private healthcare and generous leave policies. Join us to be part of a forward-thinking team that values flexibility and effective communication, making a meaningful impact in the Media and Publishing sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Databricks Data Engineer & Solutions Leader in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Databricks Data Engineer & Solutions Leader in London
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 Talan Group, 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 Talan Group. 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 Talan Group
✨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.
