Senior Data Engineering & Analytics Consultant in London

Senior Data Engineering & Analytics Consultant in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Talan Group

At a Glance

  • Tasks: Unlock insights from data using Machine Learning and AI with leading software vendors.
  • Company: Join Talan Group, a forward-thinking company in Greater London.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and performance bonuses.
  • Other info: Dynamic team environment with opportunities for professional growth.
  • Why this job: Make a real impact by delivering innovative data solutions.
  • Qualifications: Extensive experience in Data Management, Engineering, Python, SQL, Power BI, and Databricks.

The predicted salary is between 60000 - 80000 £ per year.

Talan Group is looking for a Data Management and Analytics consultant to join their team in Greater London. This role involves working with leading software vendors to unlock insights from data using modern technologies like Machine Learning and AI.

The ideal candidate will have extensive experience in Data Management and Engineering, be proficient in Python and SQL, and capable of delivering solutions using Power BI and Databricks.

Benefits include:

  • 25 days holiday
  • private medical insurance
  • a performance-based bonus

Senior Data Engineering & Analytics Consultant in London employer: Talan Group

Talan Group is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. With a strong emphasis on employee growth, we offer extensive training opportunities and the chance to work with cutting-edge technologies like Machine Learning and AI. Our comprehensive benefits package, including 25 days of holiday and private medical insurance, ensures that our team members are well-supported both personally and professionally.

Talan Group

Contact Details:

Talan Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineering & Analytics Consultant in London

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 Talan Group!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineering & Analytics Consultant at Talan Group.

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 Talan Group.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineering & Analytics Consultant at Talan Group, 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 Engineering & Analytics Consultant in London

Data Management
Data Engineering
Machine Learning
AI
Python
SQL
Power BI

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 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!

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 Talan Group!

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.