Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy data solutions using machine learning techniques.
- Company: Global consulting firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the data-driven world.
- Qualifications: 3-5 years in data engineering or analytics, with strong Python and SQL skills.
- Other info: High-growth environment with exciting career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A global consulting firm is seeking a Data Engineering & Data Science Consultant in London. The role involves designing and deploying data solutions, employing machine learning techniques, and collaborating with teams to deliver value-driven data initiatives.
Ideal candidates should have:
- 3-5 years of experience in data engineering or analytics
- A degree in a related field
- Strong skills in Python and SQL
Join to work in a dynamic, high-growth environment with competitive benefits.
Senior Data Engineering & Data Science Consultant employer: Infosys Consulting
Contact Detail:
Infosys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering & Data Science Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and data science fields. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data solutions and machine learning projects. This is your chance to demonstrate your expertise in Python and SQL. A strong portfolio can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering and data science questions. Practice explaining your past projects and how you’ve delivered value through data initiatives. Confidence and clarity can make a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Senior Data Engineering & Data Science Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and analytics. We want to see how your skills in Python and SQL shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've designed and deployed data solutions, and how you’ve used machine learning techniques to drive results.
Showcase Your Teamwork Skills: Collaboration is key in our dynamic environment. In your application, mention any experiences where you worked with teams to deliver data initiatives. We love to see how you contribute to a team’s success!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in London!
How to prepare for a job interview at Infosys Consulting
✨Know Your Data Inside Out
Make sure you brush up on your data engineering and data science concepts. Be ready to discuss your experience with Python and SQL, as well as any machine learning techniques you've employed. Prepare examples of how you've designed and deployed data solutions in previous roles.
✨Showcase Your Problem-Solving Skills
Consulting firms love candidates who can think on their feet. Be prepared to tackle hypothetical scenarios or case studies during the interview. Practice articulating your thought process clearly, demonstrating how you approach problem-solving in a collaborative environment.
✨Research the Company Culture
Understanding the firm's values and culture is crucial. Look into their recent projects and initiatives to see how they align with your skills and experiences. This will help you tailor your answers and show that you're genuinely interested in contributing to their team.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with insightful questions about the role and the company. Ask about their data initiatives, team dynamics, and growth opportunities. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
