Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build modern data solutions while collaborating with experts in the field.
- Company: Join a globally renowned management consulting firm with a dynamic, inclusive culture.
- Benefits: Competitive salary, career growth opportunities, and a chance to work with leading brands.
- Why this job: Make a real impact on industry disruption and cutting-edge technology projects.
- Qualifications: 3-5 years in data engineering or analytics, strong problem-solving skills, and programming expertise.
- Other info: Be part of a high-growth environment with diverse thinking and entrepreneurial spirit.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As a Consultant / Senior Consultant in Data Engineering & Data Science, you work hands‑on on the design, build, and operationalisation of modern data and analytics solutions. You contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value‑driven data solutions in complex client environments.
Requirements
- 3-5 years of experience in data engineering, data science, or analytics
- Hands‑on experience delivering data and analytics solutions in project‑based or client environments
- Strong problem‑solving skills and a pragmatic, delivery‑oriented mindset
- Data Engineering Foundations
- Experience building end‑to‑end data pipelines (ingestion, transformation, storage)
- Solid understanding of data modelling, data transformations, and feature engineering
- Familiarity with cloud‑based data platforms, such as Azure, AWS, or GCP
- Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
- Understanding of CI/CD concepts and production‑grade deployments
- Experience applying statistical analysis and machine learning techniques
- Strong programming skills in Python
- Very good SQL skills and experience working with relational databases
- Experience deploying or supporting ML models in production environments
- Ability to translate analytical results into business‑relevant insights
Nice to have
- Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
- Exposure to GenAI, NLP, time series, or advanced analytics use cases
- Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)
- Familiarity with Docker and Kubernetes
- Experience with data visualisation tools (e.g. Power BI, Tableau)
- Cloud or data‑related certifications
Language & Mobility
- Very good English skills
- Willingness to travel for project‑related work
Why Join Us
Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high‑growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready? Be part of a globally renowned management consulting firm on the front‑line of industry disruption and at the cutting edge of technology. We work with market‑leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid‑size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey. Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.
Consultant & Senior Consultant in City of Westminster employer: Infosys Limited
Contact Detail:
Infosys Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant & Senior Consultant in City of Westminster
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects or contributions to data solutions. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Ace the Interview
Prepare for those interviews by practising common questions and scenarios related to data engineering and analytics. Be ready to discuss your problem-solving approach and how you’ve tackled challenges in past projects.
✨Apply Through Our Website
Make sure to apply through our website for the best chance of landing that role! We love seeing candidates who are proactive and engaged with our company. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Consultant & Senior Consultant in City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Consultant & Senior Consultant role. Highlight your hands-on experience with data engineering and analytics solutions, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background makes you a great fit for our team. Be sure to connect your experiences to the specific requirements in the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in past roles. We love candidates who can demonstrate a pragmatic, delivery-oriented mindset, so share those success stories that highlight your analytical thinking!
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 the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Infosys Limited
✨Know Your Data Inside Out
Make sure you brush up on your data engineering and data science fundamentals. Be ready to discuss your experience with end-to-end data pipelines, data transformations, and any cloud platforms you've worked with. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your pragmatic, delivery-oriented mindset that the company is looking for.
✨Get Hands-On with Tools
Familiarise yourself with the tools mentioned in the job description, like Python, SQL, and any data visualisation tools. If you have experience with streaming technologies or cloud services, be ready to discuss how you’ve used them in real-world scenarios. This shows you’re proactive and well-prepared.
✨Translate Data into Business Insights
Practice explaining technical concepts in a way that’s relevant to business stakeholders. Think about how you can translate analytical results into actionable insights. This skill is crucial for the role and will set you apart from other candidates.
