At a Glance
- Tasks: Design and build modern data solutions while applying machine learning techniques to real-world problems.
- Company: Join a globally renowned management consulting firm with an inclusive and entrepreneurial culture.
- Benefits: Industry-leading compensation, top training opportunities, and a dynamic work environment.
- Other info: Opportunity for career growth in a high-growth environment with 300,000 employees.
- Why this job: Make a real impact in data and analytics while collaborating with talented colleagues.
- Qualifications: 3-5 years in data engineering or data science, strong problem-solving skills, and programming expertise.
The predicted salary is between 36000 - 60000 € per year.
About 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?
About Your Role
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.
Your role will include:
- Apply data science and machine learning techniques to real-world business problems
- Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
- Develop and optimise data transformations for analytical and machine learning workloads
- Support the productionisation of data and ML solutions, including monitoring and optimisation
What you bring – required Experience & Background
- 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
Applied Data Science & Analytics
- 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
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
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
About your team
Join our growing Data & Analytics practice and make a difference. In this practice you will be utilising the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.
About Infosys Consulting
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. Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.
We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you. Apply today!
Data Engineering & Data Science Consultant employer: Infosys Consulting
At Infosys Consulting, we pride ourselves on being an excellent employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Data Engineering & Data Science Consultant in London, you will have access to industry-leading compensation, comprehensive benefits, and unparalleled training opportunities, all while working alongside talented colleagues to tackle complex challenges. Our entrepreneurial environment encourages personal growth and the application of your ideas, ensuring that your contributions lead to meaningful impact in the world of data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land 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, webinars, or even local events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines, machine learning, or analytics solutions. This will give you an edge during interviews and help demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills, especially in Python and SQL. Practice common data engineering and data science problems to ensure you're ready to tackle any challenge thrown your way.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in joining our team and being part of our dynamic environment.
We think you need these skills to ace Data Engineering & Data Science Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering and data science projects, especially those that showcase your problem-solving abilities and hands-on experience.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and how your background aligns with our needs. Share specific examples of your work that demonstrate your expertise in data pipelines and analytics solutions.
Showcase Your Technical Skills:Don’t forget to mention your programming skills, especially in Python and SQL. If you’ve worked with cloud platforms or data visualisation tools, make sure to include that too – we love seeing a well-rounded skill set!
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 shows your enthusiasm for joining our team!
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 fundamentals. Be prepared to discuss your experience with data pipelines, transformations, and the tools you've used like Azure or AWS. Having specific examples ready will show that you can apply your knowledge practically.
✨Showcase Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies. Think about how you would approach real-world business problems using data science techniques. This is your chance to demonstrate your analytical mindset and delivery-oriented approach.
✨Familiarise Yourself with the Company Culture
Research Infosys Consulting's core values and culture. Understanding their focus on inclusion, equity, and diversity will help you align your answers with what they value. Show that you’re not just a fit for the role but also for the team.
✨Prepare Questions That Matter
Have thoughtful questions ready for your interviewers. Ask about the team dynamics, the types of projects you'll be working on, or how they measure success in the role. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
