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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines for analytics and decision-making.
- Company: Keyrus, a global leader in Data Intelligence with a focus on sustainability.
- Benefits: Hybrid work model, competitive salary, medical insurance, and training opportunities.
- Other info: Inclusive workplace that values diversity and innovation.
- Why this job: Join a dynamic team and make a real impact with data-driven solutions.
- Qualifications: 4+ years in data engineering, strong Python and SQL skills required.
About Keyrus
Keyrus is a global consulting and technology company focused on making data matter — truly matter — from a human perspective. Founded in 1996, Keyrus operates in 28+ countries across 5 continents, with more than 3,300 people worldwide. Our strength comes from combining deep expertise in Data & Analytics, AI, Digital, and Management Consulting with a strong understanding of business realities. Data is never the goal in itself. We use data to shape understanding, design meaningful experiences, and enable better, real-life decisions. At Keyrus, we also believe companies have a responsibility beyond performance. Through our Foundation and ESG initiatives, we actively contribute to sustainability, inclusion, and positive societal impact.
The Role
As a Data Engineer, you will work at the intersection of data, technology, and business, helping design and scale modern data platforms that enable reliable analytics and informed decision-making. You will be part of an agile, high-performing team focused on building and maintaining data pipelines, working with large and complex datasets, and ensuring data is accessible, accurate, and performant across the organisation.
Your Impact
- Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data from multiple sources
- Work with large and complex datasets, ensuring they are clean, accurate, and ready for analytics
- Collaborate with analysts and data scientists to make data accessible and useful
- Develop data processing solutions using Python (pandas, PySpark) and SQL
- Optimize queries and pipelines to improve performance and efficiency
- Ensure data quality, reliability, and security across all workflows
- Automate repetitive tasks and continuously improve data engineering processes
- Contribute to data platform stability and scalability in a distributed environment
What Makes This Role Challenging
- You will work with large-scale, complex data ecosystems
- You must balance performance, scalability, and reliability
- You will collaborate across multiple teams with evolving data needs
- You will contribute to systems supporting critical business and analytical use cases
What We’re Looking For
Must-haves- 4+ years of experience in data engineering or related roles
- Strong proficiency in Python (pandas, PySpark) and SQL
- Hands-on experience building data pipelines using Airflow or similar tools
- Experience with cloud platforms (AWS, Azure, or GCP)
- Solid knowledge of Linux/Unix environments and basic scripting (Bash)
- Understanding of data modelling concepts and performance optimisation
- Experience with CI/CD pipelines and DevOps practices
- Familiarity with Agile methodologies
- Strong analytical mindset with a focus on data quality and continuous improvement
- Ability to communicate clearly with both technical and non-technical stakeholders
- Fluency in English
- Experience with streaming technologies (e.g., Kafka or similar)
- Exposure to modern data platforms such as Databricks or Snowflake
- Experience with NoSQL databases
- Knowledge of data governance and data security best practices
- Interest or experience in real-time analytics or AI/ML data pipelines
- Exposure to large-scale distributed data systems
How Our Salary Ranges Work
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
- Bottom of the range: You meet the core requirements and will need ramp-up time and support.
- Middle of the range: You are fully autonomous from Day 1 and deliver consistently.
- Top of the range: You are a reference for the role, mentor others, and raise the bar for the team.
Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.
What We Offer
- Hybrid work model (3 days/week in office)
- 18 paid leaves + 9 public holidays
- ₹5L medical insurance + ₹10L accident insurance
- Competitive fixed salary with EPF & statutory benefits
- International consulting exposure with Keyrus clients
- Discretionary Bonus Scheme
- Referral Bonus Scheme
- Training & Development via KLX (Keyrus Learning Experience)
Why Keyrus?
Joining Keyrus means joining a market leader in Data Intelligence, a company where people, trust, and diversity are core values, an environment that values ownership, flexibility, and innovation, and a place where different backgrounds and perspectives are not just welcomed — they are essential. We believe diversity drives better thinking, stronger teams, and better outcomes. Everyone belongs at Keyrus.
Equal Opportunity Statement
We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
Data Engineer Bangalore · in London employer: The Keyrus Group
Contact Detail:
The Keyrus Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Bangalore · in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use real-life examples from your experience to demonstrate how you can add value to the team.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a quick email. It shows your enthusiasm and keeps you on their radar.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals, and applying directly through us can give you an edge!
We think you need these skills to ace Data Engineer Bangalore · in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and data pipelines. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to work with large datasets and build scalable data solutions. This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and achievements.
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. Don’t miss out!
How to prepare for a job interview at The Keyrus Group
✨Know Your Data Engineering Basics
Before the interview, brush up on your data engineering fundamentals. Be ready to discuss your experience with Python, SQL, and building data pipelines. Make sure you can explain how you've used tools like Airflow or cloud platforms in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you overcame them. Highlight your analytical mindset and focus on data quality, as this will resonate well with the interviewers at Keyrus.
✨Familiarise Yourself with Agile Methodologies
Since you'll be working in an agile environment, it’s crucial to understand Agile principles. Be ready to discuss how you've collaborated with cross-functional teams and adapted to evolving data needs in your past projects.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You'll need to communicate effectively with both technical and non-technical stakeholders, so being clear and confident in your communication will set you apart during the interview.