Senior Data Engineer
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
The work we do and the innovation we drive
Our values of share, care a nd dare
A workplace culture that fosters creativity, diversity and autonomy
Our borderless, global framework, which enables seamless collaboration
The role
As a Data Engineer , you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+YEARS of experience, a growth mindset and a drive to make a lasting impact.
You will thrive in this role if you are:
A curious problem solver who challenges the status quo
A collaborator who values teamwork and knowledge-sharing
Excited by the intersection of technology, creativity and data
Experienced in Agile methodologies and consulting (a plus)
Role responsibilities
Data Infrastructure & Architecture
Design and implement robust, scalable data architectures and pipelines
Build and maintain ETL/ELT processes for batch and real-time data processing
Develop data models and schemas optimized for analytics and reporting
Ensure data quality, consistency, and reliability across all data systems
Platform-Agnostic Development
Work with multiple cloud platforms (AWS, Azure, GCP) based on client requirements
Implement data solutions using various technologies and frameworks
Adapt quickly to new tools and platforms as project needs evolve
Maintain expertise across different cloud ecosystems and services
Data Pipeline Development
Create automated data ingestion pipelines from various sources (APIs, databases, files, streaming)
Implement data transformation logic using modern data processing frameworks
Build monitoring and alerting systems for data pipeline health
Optimize pipeline performance and cost-efficiency
Collaboration & Integration
Work closely with data scientists, analysts, and business stakeholders
Collaborate with DevOps teams to implement CI/CD for data pipelines
Partner with client teams to understand data requirements and deliver solutions
Participate in architecture reviews and technical decision-making
Must have qualifications
Technical Skills
Minimum 3+ years of experience in data engineering or related field
Strong programming skills in Python and/or Scala/Java
Experience with SQL and database technologies (PostgreSQL, MySQL, MongoDB)
Hands-on experience with data processing frameworks:
Apache Spark, Hadoop ecosystem
Apache Kafka for streaming data
Apache Airflow or similar workflow orchestration tools
Knowledge of data warehouse concepts and technologies
Experience with containerization (Docker, Kubernetes)
Understanding of data modeling principles and best practices
Cloud & Platform Experience
Experience with at least one major cloud platform (AWS, Azure, or GCP)
Familiarity with cloud-native data services:
Data lakes, data warehouses, and analytics services
Serverless computing and event-driven architectures
Identity and access management for data systems
Knowledge of Infrastructure as Code ( Terraform, CloudFormation , ARM templates)
Data & Analytics
Understanding of data governance and security principles
Experience with data quality frameworks and monitoring
Knowledge of dimensional modeling and data warehouse design
Familiarity with business intelligence and analytics tools
Understanding of data privacy regulations (GDPR, CCPA)
Nice to have qualifications
Advanced Technical Skills
Experience with modern data stack tools (dbt, Fivetran, Snowflake, Databricks )
Knowledge of machine learning pipelines and MLOps practices
Experience with event-driven architectures and microservices
Familiarity with data mesh and data fabric concepts
Experience with graph databases (Neo4j, Amazon Neptune)
Industry Experience
Experience in digital agency or consulting environment
Background in financial services, e-commerce, retail, or customer experience platforms
Knowledge of marketing technology and customer data platforms
Experience with real-time analytics and personalization systems
Soft Skills
Strong problem-solving and analytical thinking abilities
Excellent communication skills for client-facing interactions
Ability to work independently and manage multiple projects
Adaptability to rapidly changing technology landscape
Experience mentoring junior team members
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a full-time position based in Bengaluru .
Beyond a competitive compensation package, we offer:
Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.