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 and 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.