Posted on: 21/08/2026
Senior Data Engineer
Experience : 10-15 years
Location : Bengaluru, Karnataka
Work Mode : Hybrid, 3 days in office
Office Location : HSR, Bengaluru
Working Hours : 11 : 30 AM to 7 : 30 PM
Employment Type : Full-time
About Veraxion :
Veraxion is a global consulting and technology services firm focused on helping organizations solve complex business challenges through Digital, Data, Engineering, AI, cloud modernization, and business transformation.
The company works across areas including data and AI, digital transformation, cloud modernization, business operations, enterprise architecture, sustainability, energy and commodities, and financial services. Veraxion combines industry and business context with hands-on technology delivery to help clients achieve measurable business outcomes.
Veraxion has a global presence with its headquarters in Switzerland and operations including Bengaluru, India. Its team includes consultants, software engineers, data scientists, and technology specialists working on transformation and engineering initiatives for clients across industries.
About the Opportunity :
- Veraxion is looking for a Senior Data Engineer / Data Engineer III who is passionate about building modern data platforms and solving complex engineering problems at scale.
- This is a senior, hands-on engineering role where you will take ownership of data products end to end, from understanding business requirements and designing scalable solutions to building, deploying, optimizing, and supporting production-grade data pipelines.
- The role is primarily an Individual Contributor role, but the ideal candidate should also have prior experience in mentoring engineers, leading teams or technical initiatives, and managing stakeholders.
- You will work directly with clients and will be expected to communicate effectively with both technical and business stakeholders.
- This opportunity is with Veraxion and involves working on a project for a Switzerland-based commodity client, making strong communication, stakeholder management, and client-facing skills particularly important.
What We Are Looking For :
We are looking for a senior technologist who remains deeply hands-on while also being capable of providing technical leadership. The ideal candidate should have :
- 12-18 years of experience in Data Engineering
- Strong experience delivering enterprise-scale data platforms
- Strong hands-on expertise with Databricks
- Strong expertise in Apache Spark / PySpark, Python, and SQL
- Hands-on experience building cloud-native data platforms on AWS
- Strong understanding of distributed data processing and modern data engineering practices
- Experience with Lakehouse architecture
- Strong experience with ETL / ELT pipelines
- Experience designing scalable data models and optimizing large-scale data pipelines
- Strong software engineering fundamentals
- Good understanding of Git, CI/CD, testing, code quality, and production engineering practices
- Experience working with business and technical stakeholders
- Excellent communication and client-facing skills
- Prior experience mentoring engineers and/or leading technical teams
- Experience managing stakeholders and leading technical discussions
Important Role Context :
- This is not a pure Solution Architect position.
- The person joining this role is expected to remain hands-on with Data Engineering, particularly with Databricks, Spark/PySpark, Python, SQL, AWS, data pipelines, and modern data platforms.
- At the same time, the role requires the maturity to work directly with clients, manage stakeholders, mentor engineers, lead technical discussions, and take ownership of complex engineering initiatives.
- The existing Data Engineering team is currently not in place for this initiative. The selected candidate will therefore have an opportunity to help build the Data Engineering team and capability from the ground up, including mentoring and contributing to future team development.
Ideal Candidate Profile :
- The strongest fit for this role would be someone who can combine :
1. Deep technical expertise
2. Hands-on execution
3. Client communication
4. Technical leadership
- You should be comfortable being the person who can understand a business problem, design the right data solution, get into the code and build it, discuss the solution with the client, troubleshoot production challenges, and guide other engineers when required.
Core Technology Stack :
- Data Engineering : Databricks, Apache Spark, PySpark, Python, SQL
- Cloud : AWS
- Architecture : Lakehouse, distributed data processing, scalable data platforms
- Data Processing : Batch processing, streaming, ETL / ELT, CDC, incremental processing
- Engineering : Git, CI/CD, automated testing, code reviews, observability, DataOps
- Data : Data modelling, curated datasets, metadata-driven frameworks, data quality and validation
Location & Work Model :
- Location : HSR, Bengaluru
- Work Model : Hybrid, 3 days from office
- Shift : 11 : 30 AM to 7 : 30 PM
- This is a highly urgent requirement and the role is currently intended for candidates who are already based in Bengaluru and can work from the Bengaluru office under the hybrid model.
Interview Process :
- The selection process consists of :
1. Internal interview round
2. 2 more rounds with Veraxion
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1665135