Data Engineering Lead
Version 1 · Mumbai, India ·
- Work mode
- Hybrid
- Seniority
- Lead
- Category
- Data engineering
- Experience
- 8+ years
Version 1 · Mumbai, India ·
Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.
We’re an award-winning employer reflecting how our employees are at the very heart of what we do:
We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!.
We are looking for a Data Tech Lead to join our Data Engineering practice, delivering modern data platforms for enterprise and regulated clients. This is a hands‑on leadership role for a technically strong engineer who can lead design and delivery, act as a trusted technical authority, and mentor engineers while maintaining strong engineering discipline in real‑world environments.
This is a delivery‑focused role for an experienced engineer and Tech Lead who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.
Leading end‑to‑end delivery of data engineering workstreams; shaping solution approach, setting technical direction, and ensuring outcomes are delivered to a high standard
Designing and building scalable batch and streaming pipelines and operating production systems
Providing technical governance and oversight: design reviews, implementation guidance, risk/issue escalation, and delivery assurance
Building strong stakeholder relationships and operating as a credible client‑facing technical lead
Coaching and mentoring engineers, supporting learning plans, and helping develop capability standards and accelerators
Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms
Developing high‑throughput, low‑latency data processing systems
Working within the Databricks and Apache Spark ecosystem to support large‑scale data workloads
Building and maintaining cloud‑native data solutions on AWS
Using dbt for data transformation, modelling, testing, and documentation
Orchestrating data workflows using Airflow or similar orchestration tools
Writing clean, efficient, and well‑tested code following software engineering best practices
Collaborating closely with product, analytics, and platform teams
Supporting production systems by troubleshooting issues and implementing continuous improvements
Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
Optimising data performance, reliability, and data quality in live environments
8-10 years’ experience in hands‑on data engineering, including technical leadership on production platforms
Experience providing technical governance (design reviews, standards, delivery assurance) and supporting delivery at pace
Comfortable contributing to estimation and commercial discussions and ensuring solutions are feasible and deliverable
Proven ability to mentor and help develop engineers through coaching, feedback, and structured development support
Strong hands‑on coding skills in Python, Java, or similar languages, with strong SQL capability
Proven experience building and operating batch and streaming pipelines in production
Experience with AWS, Databricks / Spark, and modern data architectures
Hands‑on experience using dbt for transformations and Airflow (or equivalent) for orchestration
Solid understanding of data modelling, data quality, and production data systems
Experience working with relational databases such as Postgres or SQL Server
Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling
Nice to Have
Experience enabling ML, AI, or GenAI workloads through strong data foundations
Exposure to modern BI and analytics tooling
Experience working in regulated or security‑conscious environments
Consulting or client‑facing delivery experience
Why Version 1?
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.
And many more exciting benefits… drop us a note to find out more.
Version 1 is an equal opportunities employer.
We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact [recruiter email address] at Version 1. We will consider all requests carefully, respectfully and confidentially.
Version 1 is an equal opportunities employer.
We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity.
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially.
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