Data Engineering Lead

Version 1

Mumbai

Hybrid

INR 4,000,000 - 7,000,000

Full time

14 days+

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Benefits offered by this job

Quarterly Profit Share

Career progression & coaching programs

Flexible/remote working

Educational assistance (AWS, Microsoft

Private healthcare & Life insurance

Job summary

Version 1 is seeking 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 and mentor engineers while maintaining strong engineering discipline.

This is a delivery-focused role for an experienced engineer who enjoys solving complex data challenges, owns outcomes, and applies strict engineering discipline in real-world

Qualifications

8+ years of hands-on data engineering with production platform leadership.
Depth across batch/streaming pipelines, data quality, Databricks governance, real-time processing, and security.
Ability to design solutions, explain trade-offs, and own full lifecycle delivery.
Experience in enterprise-scale environments with large data volumes.
Comfort working with multiple stakeholders and contributing to estimations.

Responsibilities

Lead end-to-end delivery of data engineering workstreams and set technical direction.
Design and build scalable batch and streaming pipelines and operate production systems.
Provide governance, reviews, risk escalation and delivery assurance.
Coach engineers, develop capability standards, and accelerators.
Partner with stakeholders to build reliable, scalable data platforms.
Develop high-throughput, low-latency data processing capabilities.
Work with AWS, Databricks/Spark and dbt for transformations and orchestration.

Skills

Python

Java

SQL

Data pipelines

AWS

Databricks

Spark

Airflow

dbt

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

SQL Server

Job description

Company Description

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.

Company Description

The Role

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.

What You’ll Be Doing

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

Job Description

8+ years’ experience in hands‑on data engineering, including technical leadership on production platforms
We were looking for stronger hands‑on technical depth across areas such as building production‑grade data pipelines, data quality and validation, Databricks governance/access management, real‑time processing, and data security.
We were looking for practical experience in designing solutions, explaining technical decisions and trade‑offs, and solving complex data engineering problems.
Candidates who have influenced design and technical decisions with trade offs and rationale.
Clear, hands‑on involvement and ownership across the full lifecycle from design, implementation, testing, Security, Governance, deployment, production support.
Enterprise‑scale environments, large data volumes (between 10s to 100s TBs ),
Comfortable working with multiple stakeholders (BAs, Architect, Data Scientist, end user).
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

Qualifications

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

Additional Information

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.

Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits
Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
Reward schemes including Version 1’s Annual Excellence Awards & ‘Call‑Out’ platform.
Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.

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 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.

Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo

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