Lead Data Engineer

About the role

As a Data Engineer, you’ll feel at home if you are hands on, grounded, opinionated and passionate about delivering comprehensive data solutions that align with modern data architecture approaches. Your work will range from building a full data platform to building data pipelines or helping with data architecture and strategy. This role is ideal for those looking to have a large impact and huge scope for growth, while still being hands on with technology. We aim to allow growth without becoming “post-technical”

Responsibilities

• Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems
• Build frameworks and supporting tooling for data ingestion from a complex variety of sources
• Consult with our clients on data strategy, modernising their data infrastructure, architecture and technology
• Model their data for increased visibility and performance
• You will be given ownership of your work, and are encouraged to propose alternatives and make a case for doing things differently; our clients trust us and we manage ourselves.
• You will work in short sprints to deliver working software
• You will be working with other data engineers in Sahaj and work on building Data Engineering capability across the organisation

Skills you’ll need

• Demonstrated experience as a Senior Data Engineer in complex enterprise environments.
• Deep understanding of technology fundamentals and experience with languages like Python, or functional programming languages like Scala
• Demonstrated experience in design and development of big data applications using tech stacks like Databricks, Apache Spark, HDFS, HBase and Snowflake
• Commendable skills in building data products, by integrating large sets of data from hundreds of internal and external sources would be highly critical
• A nuanced understanding of code quality, maintainability and practices like Test Driven Development
• Ability to deliver an application end to end; having an opinion on how your code should be built, packaged and deployed using CI/CD
• Understanding of Cloud platforms, DevOps, GitOps, Containers

Give yourself an opportunity to

• Experience a culture of trust, respect and transparency powered by holacracy.
• An environment that will allow you to hone your craft.
• Collaborate with multi-disciplinary teams to solve some real business problems.
• Solve problems across different domains. Level-up on difficult problems.
• Find your balance between work and life’s ups and downs with unlimited leave when you really need it.
• Not be exploited, as everyone knows everyone’s salary. Radical pay transparency.
• Own what you build. When Sahaj grows in impact and value, you’ll have a share in that upside.

What will you experience in terms of culture at Sahaj?

• A culture of trust, respect and transparency
• Opportunity to collaborate with some of the finest minds in the industry
• Work across multiple domains

What are the benefits of being at Sahaj?

• Unlimited leaves
• Life insurance & private health insurance
• No hierarchy
• Open Salaries

This Lead Data Engineer role focuses on delivering modern data platforms, pipelines, and architecture for complex client environments. You’ll work hands-on with data and engineering teams to build production-ready systems, advise on infrastructure and strategy, and contribute to data engineering practices across the organization.

Role at a glance

Skills mentioned

What you will likely work on

• Build data platforms, pipelines, and supporting ingestion tools for varied data sources.
• Partner with data scientists and engineers to deliver production-quality AI and machine learning systems.
• Advise clients on data strategy and modernization of infrastructure, architecture, and technology.
• Model data to improve visibility and performance.
• Develop data products that integrate large datasets from internal and external sources.
• Deliver end-to-end applications, including decisions about packaging, deployment, and CI/CD.
• Work in short delivery sprints and contribute to data engineering capability across the organization.

Good fit signals

• You have demonstrated senior data engineering experience in complex enterprise environments.
• You can work hands-on across data architecture, pipeline development, and end-to-end delivery.
• You bring strong technology fundamentals and experience with Python or a functional language such as Scala.
• You have built big data applications and integrated data from many internal and external sources.
• You value maintainable code, testing practices, and close collaboration with clients and multidisciplinary teams.