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About the role
Sahaj is looking for an experienced Data Analytics Engineer who combines strong software engineering fundamentals with modern analytics engineering practice. You'll sit at the intersection of data engineering, analytics, and software engineering, building trusted, well-modelled data products that drive decisions, not just dashboards.
What you'll do
- Design and build scalable analytics layers on modern cloud platforms (dbt, Snowflake, Databricks, BigQuery, Redshift)
- Build and maintain semantic/business data models for trusted, self-service reporting
- Develop robust transformation pipelines turning raw data into high-quality data products
- Define and maintain metrics, KPIs, and business logic consistently across use cases
- Apply engineering best practice: version control, CI/CD, automated testing, code review, observability, data quality monitoring
- Translate business requirements into scalable data solutions, working directly with stakeholders
- Partner with data engineers, data scientists, and ML engineers to prepare high-quality datasets
- Advise clients on analytics strategy, governance, and modern data architecture
- Mentor others and contribute to Sahaj's analytics engineering practice
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What you'll need
- Strong software engineering foundation — maintainable, testable, production-grade code
- Background as an Analytics Engineer, Data Engineer, Analytics Consultant, or BI Engineer
- Deep understanding of dimensional and semantic modelling, data warehousing
- Hands-on with dbt plus at least one of Snowflake, Databricks, BigQuery, Redshift
- Strong SQL at scale; working familiarity with Python
- Experience with testing, documentation, and governance in analytics workflows
- Cloud experience (AWS, Azure, or GCP)
- Strong stakeholder management — comfortable leading workshops and discovery sessions
Nice to have
- Semantic layers, data contracts, metrics frameworks
- Data governance, MDM, cataloguing
- Looker / Power BI / Tableau
- ML workflow or feature engineering exposure
- Consulting background, product-centric agile delivery
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What makes someone succeed here
Treats analytics as an engineering discipline, not a reporting function. Cares about data quality and long-term maintainability. Comfortable challenging assumptions to help clients make better decisions. Thrives in ambiguity, balances strategic thinking with hands-on delivery, enjoys mentoring.
Why Sahaj
Flat structure, radical pay transparency, unlimited leave, and the chance to work across domains with strong engineers, without the politics of a traditional hierarchy.
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 paid by Sahaj
- No hierarchy
- Open Salaries
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