At a Glance
- Tasks: Design and build scalable analytics layers on modern cloud platforms.
- Company: Sahaj, a flat-structured tech company with a culture of trust and transparency.
- Benefits: Unlimited leave, competitive pay, and opportunities to work with top engineers.
- Other info: Collaborate in a dynamic environment with excellent mentorship opportunities.
- Why this job: Make impactful decisions by transforming raw data into high-quality products.
- Qualifications: Strong software engineering skills and experience with analytics tools.
The predicted salary is between 60000 - 80000 £ per year.
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, Big Query, 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
- 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, Big Query, 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
- Looker / Power BI / Tableau
- ML workflow or feature engineering exposure
- 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
- #J-18808-Ljbffr
Data Analytics Engineer employer: Sahaj Software
Sahaj is an exceptional employer that fosters a culture of trust, respect, and transparency, making it an ideal place for a Data Analytics Engineer to thrive. With a flat structure and radical pay transparency, employees enjoy unlimited leave and the opportunity to collaborate with top industry talent, ensuring meaningful work and professional growth. The company prioritises data quality and long-term maintainability, empowering its engineers to challenge assumptions and drive impactful decisions.
