Senior Data Engineer (Contract, Full-Time) [HR208]

Smart Working; Mumbai; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Smart Working is a remote-first company removing geographic barriers to connect skilled professionals with global teams for full-time, long-term roles. The Senior Data Engineer will lead the data infrastructure powering an AI assistant for property managers and letting agents, handling real-time pipelines, analytics, vector databases, and ML workflows.

You will define data architecture, tooling, standards and hiring bar as the first senior data hire, partnering with founders to translate data

Qualifications

• 7+ years in data engineering or related roles.
• Experience designing data pipelines and distributed data systems.
• Proficiency with relational databases (PostgreSQL preferred).
• Experience with NoSQL and vector databases.
• Strong Python programming and data-processing libraries.
• Ability to justify architectural decisions and lead backend systems.
• Experience with Spark, Airflow, Kafka, Elasticsearch/OpenSearch is desirable.

Responsibilities

• Architect and build scalable data pipelines and infrastructure for AI and product systems.
• Design and maintain ingestion, transformation, and storage for operational workloads.
• Develop batch and real-time data pipelines and data models.
• Build and optimise vector search and ML data pipelines.
• Ensure data reliability, security and governance across the platform.
• Collaborate with AI and backend teams to support training and inference.
• Implement monitoring, observability and data quality frameworks.
• Drive long-term data strategy and act as founding data hire.

Skills

Python

Data pipelines

Distributed data systems

Architectural decisions

Backend systems

Pandas/Polars

Data modelling

PostgreSQL

NoSQL

Vector databases

Apache Spark

Apache Airflow

Kafka

Elasticsearch/OpenSearch

Tools

PostgreSQL

MongoDB

Vector databases (Qdrant Milvus pgvector)

Apache Spark

Apache Airflow

Kafka

Elasticsearch/OpenSearch

Job description

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role

As a Senior Data Engineer, you will build and lead the data infrastructure powering an intelligent AI assistant that automates operational workloads for property managers, letting agents and build-to-rent teams. The platform manages communications, compliance, maintenance coordination and scheduling, helping property businesses operate with the efficiency of modern digital platforms.

You will architect and scale the systems behind the AI products, spanning real-time data pipelines, analytics infrastructure, vector databases and machine learning data workflows. Working closely with AI engineers, backend engineers, product teams, founders and product leadership, you will ensure the platform can process large volumes of operational data reliably and intelligently.

As the first senior data hire, you will define the data architecture, tooling, engineering standards, culture and hiring bar, building the foundations of the future data team.

About Smart Working

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role

As a Senior Data Engineer, you will build and lead the data infrastructure powering an intelligent AI assistant that automates operational workloads for property managers, letting agents and build-to-rent teams. The platform manages communications, compliance, maintenance coordination and scheduling, helping property businesses operate with the efficiency of modern digital platforms.

You will architect and scale the systems behind the AI products, spanning real-time data pipelines, analytics infrastructure, vector databases and machine learning data workflows. Working closely with AI engineers, backend engineers, product teams, founders and product leadership, you will ensure the platform can process large volumes of operational data reliably and intelligently.

As the first senior data hire, you will define the data architecture, tooling, engineering standards, culture and hiring bar, building the foundations of the future data team.

Responsibilities

• Architect and build scalable data pipelines and infrastructure to support AI and product systems.
• Design and maintain data ingestion, transformation and storage architectures for operational and AI workloads.
• Develop and manage batch and real-time data pipelines.
• Build and optimise systems for vector search, retrieval and machine learning data pipelines.
• Ensure data reliability, security and governance across the platform.
• Collaborate with AI and backend engineering teams to support training, inference and product features.
• Implement monitoring, observability and data quality frameworks.
• Optimise the performance of large-scale datasets and query systems.
• Contribute to technical architecture decisions and long-term data strategy.
• Act as the founding data hire, defining culture, standards and the hiring bar for the data function as it scales.
• Partner directly with founders and product leadership to translate data capabilities into product decisions.

Requirements

• 7+ years of professional experience, with the majority of that experience in dedicated data engineering roles.
• Strong experience designing and building data pipelines and distributed data systems.
• Experience working with relational databases, with PostgreSQL preferred, although MySQL or similar is acceptable.
• Experience working with NoSQL databases.
• Experience with vector databases used in modern AI systems.
• Strong programming experience in Python.
• Demonstrated ability to make and justify architectural decisions, rather than only implementing them.
• Experience building scalable backend systems.
• Experience designing data models and storage architectures.
• Strong understanding of data processing performance and optimisation.
• Experience with some of the following data frameworks and infrastructure technologies is highly desirable: Apache Spark, Apache Airflow, Kafka, and Elasticsearch or OpenSearch.
• Experience with relevant database technologies is highly desirable, including PostgreSQL, MongoDB, and vector databases such as Qdrant, Milvus or pgvector.
• Experience with Python data-processing libraries such as Pandas or Polars is highly desirable.

Nice to Have

• Experience working on AI or machine learning platforms.
• Familiarity with stream processing and event-driven architectures.
• Experience with cloud infrastructure such as GCP, AWS or Azure.
• Experience working in high-growth startups or early-stage companies.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.