
51 - 200 employees
🤝 B2B
☁️ SaaS
🎯 Recruiter
B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
🕒 January 22
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
🤝 B2B
☁️ SaaS
🎯 Recruiter
B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
• Design, build, and maintain a cloud-based data platform that supports analytics, MI, and insight for internal and external stakeholders • Lead the development and optimisation of data pipelines, ensuring they are scalable, reliable, and performant • Own and evolve data models, enabling consistent and trusted reporting across the business • Implement and improve data quality controls, monitoring accuracy, completeness, and reliability • Collaborate closely with data analysts and business stakeholders to translate data requirements into technical solutions • Support the ongoing evolution of data ingestion and integration solutions as the platform scales • Contribute to technical decision-making and best practices across the data engineering function • Play a key role in the transition from Azure-based data services to Google BigQuery, helping shape future architecture
• Strong experience designing and maintaining cloud-based data platforms in a production environment • Proven ability to build and optimise data pipelines and ingestion processes • Solid experience with data modelling for analytics and reporting use cases • Experience implementing data quality frameworks and controls • Background working closely with data analysts and non-technical stakeholders, translating business needs into data solutions • Hands-on experience with cloud data technologies, with exposure to either Azure or Google Cloud platforms • Comfortable working in an environment where the data platform is continuously evolving
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters:Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued
Apply Now🕒 January 20
Azure Data Architect at Exavalu leading the design and implementation of cloud data solutions. This remote role focuses on Azure data architecture and collaboration with business stakeholders.
Azure
Cloud
ETL
Python
Spark
SQL
🕒 December 29, 2025
Technical Data Architect focused on designing and building scalable data solutions for SAP and analytics teams. Managing data models, ML pipelines, and integrating with enterprise systems.
AWS
ETL
Neo4j
🕒 December 11, 2025
Data Engineering Architect in India designing data solutions and overseeing architecture. Collaborating with stakeholders to ensure scalable data processing and governance.
Azure
Cloud
ETL
Hadoop
NoSQL
PySpark
Python
Spark
SQL
🕒 November 21, 2025
Enterprise Data Architect at Aptus Data Labs leading data architecture strategy and digital transformation. Designing data platforms using AWS and Databricks for analytics and AI initiatives.
Airflow
AWS
Cloud
ETL
Kafka
PySpark
Python
Spark
SQL
Unity
🕒 October 31, 2025
11 - 50
Principal Data Engineer responsible for developing big data solutions using Databricks and Azure. Collaborating with CX Data Labs to enhance data engineering processes.
Airflow
Azure
Hadoop
PySpark
Python
SQL