About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Software Engineer - Data Engineering in India.

This role offers an exciting opportunity for a seasoned data engineer to design, build, and optimize robust, scalable data pipelines that support AI-driven analytics and large-scale data processing. You’ll work with technologies such as Apache Spark, Kafka, and Databricks to develop real-time and batch solutions, integrate machine learning models, and contribute to the company’s growing data infrastructure. Collaboration with cross-functional teams including data science and product engineering will be key as you build systems that drive innovation and performance across a global user base.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Engineer in Poland.

This is an exciting opportunity to be part of a forward-thinking team working on a data-driven product designed to transform financial management for users across the globe. You’ll be joining a dynamic, fast-paced environment where innovation and autonomy are encouraged, and your work will have a direct impact on the development of a modern data platform. As a Data Engineer, you'll take ownership of scalable data pipelines, implement cloud-based solutions, and help shape the foundation for advanced analytics and machine learning use cases.

Accountabilities:

• Design, build, and maintain a modern cloud-based Data Platform.
• Develop scalable and efficient pipelines for data ingestion and processing from various sources.
• Collaborate with cross-functional teams to support data-driven decisions and product innovation.
• Ensure high standards of data observability, quality, and reliability across the ecosystem.
• Contribute to AI/ML data infrastructure and support experimentation workflows.
• Drive improvements in orchestration, cloud resource management, and data operations.

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for an IS Data Engineer based in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

As an IS Data Engineer, you will play a crucial role in powering data-driven decision-making across the organization. You'll be responsible for building and optimizing robust data pipelines that transform raw data into curated, high-quality datasets for analysts, data scientists, and other business stakeholders. Your work will help automate and streamline the flow of data, ensuring it is both accessible and secure while enabling advanced analytics and machine learning. This is a highly collaborative role that involves working with multiple teams to meet emerging data needs and support business goals through innovative data engineering solutions.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Data Engineer in India, Thailand, Malaysia, Indonesia, Philippines.

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based platforms to support data-driven decision-making across the organization. Working with cross-functional teams, you’ll bridge the gap between business needs and technical execution, ensuring high-quality data solutions. This role is ideal for someone who thrives in optimizing data systems and is passionate about leveraging data for impactful business outcomes.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Engineer in India.

This is an opportunity to join a growing and dynamic team focused on building a modern, scalable, and efficient data infrastructure using Databricks. In this role, you’ll design and maintain robust data pipelines and drive data integration from multiple business platforms into a centralized warehouse. You'll collaborate closely with cross-functional teams to create solutions that support analytical insights and strategic decisions across the organization. If you’re passionate about cloud data platforms, ETL processes, and driving business impact through data, we’d love to hear from you.

Accountabilities:

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth. 

We are looking for passionate Senior Solution/Data Architect to join our team and collaborate closely with our customers in the domestic and international public sector IT projects.

A Day in the Life of a Senior Solution/Data Architect will include:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, Big Data and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are working on building the best analytics consulting company in the world.

We are currently seeking a dynamic and experienced Recruiter to join our Talent acquisition team.

Responsibilities:

Talent Acquisition:

• Execute end-to-end recruitment processes, from sourcing and screening to interviewing and onboarding.
• Identify and attract top talent through various channels, including job boards, social media, and professional networks.

Candidate Relationship Management:

• Build and maintain strong relationships with candidates throughout the recruitment process.
• Provide a positive candidate experience and act as the main point of contact for candidates.

Collaboration with Hiring Managers:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

"Transformeer data als een ware meester - als senior data engineer, ben jij de alchemist die data omzet in goud!" 

Join the Journey

Wat ga je doen? 

Als Data Engineer bij ons bedrijf ben je verantwoordelijk voor het ontwerpen, ontwikkelen en implementeren van robuuste Data & AI oplossingen. Je bent een technische expert met een scherp oog voor detail en een diepgaande kennis van Data-Engineering principes en Cloud Infrastructuren. In het Data & AI team bouw je end-to-end data-oplossingen. Dit omvat het verzamelen en opslaan van ruwe data, het implementeren van geavanceerde analytische modellen en het optimaliseren van data-architecturen voor maximale prestaties en schaalbaarheid. Daarnaast analyseer je klantbehoeften en doelstellingen om inzicht te krijgen in de gewenste dataoplossingen.  

• Ontwikkelen en implementeren van data platformen; 
• Samenwerken met het team en de klant om technische specificaties te definiëren en te documenteren;  
• Ontwikkelen en implementeren van data pipelines;  
• Optimaliseren van data-architecturen voor maximale prestaties en schaalbaarheid. 

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.

Requirements

• Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.

• AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.

• AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).

• DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.

• Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.

Benefits