About the Job

Excelya is looking for a dedicated Data Analyst R&D to join our dynamic Research and Development team. In this role, you will play an essential part in transforming complex data into actionable insights that drive our innovative projects and strategies.

As a Data Analyst, you will collaborate with cross-functional teams to analyze and interpret data from clinical trials, enabling informed decision-making and advancing our mission to improve patient outcomes.

Main Responsibilities:

• Create data visualization solutions.
• Define, specify, build, and/or improve:
• Data structures necessary for storage and analysis: core models, business views, and ad hoc tables (in DBT).
• Reports, dashboards, and data visualizations.
• Unit tests and validation on data preparation, reports, and dashboards.

Deliverables:

• Data preparation: core models, business views, and ad hoc tables (specifications + development and feeding of structures).
• Data analysis and visualization: Data Report, Dashboard, Scoring board, etc.
• Validation reports.

Requirements

About You

We are looking for passionate individuals who thrive in a collaborative environment and are eager to contribute to impactful projects.

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.

Quento Technologies seeks a highly motivated and experienced AI/GenAI - ML Engineer for build and maintain scalable and efficient machine learning pipelines. At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment fosters professional growth at every stage.

Your responsibilities will entail:

InfyStrat is looking for a proficient Data Engineer to strengthen our data team. In this role, you will be integral in designing and implementing data pipelines that facilitate the efficient extraction, transformation, and loading (ETL) of data across various platforms. You will collaborate with data analysts, scientists, and business units to provide reliable and accurate datasets to drive decision-making processes. The ideal candidate should possess a combination of technical proficiency and creativity to solve complex data challenges. We foster a culture of innovation at InfyStrat, where the contributions of our team members are essential to transforming our data into valuable insights. Join us to help build data solutions that empower our business growth.

Key Responsibilities

• Design, implement, and manage ETL processes to collect and transform data from diverse sources.
• Develop and maintain data models, ensuring they meet business needs and performance requirements.
• Optimize database performance and troubleshoot data-related issues.
• Collaborate with stakeholders to identify data needs and develop solutions accordingly.
• Implement data quality monitoring and validation to maintain data integrity.
• Keep up with industry trends and emerging technologies to continually enhance data engineering practices.

Requirements

With more than 20 years of proven experience, QUALCO Group is a leading Fintech solutions provider, offering a wide range of analytics-driven, highly scalable enterprise software solutions in over 35 countries worldwide. Our end-to-end technology solutions cover a wide range of needs for Banking, Financial Services, Utilities, Insurance, Retail organizations, and beyond.

We are looking for a Data Architect for the development of architectural artefacts and the provision of expert guidance, with an emphasis on supporting the team in responding to shifting priorities and delivering value across priority initiatives.

Responsibilities:

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 Staff Data Engineer in Atlanta, GA.

This role is ideal for an experienced data engineering professional eager to take a leadership position in shaping high-impact data infrastructure. As a Staff Data Engineer, you will architect and maintain scalable, reliable pipelines and cloud-based platforms to enable data-driven decisions across the organization. You’ll collaborate with cross-functional teams including analytics, DevOps, and data science to build innovative solutions, integrate APIs, and optimize real-time and batch data flows. The ideal candidate has deep technical expertise, a mentorship mindset, and a passion for creating efficient, production-grade systems that support continuous innovation.

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 LATAM.

We are seeking a highly experienced Senior Data Engineer who thrives in a collaborative, high-performance environment and is passionate about building robust, scalable data systems. You will work at the core of the engineering team, designing and maintaining complex backend systems and data pipelines that power mission-critical applications. This is a hands-on position involving everything from architecture to deployment and performance tuning. If you enjoy working with big data technologies, functional programming, and solving technical challenges across cloud environments, this is your opportunity to drive impact in a fast-paced, product-oriented team.

Accountabilities:

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 multiple Fortune 500 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 global analytics 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

Key Responsibilities:

Data Integration:

Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.

Support Data Modeling:

Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.

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 data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 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 global analytics consulting team in the world.

As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.

Key Responsibilities:

InfyStrat is seeking a dedicated Data Engineer to join our data team and contribute to the development and maintenance of our robust data infrastructure. In this role, you will be responsible for designing, constructing, and optimizing data pipelines that ensure the seamless flow of data across our systems. You will work closely with data scientists, analysts, and business stakeholders to understand their data needs and provide solutions that meet those requirements. The ideal candidate will have a strong background in data engineering principles and practices, along with experience in modern data processing tools and technologies. At InfyStrat, we believe in fostering a culture of innovation and collaboration, where your contributions will have a meaningful impact on our business and data strategy. If you are passionate about building data solutions and eager to grow your career, we invite you to apply.