About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers. 

What will you be doing?

The Data Quality Lead is responsible to ensure our data pipelines deliver reliable, high-quality, and well-governed data that enable scalable analytics and AI solutions across the enterprise. This role bridges data engineering, governance, and analytics, focusing on building trust in data assets, enforcing quality standards, and enabling secure, governed access to data for business users, data scientists, and machine learning models.

Responsibilities

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking a highly experienced and client-facing Solution Architect to serve as the senior technical leader for a critical Enterprise Data Platform (EDP) initiative. This role is responsible for driving the successful end-to-end migration of complex source system data into our new, highly governed platform built on AWS and Snowflake.

Key Responsibilities

Lead the technical discovery, design, and planning phases, effectively translating complex client business needs and requirements into detailed architectural blueprints and robust technical specifications.

Design and document the end-to-end data flow and pipeline orchestration, from various source system ingestion patterns (batch and streaming) to the final curated Gold Layer models, primarily utilizing AWS Redshift.

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers. 

What will you be doing?

As the Head of Data & AI, you will play a transformational role at the heart of our business strategy. You’ll help define and drive our enterprise-wide data and AI vision, ensuring that we unlock the full potential of our information assets to create measurable business impact.

In this pivotal leadership role reporting directly to the CTO, you will:

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.

This role will be responsible for Databricks Architecture, Designing and implementing best data practices.

Requirements

• Strong Experience in Data Architecture, specifically with Databricks Architecture.
• Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg.
• Strong MLOps & CI/CD Expertise
• Proficient in Python/Scala (Spark) for data governance, security, and enterprise data platform design.
• Databricks certifications and GenAI architecture experience preferred.

Key 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 Data Documentalist / Data Governance in Portugal or Spain.

In this role, you will be integral to the creation and enhancement of the client's Data Catalog. Your primary focus will be ensuring the completeness and accuracy of the Data Dictionary, Business Glossary, Data Lineage, and other crucial data governance components. You will work closely with various stakeholders to gather technical documentation, analyze data structures, and maintain strong governance practices to ensure compliance and consistency in data management. This is a remote opportunity that allows you to contribute to impactful projects while ensuring data quality and integrity across the organization.

Accountabilities:

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, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role: