About DSI

Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency.

At DSI, we believe strong relationships are the foundation of lasting success. We serve as a one-stop solution across a range of markets—including mobility, broadband, video, commercial, residential, Lodging & Institutions, and Multi-Dwelling Units—empowering our sales partners to uncover new opportunities and maximize their potential.

Role Summary

We are seeking a Business Intelligence (BI) Developer to join our Data and Analytics department. This role is critical for transforming raw data into actionable business insights through complex analysis, mining, and visualization. You will work closely with team leaders to understand the nuances of DSI’s business, ensuring we capture, report, and act on data related to customer and operational performance.

Key Responsibilities

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking an experienced Lead Consultant / Project Manager to drive the delivery of strategic data and AI-powered solutions for a leading financial services client. This role combines consulting, business analysis, product strategy, and project leadership, requiring close collaboration with business stakeholders, technical teams, and executive sponsors.

The ideal candidate will have a strong background in Wealth Management, Insurance, or Financial Services and possess the ability to translate complex business workflows into scalable digital products and analytics solutions.

About the Role

We are seeking an experienced Senior Databricks Data Quality Engineer to lead the design, implementation, and automation of enterprise-scale data quality frameworks within a Databricks environment. The successful candidate will play a key role in establishing data quality controls, profiling frameworks, remediation processes, and AI-assisted quality monitoring across a large-scale data platform consisting of 170+ datasets and over 1,300 Critical Data Elements (CDEs).

This role requires strong expertise in Databricks, PySpark, Delta Lake, MLflow, and modern data quality management practices.

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 seasoned analytics leader to drive advanced data science initiatives within the commercial pharma space. This role will focus on building and scaling Next Best Action (NBA) frameworks and omnichannel engagement strategies to enable personalized HCP and patient journeys, improve commercial effectiveness, and drive business impact.

Responsibilities

We are hiring on behalf of our client, an elite, venture-backed digital asset infrastructure firm who is seeking a strategic and highly autonomous Founding Data Lead. Backed by top-tier Web3 investors including Paradigm and Dragonfly, the client is building foundational, institutional-grade stablecoin infrastructure and full-service platforms to transform how global value moves.

As the Founding Data Lead, the successful candidate will build the organization’s data and analytics function from the ground up. This role offers high visibility and immense autonomy, with ownership over how data is defined, structured, and utilized across every facet of the business. By mapping data across the entire stack—encompassing onchain, product, financial, and operational data—this individual will translate raw behavioral and transactional metrics into actionable insights that directly shape product development, investment strategies, and growth trajectories.

Key Responsibilities

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 with expertise in Dataiku 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. 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

Location: Eastern or Western Europe only.

Remote | Full-time

Compensation: €60K–€80K EUR

We are hiring on behalf of our client who is seeking a skilled Software Engineer - Backend & Data. The organization analyzes over 20 billion search signals to predict the next major consumer trends, enabling brands to optimize their marketing and product development strategies.

In this role, the successful candidate will help design and implement the next iteration of the data pipeline, storage solutions, and APIs backing a high-traffic SaaS platform. This is a remote, full-time contractor position open to qualified candidates located within Europe, operating with a high degree of autonomy.

Key Responsibilities

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.

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?

We are looking for a hands-on Senior/Lead Data Engineer with strong expertise in Data Quality to help shape and scale our modern data ecosystem and enable data-driven, AI-centric applications across the organization. 

As a member of the broader AI team at Navarino, this role will work closely with engineering and business stakeholders to design and build trusted, scalable, and well-governed data platforms that support analytics, operational reporting, machine learning, and next-generation AI solutions. 

The ideal candidate brings strong data engineering expertise, a passion for data quality and governance, and a commitment to driving best practices across the entire data lifecycle.

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.