IG

InterEx Group

Source d’offres vérifiéeAgence de recrutement

London, England

Staffing and Recruiting
51 à 200 personnes

À propos

InterEx Group is becoming the strategic partner of choice for organizations undergoing digital, business, and technology transformation. We act as a true extension of our clients, embedding ourselves within their teams and offering flexible, effective delivery models built around specialized, outcome-driven squads. Our unique approach has always been guided by one question: what does the market truly need? By focusing on market trends and addressing the gaps left by traditional players, we’ve built solutions that enable our clients to scale faster, deliver more effectively, and achieve tangible results. We operate across three core delivery models: SOW T&M SOW to Hire POD / Incubating POD / Integrated Team With over a decade of experience, InterEx Group is on a mission to redefine how businesses access and deploy technical expertise. We deliver project-driven and outcome-based solutions across Data, ERP, and CRM, helping organizations scale and transform their technology programs with speed, precision, and confidence. Combining deep industry knowledge with a global delivery capability, we ensure the right expertise is available wherever and whenever our clients need it. With offices in London, Miami, Amsterdam, Gurgaon, São Paulo, and Cape Town, we provide a true 24/7 global service, connecting businesses worldwide with the resource required to deliver their most critical transformation initiatives.

Postes ouverts

Business Analyst

Télétravail · United States, Canada

The Business Analyst will analyze large datasets stored in AWS environments and build reports and dashboards using Grafana. They will translate operational data into business narratives and help quantify outcomes such as efficiency gains and ROI.

Senior Data Engineer

Télétravail · Canada

The Senior Data Engineer / Data Architect will play a key role in migrating and modernizing data platforms. This includes moving from Snowflake and legacy databases to a new Fabric-based ecosystem.