Top Tech Jobs & Startup Jobs

Lead the development of backend systems using .NET Core within a microservices architecture while mentoring junior engineers and driving project success.

The Go-to-Market Propositions Lead will develop sales-ready media solutions, shape market strategies, and enhance commercial impact through collaboration across teams.

Support clients to implement and validate dunnhumby data platforms and software. Perform data exploration and assessment, answer data inquiries, troubleshoot data provider issues, outline data roadmaps, and collaborate with client leadership to ensure data solutions meet requirements.

Design and architect scalable end-to-end data solutions (data lakes/warehouses, ETL/ELT, APIs), build low-latency pipelines, automate workflows with orchestration tools, implement data governance and quality, lead technical design reviews, and ensure security and compliance across cloud-native data platforms.

Lead modernization of the digital workplace across Microsoft 365 E5 and endpoint ecosystems. Design and operate Entra ID, Intune, Defender, Purview, Teams, SharePoint and device management. Build automation, IaC, Power Platform solutions, Power BI reporting and Copilot Studio agents. Drive Copilot adoption, ensure AI governance and compliance, provide third-line support, root-cause analysis and technical leadership to improve user experience and operational consistency.

The Senior Category Management Consultant will lead project delivery involving multiple stakeholders, build client relationships, and embed customer solutions into decision-making processes for Tesco.

As an intern at dunnhumby, you'll work on a project with real business impact, showcasing your skills in a collaborative environment while learning and presenting your findings to leaders.

Design, develop, implement and deploy advanced machine learning and statistical models to solve client problems. Collaborate with stakeholders, communicate results clearly, and ensure data science work translates to measurable customer impact.

Develop and maintain big data pipelines and ETL workflows using Python and PySpark. Work with Spark, Hadoop ecosystem tools, orchestration (Airflow/Oozie), Linux shell scripting, Git, and RDBMS to implement scalable data flows and automation within the Data Engineering team.

Manage a small engineering squad to deliver data-driven software solutions against OKRs. Drive CI/CD, delivery processes, cross-squad integration, data pipeline and metadata governance, measure delivery velocity, mentor engineers, manage resources and risk, and implement data quality and monitoring practices.