SERVICENOW Senior Business Consultant

Data / AI Engineer

For a prestigious customer - we are looking for dedicated Data / AI Engineers (Lead Engineer and seniors to leverage their extensive experience in Data engineering, AI and public cloud areas, to interpret our customers’ business and technical requirements in order to extract the value from their data, using Dataiku and GCP products and services as well as other industry-known technologies.

In this position you will:

• work as part of the Data & AI Factory team, working with the customer to support their data-ops and AI projects
• be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations
• help to build, maintain and troubleshoot data observability solutions to improve data quality
• help turn data into valuable business insights, preparing custom solutions optimised for each client
• act as a trusted advisor for junior team members
• lead by example

Note: this position may require on-call work, including overnight and weekend availability.

We are seeking a highly analytical and proactive QA & Test Operations Consultant to join our project team. In this role, you will be the bridge between technical development and business requirements, ensuring that every solution delivered meets the highest standards of quality and client satisfaction. You will be responsible for the end-to-end testing lifecycle—from defining acceptance criteria to managing defect resolution—within an Agile environment.

As the lead for test operations, your primary focus will be ensuring the integrity of our software solutions. Your core deliverables include:

• Test Strategy & Acceptance: Develop, document, and operationalize comprehensive test acceptance criteria (UAT) to ensure all features align with business goals.
• Requirement Validation: Methodically ensure the thorough testing of all customer requirements, leaving no stone unturned in the functional and non-functional specifications.
• Defect Management: Oversee the lifecycle of errors and bugs detected during testing, ensuring they are correctly identified, logged, prioritized, and resolved by the development team.
• Process Optimization: Utilize Agile and Scrum methodologies to streamline testing workflows and improve speed-to-market without compromising quality.

• Participate in change management , which involves collaborating with different teams.
• Excellent verbal and written communication skills, including the ability to translate complex technical concepts into understandable terms.
• Adaptable and flexible attitude, capable of performing well under pressure.
• Commitment to a continuous improvement culture.
• Keep documentation up to date: document the components and operations of the applications.
• Control load capacity for the applications;
• Contribute consistently to the continuous automation and improvement of existing procedures;
• Work closely with the development teams on defining the architecture of new applications, according to the infrastructure standards;
• Manage backup data and ensure regular restoring tests.

Play a key role in designing and implementing data models that support the client's data-driven initiatives.

As a Data Modeler, you will work closely with the data architects, data analysts, and business stakeholders to understand their data requirements and translate them into logical and physical data models. You will also be responsible for ensuring the accuracy, completeness, and consistency of the data models, as
maintaining their documentation and metadata. Your expertise in data modeling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.

What you will do:

• Architecture &
  
  Collaboration:
  
  Collaborate closely with architects and stakeholders to translate business needs into scalable, secure, and efficient technical solutions;
• Implementation & Maintenance: Deploy, configure, and maintain Microsoft 365 solutions as well as on-premises infrastructure to ensure high availability and performance;
• Migration…