SERVICENOW Business Consultant

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.

You’re a mid-level engineer who enjoys breadth, you're comfortable writing Python backends, curious about AI, and not afraid of data pipelines. You don't need to be an experienced in everything yet but you're motivated to grow across all three areas. You like picking up new tools quickly, you communicate well, and you get things done.

The role

You’ll be working on our Managed Cloud Compliance product, a platform that collects, transforms and reports security and compliance data from Azure, AWS, and GCP environments. Your work will span three areas:

• Python backend development, building and maintaining the services and APIs that power the platform;
• Agentic AI & AI-assisted development, working with modern AI tooling (including Claude Code, MCP, OpenAI SDK, and similar technologies) to build intelligent, automated workflows and solutions;
• Data engineering, designing and maintaining data pipelines that turn raw cloud data into actionable compliance insights.

This is a role with a wide scope and real room to grow. We're a team that actively explores and adopts new technologies, so if you like staying on the edge, you’ll fit right in.

What You will do:

• Develop and maintain Python backend services and data pipelines;
• Build and iterate on agentic AI solutions as part of our product;
• Collect, transform, and model data from cloud platforms (Azure, AWS, GCP);
• Collaborate with security, compliance, and platform engineers across the team;
• Contribute ideas, there's room to shape how things are built here.

What we are looking for:

• Some exposure to data engineering concepts, pipelines, SQL, and data transformation;
• Curiosity about AI and agentic systems; hands‑on experience is a plus, not a must;
• Familiarity with at least one public cloud environment (Azure preferred);
• Good communication skills in English and Lithuanian;
• A growth mindset - you’re motivated to develop across backend, AI, and data.

Nice to have:

• Experience with data tools like Databricks or similar;
• Familiarity with AI development tools (LLM APIs, MCP, Claude Code, or similar).

What You can look forward to:

• Becoming a part of a very specialized team that will support your ability to succeed;
• A challenging and exciting career with an international perspective and opportunities;
• Attractive compensation package with a mix of fixed and variable;
• High level of trust and competency to make your own decisions;
• A warm and talented culture with a focus on business, but knowing that family always comes first;
• Access to an international network of specialists within the organization to build your rep and skills;
• Salary from 4000 EUR gross (depending on the experience and competencies).

• Provide support to stakeholders filling the risk cards;
• Review and challenge content of the risk cards to ensure they meet expected quality;
• Design and continuous improvement of the action plan follow‑up;
• Ensure actions plans are formalized with all needed information;
• Follow‑up and reporting (figures, alerts,…) of risks register entries and action plans in order to provide an accurate and up‑to‑date risk view and Assist in reporting and preparation of regular Function/Metier/Region IT risk and control committees.

Design and implement the data governance framework , operating model, and roles and responsibilities.

Dev