We are looking for dedicated Data / AI Engineers with extensive experience in Data engineering, AI, and public cloud areas to interpret our customers’ business and technical requirements and extract value from their data using Dataiku, GCP products and services, and other industry‑known technologies.
In this position you will:
- Work as part of the Data & AI Factory team, collaborating with the customer to support their data‑ops and AI projects.
- Design, build, maintain, and troubleshoot data pipelines, models, and transformations.
- Build, maintain, and troubleshoot data observability solutions to improve data quality.
- Turn data into valuable business insights, preparing custom solutions optimized 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.
Solution Sales Executive – Google CloudDrive new business acquisition and revenue growth by selling comprehensive Google Cloud consulting services and solutions, focusing on professional services.
What you’ll do:
- Develop and execute a strategic sales plan: target key accounts, identify opportunities, and build a strong pipeline to achieve quotas and revenue targets.
- Become a trusted advisor: conduct in‑depth needs assessments, understand client challenges, and position Devoteam as the go‑to partner for Google Cloud solutions.
- Deliver compelling sales presentations that showcase the value proposition of our Google Cloud offerings, emphasizing our expertise in professional services.
- Collaborate with technical consultants to design and propose tailored solutions that address client requirements, ensuring seamless project delivery.
- Negotiate and close deals: secure favorable terms and conditions, maximizing revenue and profitability while building long‑term client relationships.
- Stay ahead of the curve: maintain a deep understanding of the evolving Google Cloud ecosystem, including new products, services, and market trends.
You are a mid‑level engineer who enjoys breadth, is comfortable writing Python backends, curious about AI, and not afraid of data pipelines. You are motivated to grow across backend, AI, and data, communicate well, and 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.
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, with 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).
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 of risk register entries and action plans; assist in reporting and preparation of regular function, métier, region IT risk and control committees.
Data Governance Consultant – Tunis, TunisiaDesign and implement the data governance framework, operating model, and roles and responsibilities.
Develop and implement data governance process workflows.
Conduct requirement gathering and business analysis related to data governance initiatives.
Support data architecture activities in coordination with data governance objectives.
Participate in data maturity assessment sessions, gap analysis, and alignment with Enterprise Architecture teams and data strategy.
Coordinate with project teams to ensure that data standards and models align with enterprise architecture and applicable standards.
Define data governance–related roles and responsibilities, processes, and procedures.
Establish a common understanding and visibility of all organizational data assets.
Build strong working relationships with business stakeholders and provide business‑impact‑driven analysis, communicating results effectively.
#J-18808-Ljbffr€60000 - €80000 monthly