Cloud Data Engineer Specialist

About Digital Pills

At Digital Pills, our mission is to empower businesses with the strategic use of data.

Our clients range from big corporations to elite B2C and B2B players. We also collaborate with foundations and non-profit organisations.

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While growing quickly, we’re still a small company with a startup-like culture which offers maximum personal freedom and flexibility along with the ability to be agile. 

Our Company Values are:

• Vertical Boutique : To compete with established players, vertical specialization is the essential ingredient. For us, this specialization is focused on data, which forms the core of our approach.
• Research and Development (R&D) and Training : We have dedicated budgets for individual training and Research and Development projects. This keeps us constantly updated on the latest trends and technologies, ensuring cutting-edge service for our clients.
• People at the Center : We create a unique and motivating work environment to attract the best talents in the industry. Our corporate culture is geared toward maintaining high levels of quality in every aspect of our work.
• Social Impact on the Community : We are committed to making a positive contribution to the community. We donate 1% of our annual revenue to Pro-bono initiatives, and every member of our team dedicates 40 hours per year to non-profit projects. With our social commitment, we aim to make a difference in people's lives and create a better world.

Joining our team means embracing these values and contributing to our mission of providing data-driven solutions that transform businesses and society.

Job description

Mission

At Digital Pills, our mission is to empower businesses with the strategic use of data. As a Cloud Data Engineer, you will work on complex, end-to-end projects where data engineering, cloud engineering and software engineering strongly intersect.

You will design and implement data pipelines, cloud infrastructures and backend services, working autonomously across multiple technical layers in highly heterogeneous and evolving environments.

This role is ideal for engineers with strong IT foundations who enjoy solving complex problems and working on diverse, non-standard projects.

As a Data Engineer Specialist, the results we expect you to contribute are as follows:

• Design and build cloud-native data pipelines and data platforms on GCP, Azure and AWS
• Design and operate cloud infrastructure (networking, IAM, services, monitoring)
• Develop backend services and connectors in Python
• Collaborate closely with consultants, product teams and clients to design robust and scalable architectures
• Take ownership of technical solutions end-to-end, from design to production

Education & experience

• Master's degree in Computer Engineering, Computer Science or equivalent practical experience
• 3+ years of experience in data engineering, cloud engineering or backend engineering
• Strong interest in working across data, cloud and software layers

Hard skills (essentials)

• Fluent in Italian
• Data Engineering
• Advanced SQL and data modeling
• Experience building and operating ETL / ELT pipelines
• Strong understanding of data warehouses and transactional databases
• Programming & Software Engineering
• Strong Python for backend services and data pipelines
• Experience with Git, code reviews and collaborative development
• Ability to write clean, testable and maintainable code
• Cloud Engineering
• Hands-on experience with GCP, Azure or AWS
• Experience with:
• IAM and service accounts
• networking and VPC concepts
• Cloud Run / Functions / VM
• monitoring and logging
• Ability to design and operate cloud infrastructure autonomously

Soft skills (essentials)

• Efficiency. Able to produce significant output with minimal wasted effort.
• Attention to detail. Does not let important details slip through the cracks or derail a project.  
• Honesty/integrity. Does not cut corners ethically. Earns trust and maintains confidence. Does what is right, not just what is politically expedient. Speaks plainly and truthfully. 
• Intelligence. Learns quickly. Demonstrates ability to quickly and proficiently understand and absorb new information. 
• Teamwork. Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
• Enthusiasm. Exhibits passion and excitement over work. Has a can-do attitude. 
• Authority. Able to be recognised as a team leader by the team and the clients
• Solution oriented. Able to understand the requirements and convert them into a feasible solution.

Hard skills (desirable)

• AI Services, RAG & LLM Integrations: Experience with designing and integrating AI-powered services via API (e.g. OpenAI, Anthropic, Azure OpenAI), including Retrieval-Augmented Generation (RAG) systems, Copilot-like architectures and MCP servers. This includes building backend systems that orchestrate LLM calls, manage authentication, rate limits, latency and error handling, and ensure reliable integration of AI components within data and cloud architectures.
• ML Ops : Experience with deploying machine learning models in cloud environments and understanding the integration between data engineering pipelines and ML models. This skill set ensures efficient operationalization of ML models and seamless data flow between data engineering tasks and machine learning operations.
• Analytics Engineering : Knowledge in the analytics and martech (marketing technology) sector, including experience with handling Google Analytics raw data. This encompasses skills in transforming raw data into actionable insights, building data models for analytics purposes, and leveraging data for marketing strategies and decisions.
• Agile Methodologies : Familiarity with Agile work practices, including Scrum or Kanban. This includes the ability to work in fast-paced, iterative development cycles, collaborate effectively with cross-functional teams, and adapt to changing project requirements. xdwybme Agile methodologies emphasize continuous improvement, flexibility, and the delivery of high-quality work products in a structured yet adaptable framework.

What we offer

• Salary: RAL €32k - €40k (based on experience)
• €2.000 Welfare (annual)
• Annual performance-based bonus €2k - €4k
• Buoni pasto €8/working day
• Continuous training and development: dedicated days for individual training, R&D & community of practice syncs
• Possibility to attend to events in Italy and Europe

Starting date : May 2026