Cloud Data Engineer | Digital Pills
Pubblicato il 09-10-2026 - Welyk in Piemonte
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- Way of working: hybrid, office in Turin (city centre), around 8 days per month on site, managed flexibly
- Key tech skills: Python, advanced SQL, ETL/ELT pipelines, solution design, GCP, Azure or AWS, IAM and networking, Cloud Run/Functions, data warehouses, AI tools for development
- Experience: at least 3 years as a software engineer or data engineer, with solid hands-on experience
- Gross annual salary: €32,000 - €42,000 + annual bonus + welfare
About the company
Welyk is recruiting on behalf of Digital Pills, a consulting company focused exclusively on data, based in Turin with around 30 people. The company covers the entire data value chain: data strategy, data engineering, analytics engineering, BI and data science, and over the last two years it has significantly strengthened its AI practice. It works with large international clients (including HelloFresh, Airalo and Last Minute) and Italian enterprise brands, and is pursuing an international expansion. It also dedicates a significant part of its activity to the non-profit sector, including pro bono projects for organisations such as AIRC and Save the Children.
Digital Pills recently received an investment from RIF-T, a vehicle controlled by Equiter and funded by Fondazione Compagnia di San Paolo, to support its scale-up phase and its evolution towards a model based on proprietary accelerators and products. The person will join the delivery team, where projects are organised in small, dynamic teams: on small and medium projects they work autonomously as the technical lead, on larger projects within structured teams, together with the account who manages the client relationship. It is a role where data engineering, cloud engineering and software engineering intersect, in heterogeneous and constantly evolving technical environments.
What you'll do
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- Be the technical lead on small and medium projects, following them autonomously from solution design to production release
- On larger, cross-cutting projects, work in structured project teams, supported by senior colleagues to ensure alignment with the overall architecture and company best practices,
together with the account who manages the client relationship
- Design and build cloud-native data pipelines and platforms on GCP, Azure and AWS, with a focus on robust ETL/ELT and efficient data integrations
- Design and manage cloud infrastructure: networking, IAM, services, monitoring
- Develop connectors and lightweight backend services in Python
- Work on advanced projects: integrations between complex systems, data replication and synchronization, productized ETL platforms and AI-based services, such as RAG systems, Copilot-style architectures, MCP servers and LLM API integrations
Requirements
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- At least 3 years of experience as a software engineer or data engineer: this is not a junior position, we need someone already able to work autonomously
- Solid software engineering foundations and the ability to design the solution, not only implement it
- Experience with projects followed end-to-end, from design to release
- Advanced SQL and data modelling, experience building and running ETL/ELT pipelines, good knowledge of data warehouses and transactional databases
- Solid Python for data pipelines, connectors and lightweight backend services, Git, code review and collaborative development, clean, testable and maintainable code
- Hands-on experience with at least one cloud provider (GCP, Azure or AWS, no preference): IAM and service accounts, networking and VPC concepts, Cloud Run, Functions and VMs, monitoring and logging
- Use of AI tools (Claude Code, Cursor, GitHub Copilot or similar) for implementation, design or analysis tasks
- Master's degree in Computer Engineering, Computer Science or equivalent practical experience
- Fluent Italian and professional working English
Nice to have
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- Experience designing and integrating AI services via API (OpenAI, Anthropic, Azure OpenAI),
including RAG systems, Copilot-style architectures and MCP servers, handling authentication, rate limits, latency and error handling
- MLOps: deploying machine learning models in the cloud and integrating data pipelines with models
- Analytics engineering: experience with data from marketing and advertising platforms (Google Analytics, Google Ads, Meta Ads or similar), from raw data transformation to models for analytics and attribution
- Experience in startups or small tech companies
You're the right person if
You have solid IT foundations and you enjoy moving across data, cloud and software without limiting yourself to a single technical layer.
You're used to taking care of a project as a whole, not just one piece of it: you thrive in agile contexts, perhaps in startups or small teams, where roles are not rigidly divided and everyone takes their own project all the way.
When facing a problem, you naturally think about the architecture before writing code, and you can explain your choices.
You use AI tools as a lever to work faster and more autonomously, with a critical mindset.
You learn quickly and approach things with a solution-oriented attitude.
You can earn recognition as a technical reference, both within the team and with clients. xysqume
What the company offers
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- Gross annual salary of €32,000 - €42,000 based on experience, annual bonus
- €2,500/year company welfare and meal vouchers of €8 per day
- CCNL Metalmeccanico Industria (Italian national collective agreement), 13 monthly salaries
- Hybrid model, with around 8 days per month in the Turin office (city centre), managed flexibly
- 20% of time dedicated to training and R&D;, with dedicated days for individual training and community of practice sessions
- Real autonomy and responsibility from day one, with diverse projects for large clients in Italy and abroad, including next-generation AI services
L'annuncio è rivolto a candidati di entrambi i sessi, nel rispetto del D.lgs. 198/2006 e s.m.i., e a persone di ogni età, nazionalità, orientamento sessuale, identità di genere e appartenenza etnica, nel rispetto dei principi di non discriminazione e pari occasione.
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