17 set - Torino
Digital Pills
ppbHybrid, 8 days/month on-site in Turin (city center) /b /p pbApp / Web tracking, Adjust, GA4, Firebase, CRM /b /p pb6+ years of experience /b /p pbRAL €45-55k + €2,5/year welfare + premio /b /p h3About Digital Pills /h3 pAt 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. /p pWe are evolving from a classic consulting model into an AI Data company: we use our client projects as incubators of proprietary accelerators and products, building scalable technology on top of years of hands-on experience. Joining now means being part of this transition. /p pWhile 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. /p pOur Company Values are: /p ul liVertical 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. /li liResearch and Development (RD) and Training: We invest 20% of our time in training and Research and Development projects. This keeps us constantly updated on the latest trends and technologies, ensuring cutting-edge service for our clients. /li liPeople 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. /li liSocial 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. /li /ul pJoining our team means embracing these values and contributing to our mission of providing data-driven solutions that transform businesses. /p h3Job description /h3 pWe are looking for a Senior MarTech Engineer to act as the technical reference point of our MarTech team. You will work on complex client projects end-to-end, from problem framing to production, and you will work directly with our CTO to grow the team, steer RD investments, and transform recurring project patterns into reusable accelerators and proprietary products. /p pThe results we expect you to contribute are:
/p ul liLead analytics implementation projects involving design and implementation of advanced data collection systems both for App and Web environments with technologies such as (but not limited to) Google Tag Manager (GTM) client and server side, Google Analytics 4, Piwik, Amplitude, Adjust /li liMaster server side tracking solutions, especially related to the marketing optimization /li liOwn end-to-end 2-3 client projects in parallel, including relationships with senior client stakeholders /li liIdentify recurring patterns across projects and abstract them into reusable frameworks and accelerators, in collaboration with the CTO /li liMentor junior MarTech engineers and contribute to the team’s training roadmap /li liSupport Client Managers in pre-sales scoping: translate business requirements into technical architectures and realistic estimates /li liTranslate technical work into clear narratives for non-technical stakeholders /li /ul h3Education Experience /h3 ul liMaster’s degree in a quantitative field (Computer Science, Computer Networks, Statistics, Mathematics, Physics, Engineering, Data Science) or equivalent practical experience /li li6+ years of experience in MarTech or advanced analytics roles, with at least 2 years in a senior capacity (technical ownership of projects, mentorship of junior colleagues) /li liTrack record of implementations brought to production and used to drive real business decisions, with measurable impact /li liExperience in consulting / professional services or in product companies with a strong MarTech practice is a plus /li liExperience with international stakeholders is a plus /li /ul h3Hard Skills (essential) /h3 ul liFluent in Italian, C1 English /li liWeb and App Tracking /li liExperience with web analytics tools such as Google Tag Manager, Google Analytics 4, Mixpanel, Amplitude /li liExperience with App Analytics tools such as Firebase, Adjust /li liExperience with CMPs such as Iubenda,
OneTrust or similar /li liExperience with CDPs such as Twilio Segment, Bloomreach, Hightouch /li liData Cloud Foundations /li liAdvanced SQL: familiarity with data warehouses (BigQuery, Snowflake or similar) /li liHands-on experience with at least one cloud provider (GCP, Azure or AWS) /li liData modelling for GA4 raw data, Adjust raw data /li liData Quality Validation /li liAbility to validate data correctness, detect inconsistencies and reason about metric definitions and data reliability. /li /ul h3Soft Skills (essential) /h3 ul liEfficiency. Able to produce significant output with minimal wasted effort. /li liAttention to detail. Does not let important details slip through the cracks or derail a project. /li liHonesty/integrity. Does not cut corners ethically. Speaks plainly and truthfully, including about model limitations and uncertainty. /li liIntelligence. Learns quickly. Demonstrates ability to quickly and proficiently understand and absorb new information. /li liReal relationship skills. Manages senior client relationships without being intimidated. /li liTrue autonomy. Makes important decisions independently and raises the hand when a gap cannot be closed alone. /li liMentorship. Genuinely invested in growing the people around them. /li /ul h3Skills (desirable) /h3 ul liProgramming: /li liKnowledge of Python for data analysis or automation tasks and Javascript /li liSoftware Engineering /li liGit and collaborative development /li liClean, testable and maintainable code beyond notebooks; ability to structure repositories so components are reusable /li liCloud Data Platforms /li liOther cloud data platforms beside GCP, such as AWS, Azure. /li liOther marketing and product analytics platforms /li liPosthog, Matomo, Adobe /li liOther data activation platforms /li liKlaviyo, SalesManago, Treasure Data, Braze /li /ul h3What we offer /h3 ul liSalary: RAL €45k - €55k (based on experience) /li li€2500 annual welfare /lili€4k - €6k annual bonus based on performance /li li€8/day "buoni pasto" /li liContinuous training and development: dedicated days for individual training, RD community of practice syncs /li liA concrete role in the company’s evolution toward proprietary products and accelerators, working directly with the CTO /li liFlexible workplace (8 days / month in-office presence is required) /li /ul h3Starting date: October/November 2026 /h3 /p #J-18808-Ljbffr
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