{"id":2156634,"url":"https://alion.io/job/e-novia-s-p-a-data-analytics-engineer","title":"Data & Analytics Engineer","company":{"id":1859723,"name":"e-Novia","domain":"e-novia.it","url":"https://alion.io/company/e-novia","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Allibo","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milan, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":66000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cassandra","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MS SQL","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"GDPR","optional":true},{"name":"Matplotlib","optional":true},{"name":"Plotly","optional":true},{"name":"Seaborn","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-03-02T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-14T11:05:32Z","board_verified":true,"closed_at":null,"days_open":226,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":226},"description":"To support the growth of our client base and the evolution of our data platform, we are looking for a Data & Analytics Engineer with 2-4 years of experience who can become a key reference point for data analysis and contribute to the development of our data infrastructure. The role will work closely with the Tech, Product, and Business teams and will be responsible for: \nVerifying, certifying, and continuously monitoring the quality and reliability of data collected by our proprietary systems \nExtracting, transforming, and validating data from relational databases (MS SQL, Postgres) and non-relational databases (Cassandra) \nSupporting the design and maintenance of data pipelines (ETL/ELT) using Python and Databricks \nPerforming exploratory analysis on complex datasets (mobility, flows, spatio-temporal data) \nIdentifying patterns, anomalies, missing data, and relevant trends \nProducing structured reports (mobility reports, custom client analyses, internal analyses) \nExtracting high-value insights from collected data \nPreparing and presenting analyses and results to clients, with strong storytelling skills and the ability to translate data into actionable recommendations \nThe goal is to evolve the role toward increasing autonomy in managing the full data lifecycle: collection, validation, modeling, analysis, and reporting.\nMUST HAVE \nStrong knowledge of key languages and frameworks for data analysis / data engineering (Python, Pandas, etc.) \nFamiliarity with object-oriented programming \nStrong knowledge of SQL-based relational databases \nAbility to write complex queries and work with structured datasets \nGood command of English (written and spoken) \nNICE TO HAVE \n2-4 years of experience in data analytics and/or data engineering \nExperience designing or maintaining data pipelines (ETL/ELT) \nKnowledge of data visualization tools (Plotly, Seaborn) \nExperience with highly spatio-temporal datasets (time series, geolocated data, mobility data) \nExperience with non-relational databases (e.g., Cassandra) \nFamiliarity with cloud environments \nWHAT WE OFFER \nTechnical and professional growth opportunities in an innovative, high-tech environment \nThe opportunity to take on increasing responsibility in strategic projects \nA dynamic, interdisciplinary, and results-driven workplace \nLocation: Milan (MM Precotto) / hybrid work model (work from home available) \nResumes must include written authorization for the processing of personal data in accordance with GDPR (EU Regulation 2016/679).\nBlimp is an equal opportunity employer: this job posting is open to all genders in accordance with Italian Legislative Decree no. 198/2006.","description_format":"text","description_chars":2654,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Growth opportunities","Hybrid work"],"hiring_locations":[{"name":"Italy","iso":"IT","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Financial Services","Angel Networks & Startup 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