{"id":2154871,"url":"https://alion.io/job/namirial-data-engineer","title":"DATA ENGINEER","company":{"id":54166,"name":"Namirial","domain":"namirial.com","url":"https://alion.io/company/namirial","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":90000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitLab CI","optional":false},{"name":"Jenkins","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prefect","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"dbt","optional":true},{"name":"GDPR","optional":true}],"status":"live","first_seen_at":"2026-09-11T02:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-20T03:43:57Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Ready to grow your talent and make an impact? Join us and become part of a company that leads the digital transformation!\nWe are looking for a Data Engineer to join our new IT Platform & AI Team, who is eager to contribute to the design, implementation, and evolution of a scalable and governed Lakehouse platform.\nThe role involves building and operating modern data architectures on Databricks running on AWS, managing data ingestion, transformation, orchestration, and serving layers end to end. This is a high-ownership position for an experienced engineer who enjoys building robust data solutions while contributing to engineering standards, team growth, and technical excellence.\nABOUT US:\nNamirial supports its customers in their digital transformation journey by providing trusted digital transaction management solutions. Namirial’s digital trust services include solutions for customer onboarding, agreement automation, signature workflow orchestration, identification, multi-factor authentication, electronic signatures, electronic registered delivery, long-term archiving, and electronic invoicing.\nFounded in 2000 in Italy, Namirial Group is now present in more than 85 countries and employs over 1400 people. With its international network of more than 170 strategic partners, Namirial serves over three million customers worldwide and processes several million transactions per day. Namirial is accredited as a Qualified Trust Service Provider under the European Regulation 910/2014 eIDAS.\nYOUR NEW KEY RESPONSIBILITY:\nDesign and implement end-to-end data architectures on a Databricks Lakehouse Platform following Medallion architecture principles (Bronze, Silver, Gold layers)\nBuild and operate scalable ETL/ELT pipelines for batch and streaming workloads using PySpark, Spark SQL, and Spark Structured Streaming\nDevelop and manage Databricks infrastructure, including Delta Lake tables, Databricks SQL, and Lakeflow Jobs\nImplement data governance, lineage, and access control using Unity Catalog, ensuring security-by-design and audit readiness\nDefine and implement data quality checks, monitoring, logging, and observability practices across the data ecosystem\nEstablish engineering best practices around coding standards, testing, CI/CD, and Infrastructure as Code\nCollaborate with analytics, machine learning, security, and engineering teams to enable reliable and efficient data-driven solutions\nContribute to team growth through collaboration, knowledge sharing, and technical guidance\nSupport the continuous improvement of platform reliability and scalability\nYOU MAY BE A FIT FOR THIS ROLE IF YOU HAVE:\nHard Skills\n5+ years of experience as a Data Engineer in complex enterprise environments\nHands-on experience designing and operating data platforms from the ground up\nStrong experience with Databricks Lakehouse Platform, including Delta Lake and Unity Catalog\nSolid working knowledge of AWS cloud services and cloud-based data architectures\nStrong proficiency in Python, SQL, and Apache Spark (PySpark / Spark SQL)\nExperience developing and operating both batch and streaming pipelines, including Spark Structured Streaming\nExperience with orchestration solutions such as Databricks Lakeflow Jobs and/or external orchestrators (Airflow, Prefect, Dagster, AWS Step Functions)\nSolid understanding of data modeling techniques, including dimensional modeling and Lakehouse modeling approaches\nUnderstanding of data governance, data quality, security-by-design principles, and compliance requirements\nExperience working with common data formats such as Parquet, Delta, Avro, and JSON\nKnowledge of streaming technologies such as Kafka or Amazon Kinesis\nFamiliarity with Infrastructure as Code practices, including Terraform (Databricks provider), CloudFormation, and/or Databricks Asset Bundles\nExperience with CI/CD pipelines using tools such as GitLab CI, Jenkins, or similar solutions\nGood command of English, both written and spoken\nSoft Skills\nStrong analytical and problem-solving skills\nOwnership mindset and ability to work independently in a high-responsibility environment\nTeam-oriented approach with strong collaboration skills across technical functions\nAbility to communicate technical concepts clearly and effectively\nProactive attitude focused on reliability, scalability, and continuous improvement\nNice to Have\nDatabricks certifications such as Databricks Certified Data Engineer Associate or Professional\nHands-on experience with dbt\nAdvanced experience with Databricks ecosystem components such as Lakeflow Declarative Pipelines, Auto Loader, and Lakeflow Connect\nExperience mentoring engineers or leading a small technical team\nExperience with Databricks performance tuning and cost optimization, including cluster sizing, SQL Warehouse optimization, Photon, and partitioning strategies\nExperience working in regulated environments with GDPR, compliance, or audit requirements\nCOMPENSATION PACKAGE:\nEmployment Classification: Employee under B2 the CCNL Metalmeccanica Industria\nFixed Salary (RAL): €50.000 - €55.000 gross per year, depending on the assessed level of autonomy and responsibility\nMeal vouchers: €7 for each day worked on-site\nWHAT WE ARE OFFERING:\nWorking in an exciting and innovative market environment\n\nFlexible working hours, uncomplicated holiday planning and home office\n\nDynamic and open-minded working atmosphere with attractive benefits\n\nAn international and motivated team that welcomes YOU!\n\nRECRUITMENT PROCESS:\n HR Discovery Call (30 minutes - in English)Initial conversation with HR to explore your background, motivation, and overall fit.\n\nInterview with the Direct LeaderIn-depth discussion focused on your experience, key skills, and alignment with team and business goals.\n\nTechnical Deep Dive / Business CasePractical session to assess role-relevant skills, problem-solving approach, and business acumen.\n\n Assessment+ Feedback Session (1 hour)Online assessment focused on personality traits and motivational drivers, followed by a dedicated feedback discussion.\n\nReference Check\nAt Namirial, we recognize the value of people as a fundamental element of our identity. \nWe promote a workplace that is open, inclusive, and respectful-where everyone feels seen, heard, and appreciated. \nTo support this commitment, we have adopted policies that promote diversity, equity, and inclusion, available at the following link: \n https://www.namirial.com/it/esg/impegno-sociale and obtained the UNI/PdR 125:2022 certification.","description_format":"text","description_chars":6492,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Equity","Flexible schedule","Home office"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Document Management","Identity Management","Workflow & Process Automation (RPA, BPM)","Digital Signature"],"lifecycle":[{"event":"open","at":"2026-10-09T06:25:47Z"}],"visa":[],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.642,"p_room":0.55,"age_days":39,"expected_fill_days":27,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/namirial-data-engineer","json_url":"https://alion.io/job/namirial-data-engineer.json","meta":{"generated_at":"2026-10-20T08:00:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8488,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":54166},"rest":"https://alion.io/mcp/rest/get_company?id=54166"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnamirial-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnamirial-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnamirial-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/namirial-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnamirial-data-engineer"}]}