{"id":4027824,"url":"https://alion.io/job/addepto-data-engineer-gcp-snowflake-dbt","title":"Data Engineer (GCP, Snowflake, dbt)","company":{"id":2713,"name":"Addepto","domain":"addepto.com","url":"https://alion.io/company/addepto","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":73,"open_postings":11,"ghost_share":0.455,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"A/B Testing","optional":true},{"name":"Anthropic","optional":true},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-11-10T13:25:47Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T17:33:54Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.\nThe company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue- and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.\nAs part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities-enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.\nWe are looking for an experienced Data Engineer with strong skills in GCP, Snowflake, dbt, Python, SQL, and Data Analytics to join our team. You will work on international data engineering and analytics projects, focusing on building scalable data solutions, modernizing data warehouses, and supporting data-driven business decisions.\nProject areas include:\nData Warehouse & BI Modernization - refactoring data models and supporting migrations between BI platforms (e.g., Looker to Omni).\n\nCRM Data Integration - developing and optimizing data models to support CRM migrations and integrations (e.g., HubSpot).\n\nCommercial & Growth Analytics - building analytical solutions for customer acquisition, retention, churn, revenue, and business performance.\n\nData Quality & Self-Service Analytics - improving data reliability, implementing semantic layers, and enabling accessible analytics and AI-ready datasets.\n\nYour main responsibilities:\nDesign, develop, and optimize data pipelines and data models using modern cloud technologies.\n\nBuild and maintain dbt models and complex data transformations using Python and SQL.\n\nSupport data warehouse modernization, BI migrations, and integration of multiple data sources.\n\nDevelop analytical datasets and reporting solutions to support business decisions.\n\nEnsure data quality, testing, monitoring, and documentation.\n\nCollaborate with engineering teams, analysts, and business stakeholders to deliver scalable data solutions.\n\nRequirements\nWhat you'll need to succeed in this role:\n3+ years of commercial experience in Data Engineering or Analytics Engineering.\n\nStrong hands-on experience with GCP (BigQuery) and Snowflake.\n\nAdvanced proficiency in Python and SQL, including complex data transformations, data processing, and query optimization.\n\nStrong practical experience with dbt, including developing, testing, and optimizing data models.\n\nSolid understanding of data warehousing, data modelling, ETL/ELT processes, and data architecture best practices.\n\nHands-on experience with BI and reporting tools, such as Looker, LookML, Omni, Power BI, or Tableau.\n\nExperience with workflow orchestration tools, such as Apache Airflow or equivalent solutions.\n\nExperience with Git, CI/CD pipelines, code reviews, and automated testing.\n\nGood understanding of data quality, monitoring, and data governance practices.\n\nStrong analytical and problem-solving skills, with the ability to work independently and collaborate with business stakeholders.\n\nExcellent English communication skills (C1 minimum).\n\nNice to have:\nKnowledge of CRM systems, such as HubSpot or Salesforce.\n\nExperience with semantic layers, BI migrations, or data warehouse refactoring.\n\nBackground in fintech, SaaS, or commercial analytics.\n\nFamiliarity with A/B testing, product analytics, or AI-ready data solutions.\n\nDiscover our perks & benefits:\nWork in a supportive team of passionate enthusiasts of AI & Big Data.\n\nEngage with top-tier global enterprises and cutting-edge startups on international projects.\n\nEnjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.\n\nAccelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsoredtraining or conferences, including partnerships with Databricks and Anthropic, which offer industry-leading training materials and certifications.\n\nParticipate inteam-building events and utilize the integration budget.\n\nCelebrate work anniversaries, birthdays, andmilestones.\n\nAccess medical andsports packages, eye care, and well-being support services, including psychotherapy and coaching.\n\nGet full work equipment for optimal productivity, including a laptop and other necessary devices.\n\nWith our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.\n\nExperience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous 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