{"id":2171697,"url":"https://alion.io/job/iteamly-data-engineer-analytics-social-data","title":"Data Engineer – Analytics & Social Data","company":{"id":3913593,"name":"iTeamly","domain":"iteamly.com","url":"https://alion.io/company/iteamly","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":13000,"max":22500,"currency":"PLN","period":"month","gross":null,"usd_annual":69072},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Data Vault","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-09T11:39:13Z","employer_posted_date":null,"last_verified_at":"2026-10-09T11:39:13Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About the Role\nWe are looking for a Data Engineer to work with large social and web datasets, helping transform raw data into reliable datasets, metrics, and insights. The role combines hands-on data work with data discovery, pipeline development, quality assurance, and rapid prototyping.\nWhat we offer:\nFully remote work.\nHigh level of technical ownership and autonomy.\nReal influence on how new data sources, metrics, and technical approaches are developed.\nHands-on work with Python, SQL, dbt and Snowflake.\nOpportunity to solve technically complex problems using large and diverse datasets.\nOpportunity to combine engineering with experimentation, data discovery, and rapid prototyping.\nClose collaboration with senior data leadership.\nOpportunity to shape engineering and data quality practices within the workstream.\nAccess to modern AI-assisted development tools.\nMultisport card.\nPrivate healthcare.\nZakres obowiązków\nExtracting, cleaning, transforming, and analysing data from social and web sources.\nBuilding and improving data transformations and prototype pipelines.\nWorking with large datasets and ensuring their quality and consistency.\nSupporting the evaluation of new data sources and developing metrics to assess their value.\nIdentifying trends and meaningful signals within complex datasets.\nApplying automated testing to data pipelines and analytical outputs.\nBuilding quick prototypes to validate new data approaches with stakeholders.\nProducing clear analytical outputs and visualisations where needed.\nWriting clean, reusable code and documenting implemented solutions.\nWorking independently on well-defined technical deliverables.\nUsing AI-assisted development tools while maintaining ownership of code and data quality.\nWymagania\nRequirements:\n2+ years of commercial experience working with data.\nStrong hands-on experience with Python and SQL.\nPractical experience with dbt.\nExperience working with Snowflake.\nExperience cleaning, transforming, and working with large datasets.\nGood understanding of data quality and reliable data processing.\nExperience with Git/GitHub.\nAbility to independently deliver well-scoped technical tasks.\nNice to have:\nExperience with social media or web data.\nExperience working with external APIs and integrating new data sources.\nExperience with Airflow or another workflow orchestration tool.\nFamiliarity with Data Vault modelling.\nExperience with Tableau and/or Power BI.\nExperience building prototype data pipelines.\nExperience defining or validating analytical metrics.\nExperience implementing automated tests for data transformations and pipelines.\nPrevious exposure to trend or signal analysis.\nExperience evaluating the quality and usability of previously unknown datasets.\nPractical experience with AI coding tools such as Copilot, Cursor, Codex, or Claude Code.\nTech stack\nPython\nSQL\ndbt\nSnowflake\nAPI\nAirflow\nData Vault\nTableau\nPower 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