{"id":1261265,"url":"https://alion.io/job/accepted-data-engineer","title":"Data Engineer","company":{"id":669851,"name":"Accepted","domain":"accepted.gr","url":"https://alion.io/company/accepted","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":92,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":98000,"period":"year","method":null,"sample_n":3503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Dagster","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"Prefect","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"SSIS","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-25T20:37:01Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T19:27:42Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Working model: Hybrid | Type: Full-time\nAccepted is a software and digital transformation services firm helping clients accelerate innovation in Finance, Energy, Gaming, Telco, and beyond. With 20+ years of engineering excellence, we’re known for building outcome-driven solutions and high-performing teams that feel like part of your own.\nWe’re looking for a Data Engineer to strengthen our hybrid delivery teams.\nWhat You’ll Do\nPipeline Development: Design, develop, and maintain data pipelines to ensure efficient and reliable data processing;\nData Modeling: Implement and optimize data models, data storage, and data integration solutions;\nData Transformation: Perform data profiling, data cleansing, and data transformation activities;\nMonitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.\nRequirements\nWhat You’ll Bring\nProficiency in programming languages with a focus on data analytics (ideally Python & PySpark);\nMinimum 3 years of professional development experience in SQL, ETL & DW;\nExpertise in modern data warehousing techniques (Kimbal/Inmon data modeling, Data Vault 2.0);\nPractical knowledge with a Cloud Platform (e.g. Azure, Databricks);\nSolid understanding of Microsoft Business Intelligence solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI);\nExperience with a workflow/orchestration engine (e.g. Airflow, Prefect, Dagster);\nFamiliar with Git or other version control tools;\nA degree in Computer Science or related field.\nBenefits\nWhy Accepted\nCompetitive compensation aligned with your experience and skills;\nAnnual bonus scheme linked to company performance;\nPrivate medical, dental, and life insurance coverage;\nOngoing professional development through training and certifications;\nStructured mentoring to support your growth and advancement.\nYour Next Step\nApply today and grow with a company where innovation, trust, and excellence come together. All applications are confidential. We are proud to be an Equal Opportunity Employer.","description_format":"text","description_chars":2038,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Insurance coverage","Life insurance","Professional development"],"hiring_locations":[{"name":"Greece","iso":"GR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T20:37:01Z"}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.812,"p_room":1,"age_days":5,"expected_fill_days":21,"reasons":["conf:13","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/accepted-data-engineer","json_url":"https://alion.io/job/accepted-data-engineer.json","meta":{"generated_at":"2026-10-02T02:26:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3246,"day_limit":5000,"remaining_today":1754,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}