{"id":34848,"url":"https://alion.io/job/devapo-data-engineer","title":"Data Engineer","company":{"id":1439,"name":"Devapo","domain":"devapo.io","url":"https://alion.io/company/devapo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":{"grade":"D","score":43,"open_postings":20,"ghost_share":0.95,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":17800,"max":21500,"currency":"PLN","period":"month","gross":null,"usd_annual":68964},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-02T13:00:12Z","employer_posted_date":null,"last_verified_at":"2026-08-02T13:00:12Z","board_verified":false,"closed_at":null,"days_open":57,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":57},"description":"We are looking for an experienced Data Engineer responsible for planning, developing, and maintaining cloud environments for our clients.\nAbout Devapo\nAt Devapo, we focus on continuous self-development and acquiring new knowledge. If you are a fast learner, want to participate in international projects, are a team player, and can work independently - join us!\nWe provide our clients with more than just code - we want to equip them with tools that allow their businesses to flourish. Our clients' success is our success, which is why we ensure that everyone who creates Devapo has a long-term goal in mind.\nKey Responsibilities:\nDesign, implement, and maintain scalable and efficient data pipelines in one of the cloud environments (Azure, AWS, GCP) using tools such as Databricks, Glue, Dataflow, or Azure Data Factory\nDevelop and optimize ETL/ELT processes using cloud-native services (e.g., Azure Data Factory, AWS Glue, GCP Dataflow) and Apache Spark/Databricks\n\nBuild Big Data solutions aligned with business and analytical requirements across cloud platforms\n\nCollaborate with Data Science, BI, and development teams to deliver high-quality, well-structured, and performant data\n\nMonitor and improve the performance, reliability, and scalability of data processing systems\n\nImplement robust data governance, security standards, and best practices across cloud environments\n\nResearch and evaluate new tools and technologies within the cloud and data engineering ecosystem\n\nRequirements:\nMinimum 3 years of experience as a Data Engineer or in a similar role\n\nHands-on experience with one or more major cloud platforms (Azure, AWS, GCP); deep knowledge of cloud data services such as:\n\nAzure Data Factory, Azure Data Lake, Synapse Analytics (Azure)\n\nAWS Glue, S3, Redshift, Athena (AWS)\n\nGCP Dataflow, BigQuery, Cloud Storage (GCP)\n\nExtensive experience with Databricks and Apache Spark\n\nProficiency in SQL and experience with relational and columnar databases\n\nStrong programming skills in Python and PySpark\n\nExperience designing and optimizing data pipelines in distributed, cloud-based architectures\n\nFamiliarity with Delta Lake or other modern data lake architectures\n\nSolid understanding of data modeling and schema design\n\nWhat We Offer:\nSalary: 17 800 - 21 500 PLN (B2B contract)\n\nCo-financing for training and certifications, as well as guaranteed time for learning during working hours\n\nPrivate medical care and a Multisport card\n\nLanguage classes (English)\n\nFlexible working hours and the possibility of hybrid work (Warsaw)\n\nTeam integration meetings and company events\n\nEmployee referral program with a bonus\n\nAn individually tailored career development path","description_format":"text","description_chars":2676,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Company events","Flexible schedule","Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","Cloud Consulting & Migration","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-08-02T13:00:12Z"}],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.294,"p_room":0.35,"age_days":56,"expected_fill_days":16,"reasons":["seen:56","stale_co","win:tail"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":68964,"is_top_pay":false},"html_url":"https://alion.io/job/devapo-data-engineer","json_url":"https://alion.io/job/devapo-data-engineer.json","meta":{"generated_at":"2026-09-29T01:37:11Z","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":1237,"day_limit":5000,"remaining_today":3763,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}