{"id":1723053,"url":"https://alion.io/job/allegro-data-engineerdata-engineer-data-platform","title":"Data EngineerData Engineer - Data Platform","company":{"id":1876195,"name":"Allegro","domain":"allegro.eu","url":"https://alion.io/company/allegro-eu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"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":{"min_usd":62000,"max_usd":103000,"period":"year","method":"role_country_seniority_unknown","sample_n":288},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Consul","optional":true},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Java","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Service Mesh","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-10-02T21:18:47Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-06T00:13:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Description:\nImportant things for you:\nFlexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.\nThe salary range for this position depending on the skill set is as follows (contract of employment, tax-deductible cost):\nData Engineer: 14 600 - 20 825 PLN\nAnnual bonus based on your annual performance and company results.\nWe are looking for a skilled and proactive Data Engineer to join our Vento team.\nThe role is critical for the development of the Vento service, which standardizes and validates all Allegro clickstream events. The Data Engineer ensures the high quality of data consumed by AI agents and core business dashboards (Board-level metrics).\nThis is the right job for you if you:\nHave solid, production-proven experience in Big Data ecosystems and building stable data pipelines.\nAre proficient in Python, Spark (Scala is nice to have) and open to navigating or aligning with Java backend applications.\nUnderstand data quality principles, event contract validation, anomaly detection, and data processing within streaming environments (Clickstream).\nAre open to feedback, keen to participate in code reviews, and eager to develop your skills.\nAre a proactive communicator who naturally signals technical problems and takes ownership of your tasks with a high level of autonomy.\nShow a broad technical perspective and are interested in how Big Data, Backend, and Frontend pillars interconnect.\nAre enthusiastic about utilizing AI coding tools to automate repetitive tasks and optimize your daily workflow.\nSpeak Polish at a minimum C1 level and English at a minimum B2 level.\nIn your daily work you will handle the following tasks:\nDesigning, scaling, developing, and maintaining data validation pipelines for high-volume clickstream data within the Vento service.\nImplementing robust anomaly detection mechanisms to ensure data integrity and quality processing before ingestion into the core Data Assets layer.\nCollaborating with cross-functional stakeholders to reconcile data requirements.\nActively participating in engineering discussions, code reviews, and cross-team initiatives.\nWhat's in it for you:\nFlexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work.\nWell-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms).\nA 16\" or 14\" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories.\nA wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers).\nEnglish classes that we pay for related to the specific nature of your job.\nA training budget, inter-team tourism (see more here), hackathons, and an internal learning platform where you will find multiple trainings.\nAn additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal.\nSocial events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy.\nAnd that's just the beginning! You can read more about the benefits here.\n#goodtobehere means that:\nYou will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA.\nYou will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create.\nYou will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job.\nYou will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support).\nYou will create solutions that will be used (and loved!) by your friends, family and millions of our customers.\nYou will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning.\nYou will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about!\nSend us your CV and... see you at Allegro!","description_format":"text","description_chars":5000,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Polish","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Apple Macbook","Cafeteria","Flexible schedule"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-02T21:18:47Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":13,"reasons":["conf:1","velocity","win:early","comp:brand"],"computed_at":"2026-10-05T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/allegro-data-engineerdata-engineer-data-platform","json_url":"https://alion.io/job/allegro-data-engineerdata-engineer-data-platform.json","meta":{"generated_at":"2026-10-06T02:01:02Z","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","counted_by":"address","units_charged":1,"used_today":3008,"day_limit":5000,"remaining_today":1992,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"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":1876195},"rest":"https://alion.io/mcp/rest/get_company?id=1876195"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fallegro-data-engineerdata-engineer-data-platform"},{"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%2Fallegro-data-engineerdata-engineer-data-platform"},{"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%2Fallegro-data-engineerdata-engineer-data-platform"},{"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/allegro-data-engineerdata-engineer-data-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fallegro-data-engineerdata-engineer-data-platform"}]}