{"id":43769,"url":"https://alion.io/job/datumo-data-engineer","title":"Data Engineer","company":{"id":1763,"name":"Datumo","domain":"datumo.io","url":"https://alion.io/company/datumo","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":165000,"period":"year","method":"global_role_seniority_cell","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Kotlin","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Flink","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-02-12T10:49:20Z","employer_posted_date":"2026-02-12","last_verified_at":"2026-10-17T15:05:34Z","board_verified":true,"closed_at":null,"days_open":247,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":246},"description":"Datumo specializes in providing Big Data and Cloud consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce, telecommunications and life science. Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects.\nOur team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together!\nWhat we expect:\nMust-have:\nat least 3 years of commercial experience in Big Data,\nproven record with a selected cloud provider GCP preferred, Azure or AWS,\nstrong knowledge of Python and SQL,\ngood knowledge of JVM languages - Scala or Java or Kotlin,\nunderstanding of Apache Spark or similar distributed data processing framework,\nexperience with data warehousing solution (BigQuery, Snowflake, Databricks),\ndesigning and implementing Big Data systems following best practices,\nensuring solution quality through automatic tests, CI / CD and code review,\nproven collaboration with businesses,\nEnglish proficiency at min. B2 level, proficient in Polish.\nNice to have:\nfamiliarity with Apache Airflow or similar pipeline orchestrator,\nknowledge of Apache Kafka, Docker and Kubernetes technologies,\nknowledge of real-time data processing,\nexperience in Machine Learning projects,\nexperience in Apache Flink,\nwillingness to share knowledge (conferences, articles, open-source projects).\nWhat’s on offer:\n100% remote work, with workation opportunity,\n20 free days,\nonboarding with a dedicated mentor,\nproject switching possible after a certain period,\nindividual budget for training and conferences,\nbenefits: Medicover private medical care, co-financing of the Medicover Sport card,\nopportunity to learn English with a native speaker,\nregular company trips and informal get-togethers.\nDevelopment opportunities in Datumo:\nparticipation in industry conferences,\nestablishing Datumo's online brand presence,\nsupport in obtaining certifications (e.g. GCP, Azure, Snowflake),\ninvolvement in internal initiatives, like building technological roadmaps,\ntraining budget,\naccess to internal technological training repositories.\nDiscover our exemplary projects:\n IoT data ingestion to cloud \nThe project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer.\n Petabyte-scale data platform migration to Google Cloud\nThe goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer.\n Data analytics platform for investing company\nThe project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented.\n Realtime Consumer Data Platform\nThe initiative involves constructing a consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project’s start, contributing to planning the platform’s architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform.\nRecruitment process:\nTech quiz - 15 minutes\nSoft skills interview - 30 minutes\nTechnical interview - 60 minutes\nFind out more by visiting our website - https://www.datumo.io\nIf you like what we do and you dream about creating this world with us - don’t wait, apply now!","description_format":"text","description_chars":4632,"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":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false},{"language":"Polish","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Warehouses & Lakehouses","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-02-12T10:49:20Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.095,"p_room":0.28,"age_days":246,"expected_fill_days":41,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/datumo-data-engineer","json_url":"https://alion.io/job/datumo-data-engineer.json","meta":{"generated_at":"2026-10-17T15:11:37Z","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_verified","counted_by":"address","units_charged":1,"used_today":20484,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":1763},"rest":"https://alion.io/mcp/rest/get_company?id=1763"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatumo-data-engineer"},{"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%2Fdatumo-data-engineer"},{"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%2Fdatumo-data-engineer"},{"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/datumo-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatumo-data-engineer"}]}