{"id":715132,"url":"https://alion.io/job/incelligent-data-engineer-cloud","title":"Data Engineer (Cloud)","company":{"id":682877,"name":"Incelligent","domain":"incelligent.net","url":"https://alion.io/company/incelligent","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Nea Smyrni, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"Docker","optional":true},{"name":"Flink","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Kubernetes","optional":true},{"name":"Snowflake","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-03T00:00:00Z","employer_posted_date":"2026-08-03","last_verified_at":"2026-10-28T19:30:56Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"Incelligent builds Big Data, analytics, and AI/ML solutions that help enterprise and public sector organizations advance their digital transformation. Working across a diverse product portfolio, the team applies modern data-driven development practices to create production-ready software that brings together data engineering, analytics, and artificial intelligence for real-world use cases.\nAs a Data Engineer at Incelligent, you will contribute to Cloud-based data engineering initiatives that support robust, scalable data platforms and governance practices. This role is well suited to someone who enjoys working at the intersection of modern data infrastructure and applied innovation, with a particular focus on the Databricks platform, the Azure data ecosystem and the delivery of high-impact solutions for complex organizational environments.\nResponsibilities\nDesign data lake zones, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.\nWork with relational databases, data warehouses, and data lakes as part of modern data platform delivery.\nTranslate responsibly business logic / analysis into production ready pipelines that deliver accurate results for critical business domains\nContribute to reusability initiatives, returning implementation assets back to the company to efficiently re-use it in future projects \nRequirements\nMinimum Requirements\nMinimum 4 years of experience in data engineering using at least one core language of Python, Scala, or Java.\nStrong SQL knowledge with hands-on experience in data modeling, querying, transformation, and optimization.\nProven experience with Apache Spark, or a similar distributed data processing framework.\nExperience using the Databricks Platform (Unity Catalog, Notebooks, SQL Warehouses, LakeFlow)\nFamiliarity with data governance, metadata management, and data catalog solutions (e.g. Unity Catalog).\nExperience designing, building, and maintaining scalable ETL/ELT pipelines for structured and unstructured data.\nExperience working with relational databases, data warehouses, and data lakes.\nFamiliarity with other cloud-based data platforms and data services in AWS, Azure, or Google Cloud.\nKnowledge of workflow orchestration tools such as Apache Airflow, Prefect, or similar.\nFundamental usage of git-based code version control for python and SQL-based code-bases\nNice to Have\nMSc in Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, or a related field.\nPhD or advanced specialization in Data Engineering, Computer Science, or a related field.\nExperience with streaming technologies such as Apache Kafka, Spark Streaming, or Apache Flink.\nExperience using Lakehouse Catalog technologies (e.g. Delta, Iceberg) featuring data versioning, ACID and time-travel as well as performance tuning techniques (e.g. Liquid Clustering)\nExperience with data contracts, data quality checking automation using schema and value-matching techniques\nExperience with modern data warehouse technologies such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.\nFamiliarity with containerization and orchestration technologies such as Docker and Kubernetes.\nExperience implementing CI/CD pipelines for data engineering workflows (e.g. Azure DevOps, Databricks Bundles).\nKnowledge of Infrastructure as Code such as Terraform, CloudFormation, or similar.\nOther Qualifications\nFluent in English.\nNative or fluent Greek, both written and spoken.\nEligible to work in Greece.\nBenefits\nParticipation in state-of-the-art projects and tech challenges\nPersonal and professional development, amongst industry experts and talented people\nContinuous learning, having access to broad resources for professional and personal development\nFriendly environment and fun team member\nCommitment to Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, or other characteristics. We respect your personal data.\nAll personal information in your application and CV will remain strictly confidential.","description_format":"text","description_chars":4208,"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":"Greek","level":"Advanced (C1)","optional":true},{"language":"English","level":"Advanced (C1)","optional":true}]},"benefits":["Continuous learning","Professional development"],"hiring_locations":[{"name":"Greece","iso":"GR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-11T05:44:42Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.356,"p_room":0.28,"age_days":86,"expected_fill_days":23,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/incelligent-data-engineer-cloud","json_url":"https://alion.io/job/incelligent-data-engineer-cloud.json","meta":{"generated_at":"2026-10-28T20:51:35Z","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":28873,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":682877},"rest":"https://alion.io/mcp/rest/get_company?id=682877"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fincelligent-data-engineer-cloud"},{"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%2Fincelligent-data-engineer-cloud"},{"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%2Fincelligent-data-engineer-cloud"},{"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/incelligent-data-engineer-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fincelligent-data-engineer-cloud"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":715132}},{"tool":"search_jobs","arguments":{"company":"incelligent.net","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":715132},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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