{"id":3567241,"url":"https://alion.io/job/talentwelove-seniorprincipal-data-engineer","title":"Senior/Principal Data Engineer","company":{"id":692181,"name":"TalentWeLove","domain":"talentwelove.com","url":"https://alion.io/company/talentwelove","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"D","score":40,"open_postings":17,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":79000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"C++","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"Ansible","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"Configuration Management","optional":true},{"name":"Docker","optional":true},{"name":"DynamoDB","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Hadoop","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Memcached","optional":true},{"name":"MySQL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Presto","optional":true},{"name":"Redis","optional":true},{"name":"Rest API","optional":true},{"name":"Room","optional":true},{"name":"Snowflake","optional":true},{"name":"SOAP","optional":true},{"name":"Spark","optional":true},{"name":"TeamCity","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2023-01-20T14:25:02Z","employer_posted_date":"2023-01-20","last_verified_at":"2026-11-06T10:15:28Z","board_verified":true,"closed_at":null,"days_open":1385,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1385},"description":"Our client is expanding its R&D development team in Romania! To support the stronger demand for our client's data-driven solutions and as part of the strategy to expand, our client is currently looking for a Senior Data Engineer.\nAs a Data Engineer, you will have an exciting opportunity to contribute to our client's core data management project and build innovative solutions leveraging data services.\nTo succeed in this role, you must know how to examine new data system requirements and implement migration models, and also have proven experience in data analysis and management, with excellent analytical and problem-solving abilities.\nKey Responsibilities:\nExamines and identifies database structural necessities by evaluating operations, applications, and programming. Oversees the migration of data from legacy systems to new solutions\nUnderstands the needs around identified use cases and translates them into structured data in data warehouses/data marts\nBuilds an end-to-end layered data pipeline\nIdentifies commonalities between use cases to create a data catalog\nBuilds a master data management\nAutomates the quality assessment of unstructured data coming from existing products\nMonitors the system performance by performing regular tests, troubleshooting, and integrating new features\nExpected outcomes (accountability)\nInstalls and organizes information systems to guarantee feature completeness\nRecommends solutions to improve new and existing data-related base (sub-)systems - database, ETL engine, BI engine, etc.\nMakes technical decisions in projects under their responsibility\nSupports company’s ambitions towards data management by training others\nReviews & audits implementations\nOccasional visits to Paris, Den Haag, possibly others\nKey Requirements:\nBachelor's degree in Information Technology or related field\nAround 4 - 5 years experience in a similar role\nStrong knowledge of database structure systems\nExcellent technical and analytical skills\nImpactful decision maker\nProblem solver with a “can do”, positive and pragmatic attitude\nFluent English is a must-have\nProgramming Languages: Python is a must-have, .NET / Java / C++ / Bash are nice to have\nNoSQL/SQ L: database design, development and data modeling (e.g. MySQL, PostgreSQL, DynamoDB, Redshift, Elasticsearch, Redis, Memcached);\n\nBig Data Tools: data lakes (S3 & HDFS) / Snowflake Hadoop / Spark / Presto / Hive / Redshift / Kinesis / Kafka / EMR / AWS Batch / AWS Data Pipeline / Elasticsearch\n\nCloud: Azure / AWS and affiliated data management services\n\nDevOps & Automation: containers and container orchestration (Docker, ECS, Kubernetes), infrastructure as code (CloudFormation & Terraform), CI/CD pipelines (Jenkins & TeamCity), configuration management and orchestration (Ansible & Salt)\nSoftware Design: design patterns, event sourcing, CQRS, algorithms, microservices, web services (SOAP/REST), test-driven development (TDD), domain-driven design (DDD)\nOur Offer:\nRoom for personal development through external, internal training tools and learning and development program #GROW\nYearly performance bonus based on your seniority\nReferral bonus, meal vouchers, monthly allowance, gift vouchers twice a year\nCorporate Health Insurance\nMindfulness and Wellbeing programs\nUp to 28 days of annual leave based on seniority\nWe have a strong Work from Home culture and take into consideration punctual needs and more\nFlexible working 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