{"id":1862122,"url":"https://alion.io/job/twoday-data-engineer-2","title":"Data Engineer","company":{"id":3894426,"name":"Twoday","domain":"twoday.se","url":"https://alion.io/company/twoday-se","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Vilnius, Lithuania"],"countries":["LT"],"hiring_countries":["LT"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":345},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Teradata","optional":false},{"name":"Azure SQL Database","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2025-08-18T11:30:55Z","employer_posted_date":"2025-08-18","last_verified_at":"2026-10-05T00:28:54Z","board_verified":true,"closed_at":null,"days_open":412,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":412},"description":"Twoday is a leading Northern European AI and digital engineering company with 3,000 experts across AI, data & analytics, cloud, digital engineering, and business applications. We help organizations create lasting impact through advanced technology and close collaboration.\nThe company is on an ambitious growth and transformation journey across the Nordics. Twoday is a strategic partner to Databricks, Microsoft, and Snowflake, with deep expertise in modern data platforms, custom software, and business-critical enterprise solutions.\nTechnology stack:\nModern cloud data platform and analytics services:\nMicrosoft Azure (Azure SQL, Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric), Databricks (PySpark, SparkSQL), dbt, Power BI.\nIn this role, you will:\nDesign and develop modern data engineering solutions - including data pipelines, lakehouse architectures, and analytics platforms - for the largest companies and organizations in Nordics.\n\nDesign, build, and maintain scalable data integration and transformation pipelines across cloud-native data platforms.\n\nApply data modeling and governance best practices to ensure reliable, scalable, and business-aligned analytics solutions.\n\nCollaborate with customers and stakeholders to gather and translate requirements into technical solutions.\n\nOptimize pipeline and platform performance to meet scalability and reliability demands.\n\nContribute to documentation and knowledge sharing within the team.\n\nWork in agile teams, participating in planning, reviews, and continuous improvement.\n\nStay current with emerging data technologies and bring relevant innovations into your work.\n\nWhat do we expect?\nStrong communication skills and ability to collaborate effectively in a team environment.\n\n2+ years of experience in data engineering, data warehouse, or BI development.\n\nSQL skills with hands-on experience in data transformation and querying.\n\nExperience with cloud-native data platforms (Azure, AWS, GCP or similar).\n\nExperience with data integration and orchestration tools (Azure Data Factory, Apache Airflow, dbt, or similar).\n\nUnderstanding of data warehouse design and modern data modeling concepts (including Medallion architecture, lakehouse design, Star Schema or Data Vault).\n\nAnalytical mindset with strong problem-solving skills and ability to work independently.\n\nFluent English and Lithuanian.\n\nBonus points:\nExperience with Databricks, PySpark, or SparkSQL.\n\nFamiliarity with Microsoft Fabric or Snowflake.\n\nExperience with BI tools such as Power BI, Tableau, or Qlik.\n\nExperience with Python or C#.\n\nFamiliarity with CI/CD practices and version control tools (Git).\n\nWe value data experience in all forms:\nIf you have built your career on platforms such as SAP, Oracle, IBM, or Teradata and are ready\nto bring that expertise into the modern cloud data world - we want to hear from you.\nWhat should you expect?\nCommittees: from the conferences we attend to ideas like workplace design - you’ll have the chance to create an organisation you dream to work in by joining 1 of 10 our committees.\n\nHealthcare: health insurance and mental & emotional support from third-party consultants.\n\nPension accumulation: the state encourages participation in pension accumulation programs by applying tax benefits.\n\nFlextime: flexible working hours, flexible work from home policy, office workplace and free parking.\n\nLeisure together: excursions, team buildings, pizza Fridays, techie club, sports training or board games nights. We also have a sauna!\n\nGross salary: 2500 - 6375 EUR. Your salary is based on your competence and experience.\n\nThis role is open only to candidates with Lithuanian citizenship or a valid work permit in Lithuania. We are currently unable to relocate candidates from outside Lithuania or offer remote working opportunities outside Lithuania.","description_format":"text","description_chars":3851,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Lithuanian","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule","Health insurance"],"hiring_locations":[{"name":"Lithuania","iso":"LT","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-04T20:45:16Z"}],"visa":[],"liveness":{"score":3,"band":"cold","label":"Long shot","p_open":1,"p_active":0.123,"p_room":0.28,"age_days":412,"expected_fill_days":22,"reasons":["conf:1","win:tail","crowd:junior"],"computed_at":"2026-10-05T02:13:52Z"},"pay":null,"html_url":"https://alion.io/job/twoday-data-engineer-2","json_url":"https://alion.io/job/twoday-data-engineer-2.json","meta":{"generated_at":"2026-10-05T02:13:52Z","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":2925,"day_limit":5000,"remaining_today":2075,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}