{"id":3524088,"url":"https://alion.io/job/softeta-senior-data-engineer-3","title":"Senior Data Engineer","company":{"id":688505,"name":"Softeta","domain":"softeta.com","url":"https://alion.io/company/softeta","size_band":"51-200","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kraków, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":108000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":111},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Agile","optional":true},{"name":"Apache Kafka","optional":true},{"name":"GCP","optional":true},{"name":"GDPR","optional":true},{"name":"Scrum","optional":true},{"name":"Tink","optional":true}],"status":"live","first_seen_at":"2026-10-30T13:22:58Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T00:12:04Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations - delivering custom software, automation, and AI where they drive the most value. Clients such as SEB, NordVPN, and CarVertical trust us with systems that serve millions of users globally. We strive for excellence, that’s why we created Cobble - Softeta’s own AI-native development workflow, built by our engineers, that standardizes how developers work with AI agents from requirement to working code.\nWe’re looking for an experienced Senior Data Engineer to join a project in the telecommunications sector, leading the architecture, migration, and optimization of production data pipelines using Airflow, Spark, dbt, BigQuery, and Python.\nJob description:\nPropose and lead the architecture for user-data workflows across Airflow, Spark, dbt, and BigQuery (encryption points, derived tables, backfills, partitions).\nSequentially migrate existing pipelines behind a custom regression harness to guarantee identical output.\nEstablish lasting engineering standards post-migration: code reviews, testing protocols, incident post-mortems, and release checklists.\nImplement verification jobs to validate end-to-end data lifecycle rules.\nParticipate in pipeline maintenance, incident response, and root-cause resolution.\nDocument design choices using Architecture Decision Records (ADRs).\nRequirements\nDeep hands-on experience with Airflow, Spark, dbt, BigQuery, and Python.\nProven track record leading a live pipeline migration technically from conception to completion.\nHands-on experience refactoring production pipelines while verifying identical output.\nDemonstrated success establishing engineering best practices (testing, code reviews, incident resolution) within a team.\n Concrete mentoring or technical leadership experience.\nNice to have:\nPrevious experience with encryption at rest, data retention policies, or regulatory compliance (e.g., GDPR).\nEnvelope encryption using key management services (GCP KMS), BigQuery AEAD functions, or Tink.\nBigQuery column-level security, policy tags, and Google Cloud Data Catalog.\nEvent-driven architectures using Apache Kafka.\nBenefits\nDiverse and technically challenging projects.\nTraining budget for professional and 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