{"id":439481,"url":"https://alion.io/job/samba-tv-senior-data-engineer","title":"Senior Data Engineer","company":{"id":171913,"name":"Samba TV","domain":"samba.tv","url":"https://alion.io/company/samba-tv","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":55,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":143,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":312000,"max":395000,"currency":"PLN","period":"year","gross":null,"usd_annual":101720},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-03-23T13:21:42Z","employer_posted_date":"2026-03-23","last_verified_at":"2026-10-31T19:25:21Z","board_verified":true,"closed_at":null,"days_open":222,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":221},"description":"As a Senior Data Engineer, you will be responsible for leading the development of scalable, high-performance data pipelines and infrastructure that power Samba analytics and insights. You will play a critical role in designing and implementing architectural improvements, ensuring best practices, and mentoring a team of engineers. You will collaborate closely with Data Science, Analytics, and Product teams to deliver robust, production-ready data solutions that drive business impact.\nWhat You'll Do\nArchitectural Leadership: Lead the design and development of scalable, high-performance data pipelines and infrastructure that power Samba TV's analytics.\nComplex Problem Solving: Resolve complex technical issues in creative and effective ways, understanding the interrelationships of different disciplines.\nProduction Dataset Management: Lead the design, build, and maintenance of high-scale production datasets. Ensure the delivery of versioned outputs and reliable customer-facing reports.\n Schema Evolution & Lifecycle: Manage the end-to-end lifecycle of data features - adding new attributes, updating business logic, and executing safe rollouts (staging → performance check → production), including complex backfills and reprocessing.\nPerformance & Cost Engineering: Architect scalable and efficient solutions for data ingestion, transformation, and storage, ensuring performance, reliability, and security. Proactively drive down compute and storage costs.\nIncident Response & Debugging: Serve as a technical lead for production incidents. Investigate root causes, implement permanent fixes, and validate data recovery across the ecosystem.\nCross-Functional Influence: Network with key contacts outside your own area of expertise and frequently advise others on complex matters.\nMentorship: Guide the development of new policies and ideas while mentoring and guiding other engineers to foster a culture of technical excellence.\nObservability: Enhance monitoring and observability of data processes, improving debugging, error detection, and system reliability at scale.\nWho You Are\n Experience: Typically 8+ years of related experience with a Bachelor’s degree (or 6 years with a Master’s; 3 years with a PhD).\nTechnical Mastery: Advanced knowledge of Python and deep understanding of distributed data processing frameworks like Apache Spark or PySpark.\nOrchestration Expertise: Must-have expertise in Apache Airflow and Databricks for orchestration and scalable data processing.\n Infrastructure: Extensive experience with cloud-based data infrastructure (AWS, GCP) and modern data lake architectures.\nData Modeling: Strong knowledge of data modeling, database design, and query optimization for both relational and non-relational databases.\nSoftware Excellence: Proven track record of driving best practices for code quality, testing, and software design in a data engineering context.\n Communication: Ability to adapt your communication style and use persuasion when delivering messages that relate to the wider firm business.","description_format":"text","description_chars":3038,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Media & Audience 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