{"id":2211455,"url":"https://alion.io/job/sportradar-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":4377808,"name":"Sportradar","domain":"thesportsmanholding.com","url":"https://alion.io/company/sportradar","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vienna, Austria"],"countries":["AT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":109000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Go","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-03T03:30:05Z","employer_posted_date":null,"last_verified_at":"2026-10-03T03:30:05Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"Senior Data Engineer\n\nVienna\nWe're the world's leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. \n\nABOUT US: \n\n The Ads Analytics team is the backbone of our advertising intelligence platform, processing terabytes of data daily from programmatic, social, and search advertising channels. We build end-to-end solutions that transform raw advertising data into actionable business insights and leverage rich analytics data to create sophisticated sport audience segments. \n\nTHE CHALLENGE \n\nWe're scaling rapidly and need a senior data engineer who can take ownership of complex, multi-faceted data projects. You'll be tackling challenges like: \n\nScale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily \n\nData Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights \n\nInfrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems \n\nCross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively \n\nEnd-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions \n\nABOUT YOU \n\n5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery \n\nExceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders \n\nAWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing \n\nBackend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics \n\nInfrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems \n\nClean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements \n\nData Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows \n\nDashboard Development: Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders \n\nGenAI Tools (beneficial): Experience working with contextual and prompt engineering with GitHub Copilot, Claude, or similar AI assistants \n\nOUR OFFER: \n\nA collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) \n\nAbility to shape your own workday and career via a clearly defined professional and personal development plan \n\nOpportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment. \n\nA vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants \n\nA company culture that promotes social aspects, sports, physical exercise and fun. \n\nInnovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions. \n\nCompetitive salary and benefits (e.g. retirement pension and insurance plan) \n\nSportradar takes over the full costs of EUR 365.- for the Öffi-Ticket (Jahreskarte) for you \n\nOUR RECRUITMENT PROCESS: \n\nInitial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. \n\nTechnical: Theoretical Interview: 60 minutes to discuss your technical skills on the theoretical level with the technical team. \n\nTechnical: Coding Interview: 60 minutes of live coding where we do not access the end result but rather the candidate's approach (clean code and thinking process). \n\nSystem Design Interview: 60 minutes to solve a high-level problem with certain requirements. \n\nFinal Steps: Receive final feedback while onsite visit might be requested and, if successful, an offer! \n\n We believe great products are built by great teams working closely together. While we offer flexible working hours, this role is fully office-based, as we strongly value in-person collaboration, knowledge sharing, fast decision-making, and team connection. We see working together onsite as a key driver of innovation, learning, and success. Certain exemptions may apply depending on location - your local point of contact can provide further details. \n\nThe minimum monthly salary for this position is according to the Collective Bargaining Agreement. Overpayment will be considered depending on qualifications and working experience. \n\nAt Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) - we believe skills evolve over time. If you're willing to learn and grow with us, we invite you to join our team! \n\nApply now","description_format":"text","description_chars":6571,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-10T02:49:30Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.793,"p_room":0.945,"age_days":9,"expected_fill_days":22,"reasons":["seen:9","win:mid"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/sportradar-senior-data-engineer-2","json_url":"https://alion.io/job/sportradar-senior-data-engineer-2.json","meta":{"generated_at":"2026-10-12T17:16:05Z","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":27638,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":4377808},"rest":"https://alion.io/mcp/rest/get_company?id=4377808"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsportradar-senior-data-engineer-2"},{"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%2Fsportradar-senior-data-engineer-2"},{"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%2Fsportradar-senior-data-engineer-2"},{"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/sportradar-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsportradar-senior-data-engineer-2"}]}