Hello, let’s meet! Who We Are While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started. What We Do We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland! Beyond Projects What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow. What sets us apart? Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself. You will be: - responsible for end-to-end ownership of the Snowflake-based data platform architecture, from design through production; - ensuring architectural consistency and quality across all implementation teams, - driving execution across distributed teams, including close collaboration with India-based delivery teams as well as acting as the primary technical counterpart for senior US-based stakeholders - operating in global delivery models across multiple time zones, - translating business objectives into concrete, executable technical plans, - making fast, pragmatic architectural decisions while effectively managing trade-offs, - unblocking teams and resolving cross-team technical dependencies, - defining and enforcing architectural standards, patterns, and guardrails, - ensuring production readiness, including scalability, security, governance, and operational robustness, - supporting rollout and early production phases when required. Your profile: - Technical skills: - deep, hands‑on experience with Snowflake as a core enterprise data platform, - proven track record of delivering large‑scale data platforms, not just designing them, - strong understanding of modern enterprise data platform architectures, - practical experience with data ingestion, transformation, and modeling patterns, - hands‑on experience with dbt or equivalent transformation frameworks, - solid understanding of cloud platforms (even if Snowflake is the core layer), - strong knowledge of security, governance, and operational considerations in production systems. - Leadership & Delivery: - ability to take full technical ownership without supervision, - confidence working directly with senior client leadership and decision makers, - strong decision‑making skills under ambiguity and time pressure, - delivery‑oriented mindset with high accountability, - ability to lead by authority, clarity, and execution discipline (without formal authority), - excellent communication skills, including the ability to clearly say “no” and define trade‑offs, - Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: - experience supporting early production or hypercare phases, - background in highly regulated or data‑sensitive environments, - previous experience acting in a Field CTO, Principal Architect, or equivalent role, - experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, - interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision

Title: Senior Data Engineer Location: New York United States Job Description: NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. The Media Group at NBCU supports a powerhouse collection of consumer-first brands including Peacock, NBC, Bravo, NBC Sports, and NBCU International. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We're always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we're backed by a culture of respect. We embrace authenticity and inspire people to thrive. As part of the Media Group Decision Sciences team, the Senior Data Engineer will be responsible for creating a connected data ecosystem that unleashes the power of our streaming data.  We gather data from across all customer/prospect journeys in near real-time, to allow fast feedback loops across territories; combined with our strategic data platform, this data ecosystem is at the core of being able to make intelligent customer and business decisions. In this role, the Senior Data Engineer will share responsibilities in the development and maintenance of data pipelines that facilitate data driven machine learning, as well as support ongoing operations related to the Media Group data ecosystem Responsibilities include, but are not limited to: - Collaborate with a high-performance team of Data Engineers - Contribute to and facilitate design, build, testing, scaling, and maintaining data pipelines from a variety of source systems and streams (Internal, third party, cloud based, etc.), according to business and technical requirements. - Deliver observable, reliable and secure software, embracing "you build it you run it" mentality, and focus on automation and GitOps. - Continually work on improving the codebase and have active participation and oversight in all aspects of the team, including agile ceremonies. - Take an active role in story definition, assisting business stakeholders with acceptance criteria. - Work with Principal Engineers to share and contribute to the broader technical vision. - Develop and champion best practices, striving towards excellence and raising the bar within the department. - Develop solutions combining data blending, profiling, mining, statistical analysis, and machine learning, to better define and curate models, test hypothesis, and deliver key insights - Operationalize data processing systems Qualifications - 3+ years relevant experience in Data Engineering - Programming skills in one or more of the following: Python, Java, Scala - Proven ability to write reusable/efficient code to automate analysis and data processes - Intermediate level of experience querying relational databases with SQL - Demonstrated experience implementing scalable, distributed, and highly available systems in a cloud ecosystem - Ability to work with graph-based data workflows (e.g., Apache Airflow) - Ability to develop data catalogs while ensuring clarity and correctness of key business metrics - Experience building streaming data pipelines using Kafka, Spark or Flink - Data modelling experience (operationalizing data science models/products a plus) - Bachelor's degree with a specialization in Computer Science, Engineering, Physics, other quantitative fields or equivalent industry experience. Desired Characteristics - Experience in processing structured and unstructured data into a form suitable for analysis and reporting with integration with a variety of data metric providers ranging from advertising, web analytics, and consumer devices - Experience building and deploying ML pipelines: training models, feature development, regression testing - Strong Test-Driven Development background, with understanding of levels of testing required to continuously deliver value to production. - Experience with large-scale data for analytics (media experience a plus) - Ability to work effectively across functions, disciplines, and levels - Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills - Ability to surface and navigate differing perspectives constructively to drive alignment and sound technical decisions - Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal Additional Requirements - Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time. - This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $115,000 - $145,000 Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

Role Description Unser Bereich Customer Management entwickelt und betreibt auf einer skalierenden AWS-Infrastruktur eine wachsende Zahl an datengetriebenen Lösungen mit signifikantem Business Impact. Dafür arbeiten Platform Engineers, Data Engineers und Data Scientists gemeinsam an modernen Technologien, um unseren Fachabteilungen maßgeschneiderte, datengetriebene Services zur Verfügung zu stellen. - Produktentwicklung und Betrieb: Du stellst den reibungslosen operativen Betrieb eines AWS-basierten Produkts zur Ermittlung von Kundenpräferenzen sicher und entwickelst dieses stetig weiter. - End-to-End Projektarbeit: Von der Konzeption bis hin zur Analyse begleitest Du Projekte gemeinsam im Team. - Data Engineering: Die Entwicklung unserer Daten-Pipelines liegt in Deiner Hand. - Datenqualität und Betrieb: Du etablierst Datenqualitätsprüfungen, Monitoring und Alerting und unterstützt beim Incident-Handling. - Produkt und Business-Logik: Du implementierst Business-Logik im Produkt und stellst sicher, dass Anforderungen sauber in Datenstrukturen und Transformationen übersetzt werden. - Stakeholdermanagement: Du stehst im engen Austausch mit den Fachbereichen zur Abstimmung von Betrieb und Plattform-Ausrichtung. Qualifications - Abgeschlossenes Studium (z. B. Physik, Mathematik, Informatik, Wirtschaftswissenschaften) oder eine vergleichbare Qualifikation. - Praktische Berufserfahrung als Data Analytics Engineer, Data Scientist, Data Engineer oder in einer vergleichbaren Rolle. - Sehr gute Python-Kenntnisse für die Pipeline- und Softwareentwicklung. - Gute SQL-Kenntnisse für die Datenmodellierung und -analyse. - Kenntnisse im Aufbau, Betrieb und in der Wartung von Daten-Pipelines. - Erste Berührungspunkte mit AWS (z. B. Glue, Lambda, Step Functions) sowie Spark/Databricks sind ein Plus. Benefits - Mobiles Arbeiten. - Flexible Arbeitszeiten. - Gesundheitsvorsorge. - Mitarbeitervergünstigungen. - Team- und Firmenevents. - Mitarbeiterfahrzeug. Contact Dennis Rahim HR-Manager

• Build and maintain data ingestion pipelines from APIs and other data sources • Write efficient Python and SQL for data transformation and processing • Support ETL/ELT workflows, microservices and ensure timely data availability • Troubleshoot pipeline failures and assist in performance improvements • Assist in ingestion and modeling of data from Meta Ads and similar platforms • Help create datasets for campaign performance reporting and lead funnel tracking • Work with marketing and analytics teams to understand data requirements • Support analysis related to lead quality and campaign performance • Implement basic data validation checks • Monitor pipelines and resolve data issues • Maintain documentation for pipelines and datasets