Data Engineer

Source is an ecosystem of independent technology companies behind responsible access to web data. Source works behind the scenes, providing shared standards and dedicated support that help each company grow. The culture follows the same idea: colleagues work across the ecosystem, share what they know, and hold a high bar, so a good idea in one place can create an advantage everywhere. In this role, you will: Architect and maintain robust data models by conducting thorough analysis of our complex data ecosystem to define clear relationships between data sources. Engineer and optimize scalable, high-performance data pipelines using Google Cloud Platform and Airflow. Translate complex business logic into efficient transformations while maintaining rigorous standards for data quality and system reliability. Develop internal applications, automations, and reverse ETLs using Python. Collaborate with cross-functional teams to identify automation opportunities and translate business challenges into scalable technical solutions. Your skills & experiences: Proficiency in at least one programming language, ideally Python. Experience with cloud infrastructure (ideally Google Cloud or AWS). Knowledge of best DataOps practices and tools including version control systems (e.g., Git), Terraform, Docker, Kubernetes, and CI/CD. Excellent SQL knowledge and understanding of data modelling/data warehousing principles. Structured mindset approach to problem solving, clear and concise communication, high degree of ownership, keen eye for detail and troubleshooting. Fluency in English and Lithuanian, written and spoken. Nice to have: Familiarity with agent frameworks (e.g., LangChain, Claude Agent SDK, Google ADK) or workflow automation tools (e.g., n8n.io). Experience with event streaming platforms, such as Kafka or Redpanda. Proficiency in ClickHouse and other OLAP databases. A technical aptitude and comfort with engineering-related discussions. Salary & Benefits: Gross salary: 3500 - 5000 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://source.ai/career/blog/benefits Up for the challenge? Let’s talk! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. … mais Benefícios do seu anúncio de vaga Medical insurance Sobre a empresa Source.ai 2.599 seguidores Seguir Atividades dos serviços de tecnologia da informação • 501-1000 funcionários • 110 no LinkedIn Every next has a source. Source is a data ecosystem for a world built on intelligence. We bring together independent technology companies connected by shared standards, strategic support, and a common belief in responsible access to the world's data. Our ecosystem includes Oxylabs, Decodo, Webshare, ScrapingBee, and Honeygain, along with new ventures in development. Each company operates independently, with its own team, products, and market presence, while drawing on shared intelligence and scale. Today, our 800+ people power the next generation of products, models, and decisions. Join us to build at the frontier of data and intelligence.