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Data engineer — python / sql / dbt

Victoria de Durango, Dgo
Right Balance ®
De EUR 200,000 a EUR 400,000 al año
Publicada el 21 octubre
Descripción

At the heart of this organization is a mission to deliver player-focused entertainment experiences that go beyond traditional gaming. Their flagship title redefined the competitive multiplayer genre and now serves as the cornerstone of a global esports ecosystem, drawing millions of players and spectators alike. This company isn’t just developing games—they’re shaping modern interactive culture. With a commitment to deep storytelling, high-quality production, and community-driven design, they’ve expanded their universe into music, television, and cutting-edge animation. Their creations are more than just products; they are platforms for creativity, competition, and connection. As a data engineer, you will help shape how our client builds and maintains scalable, observable, and reliable data pipelines. You will work closely with product partners and technical leads to expand data processing, monitoring, and reporting capabilities, while ensuring best practices for data quality, security, and system efficiency. This role emphasizes observability, automation, and optimization—cleaning up unused tables, streamlining data pipelines, and ensuring data engineers and analysts can move quickly with confidence. You will also play a key role in supporting the lifecycle of ml and genai data workflows. You will bring your experience in data engineering and devops, with a strong focus on building and maintaining reliable pipelines using tools like dbt and airflow. You will report into the engineering manager of the team. Key responsibilities design, build, and enhance pipelines that make our client data ecosystem more reliable, observable, and efficient. Implement monitoring and observability frameworks to ensure pipelines are performant and resilient. Work with apis to build integrations, handle errors (http status codes, retries), and enforce secure credential management. Identify and clean up unused or redundant data tables to streamline system performance. Participate in code reviews, team rituals, and contribute to best practices in pipeline development. Collaborate with non-technical stakeholders to understand data requirements and deliver actionable solutions. Support live products via on-call rotations, ensuring uptime and reliability. Availability full-time. What’s in it for you? Learn and evolve your skills using the latest and greatest technology tools in a rapidly growing company. Learn from the best people around you. We constantly challenge the status quo and invent new ways of building a great product. 100% remote. Work anywhere, whether it is remotely in the comfort of your home, in a shared co‑working space, in an rv on the beach, or while being a nomad in another country. Work on challenging problems, innovate, and positively impact many people's lives while having fun doing it. Required qualifications upper-intermediate to fluent speaking and writing english. Able to have a real-time conversation. 5 years of full-time hands‑on python experience. 5 years of full-time hands‑on sql experience. 4 years of full-time hands‑on dbt experience. 4 years of full-time hands‑on airflow experience. 3 years of full-time hands‑on databricks/snowflake experience. Solid understanding of observability practices (logging, metrics, tracing) for data pipelines. Familiarity with devops practices (ci/cd, github actions, infrastructure as code). Experience building secure and resilient api integrations. Exposure to monte carlo, tableau, or similar tools for data quality and visualization. Experience with mlops or genai pipelines and infrastructure. Hands‑on experience with open‑source etl frameworks and modern orchestration platforms. Passion for improving developer experience through better tooling and automation. Nice to haves working knowledge of golang for tooling and automation. Bachelor’s degree in computer science or equivalent demonstrated ability. Frequently asked questions what are your typical clients? The majority of our clients are venture‑backed startups at the growth stage. Usually, at this stage, the company already achieved a product‑market fit and is looking to expand rapidly. That’s where we bring the best engineering practices, strong architecture, the latest technologies, and consistent processes to help companies scale. What is the length of your engagements? Most of our long‑term full‑time engagements last multiple years. It allows you to evolve your career with the client company taking on more responsibilities. What’s your company size? The right balance team is 55 engineers going to 75 by the end of the year. The current client size team is 150 people. The timing is great to be a part of a rapidly growing team making meaningful contributions. What happens if the engagement is completed? Most of our engagements are long‑term in nature. That said, if the current engagement is ramping down, we’ll present you with more long‑term opportunities to transition into. What are your core values? Client first: we only win when our clients win. We treat client challenges as our own. Ownership: we embrace responsibility, taking on challenges, getting them to completion, and enjoying getting things done. Quality: we’re passionate about achieving quality outcomes by applying meticulous attention to detail. J-18808-ljbffr

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