DATAIS, a consultancy specializing in the design and execution of data and artificial intelligence projects, adopts an integrated approach to cover the entire data cycle and strategy. As a network of expert professionals, DATAIS fosters trust and collaborates to provide data and IA solutions, and tailored support services, including training and consulting.
Born as a Spin-off of VISUALITICS focused on data analysis and visualization expertise, our projects have expanded to engage with diverse aspects of the data landscape.
We want to empower our clients with a competitive advantage by unlocking true value and creating meaningful, actionable and timely business insights with our ability to use state-of-the-art technologies and algorithms. We develop the strategic, technical, and human capabilities that take companies from vision to value and create truly data-driven organizations.
We are now looking for Data Engineers (3+ years of experience) to join our team based in Madrid. Would you like to work in a young and friendly environment? If you love technology, challenges and willing to contribute to our mission…then you could be the person we are looking for!
Tareas As a Data Engineer you will: Design and implementation of solutions processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture) Design, build and maintain big data architecture and data pipeline Develop and implement CI/CD pipeline automation solutions. Implementation, optimization and testing of modern DWH/Big Data solutions based on Azure cloud, GCP or AWS platform and Continuous Delivery / Continuous Integration environment Data processing efficiency improvement, migrations from on-prem to public cloud platforms. Build relationships with client stakeholders to establish a high level of rapport and confidence Work with clients and teams to deliver modern data products You are a very creative person, who drives to build your own prototype solutions and provides training and guidance to team members and partners. Requisitos Qualifications & Compentences: 3+ years of experience in Data Engineering field
Degree in Engineering, Computer Science, or other scientific fields Data Enthusiast: Driven by a passion for data and technology. ETL Maestro: Skilled in orchestrating ETL processes with precision and finesse. Spark Wizard: Adept at conjuring data cleaning and transformation magic in a Spark/Scala environment using Python. SQL Sage: Master of SQL and the Apache Spark realm. OLAP Explorer: Navigates OLAP architectures with ease. Cloud Commander: Technically savvy in architecting and managing cloud-based solutions. DevOps and Kubernetes explorer: Loves working collaboratively and follows best practices in Git and DevOps and best practices Steers the ship of Kubernetes even if you're just starting out. Data Alchemist: Comfortable with schema-on-read databases like Redis. Meticulous Organizer: Possesses an eye for detail and organizational finesse. Independent Trailblazer: Thrives when working proactively and autonomously. Problem-Solving Maestro: Solves challenges through information gathering, thoughtful evaluation, and ingenious solutions. Greate communicator, both verbal and written Pressure Player: Thrives under pressure, even within complex organizational landscapes. English Pro: Proficiency in English is non-negotiable.r data and technology Beneficios What do we offer: Competitive salary Semi-annual bonus on target achievement Flexible Benefits Remote or Hybrid work Flexible working hours Wellness days Friendly and challenging working environment Lifelong learning mindset with budget for certifications, training and personal development Be protagonist of disruptive tech events in collaboration with several tech communities, scaleups, Universities and Bootcamps Become a part of our community on LinkedIn to discover more about our activities and stay updated on all the latest news in machine learning, big data, and AI. Join Datais People on meetup .com/es-ES/datais/ to receive updates on our upcoming events.
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