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 AI 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 are 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.
Qualifications & Competences:
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.
* 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.
* Great communicator, both verbal and written.
* Pressure Player: Thrives under pressure, even within complex organizational landscapes.
* English Pro: Proficiency in English is non-negotiable.
What do we offer:
* Semi-annual bonus on target achievement
* Remote or Hybrid work
* 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
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