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
Incentivos
**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