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Data Engineer Job Opening In Madrid – Now Hiring DATAIS


Job description

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.



DATAIS was created to cover the entire data cycle & strategy.

A spinoff from VISUALITICS, which focuses on analytics and visualization.


We help to create, shape and connect multiple data sources and environments, building data structures with harmony and integrity.


We partner with companies to discover, define, and build the best data products and data strategies to meet their business needs


We help people & organizations to get value from their data.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Madrid, Spain, highlighting market share and opportunities for professionals in Data Engineer roles.

98972 Jobs in Spain
98972
29980 Jobs in Madrid
29980
Download Data Engineer Jobs Trends in Madrid and Spain

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at DATAIS adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Spain laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Madrid. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer?

Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineer?

To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer Job Success

DATAIS interview tips for Data Engineer

Here are some tips to help you prepare for and ace your Data Engineer job interview:

Before the Interview:

Research: Learn about the DATAIS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer interview at DATAIS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the DATAIS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Data Engineer Positions

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