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Data Engineer (m/f/x) Job Opening In madrid – Now Hiring Global Savings Group


Job description

Global Savings Group (GSG) is Europe’s leading shopping rewards and recommendation company.

Our mission is to create rewarding moments for consumers and empower them to make the best shopping decisions in a smart, fair, and enjoyable way.To achieve that, we run market-leading platforms that provide our users with the best savings, cashback, deals , shopping inspiration, and trustworthy reviews from real users.

We have over 7 0 nationalities represented among 1000+ talented colleagues spanning 10 countries , welcoming very diverse backgrounds which range from tech enthusiasts to online marketers, key account managers, or editors.

With us, you will be able to work on projects with an international footprint, leaving your mark in the industry and becoming a true driver of change.

About this role :

We are looking for a Data Engineer to join our team and help integrate the different brands in Global Savings Group.

The Data Domain is part of our Product and Technology team and is autonomous and co-functional, consisting of 30 people on 4 different teams operating in an agile and customer centered environment, mainly working with but not exclusive to AWS Big Data solutions.

We need a new Data Engineer to help design, develop, and maintain data solutions to manage and convert multiple data sources into actionable intelligence that our stakeholders can use to continually improve our service for our users.

The new Data Engineer will continue our efforts to collect millions of events from the frontend and backend of dozens of websites our company operates, fetch financial data from hundreds of partners to consolidate them into revenue metrics and targets for our commercial teams and work with marketing data from internal and external sources to create efficient marketing funnels.

Responsibilities
  • Develop the source of truth and performant data models in a data driven company with billions of events and millions of transactions transforming large, complex and disparate datasets into the basis for explorable, understandable and accurate data products.

  • Manage ETL / ELT Processes, Data Flows, and Data Engineering Solutions using AWS services such as S3, EMR, EC2, Glue, Kinesis, Athena, Lambda functions, etc.

  • Write scalable, efficient, and thoroughly tested code to ensure Quality, Reliability and Accuracy of Data Products.

Your Profile
  • You are familiar with ETL / ELT development, data flows and processing Data at scale - you know how to process multiple TB of ingested data per day.

  • You have familiarity implementing services and solutions in the realm of Big Data, Analytics, or Data Engineering, with proficiency in Cloud Platforms.

  • You bring strong experience with Python, Scala and / or Java.

  • Experience with Spark, Flink, MapReduce / Hadoop, or similar products.

  • You are knowledgeable about relational and non-relational databases and advanced query authoring (SQL and NoSQL).

  • You know how to work with an agile mindset and have enthusiasm and passion to design / develop data-driven products.

  • You have attention to detail and an understanding of data visualization best practices with BI tools such as Apache Superset, Tableau, Power BI, Looker, etc.

  • You have fluent verbal and written communication skills in English.

Our Benefits
  • A culture that cherishes your individual and professional development (Internal Mobility)
  • An open-minded team that embraces new ideas, perspectives, and methodologies
  • 32 days of paid vacation + your birthday off
  • Flexible hybrid working scheme
  • Learning budget + Internal trainings
  • Mental Health Coaching
  • Global and Local get-togethers
  • Possibility of taking a sabbatical after 2 years in the company
  • Cloud-based company
  • These are global benefits which every employee has access to.

    On top of that, we have local benefits that adhere to each specific location.

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Required Skill Profession

Other General


  • 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.

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Are You Looking for Data Engineer (m/f/x) Job?

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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 Global Savings Group 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

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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.

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Interview Tips for Data Engineer (m/f/x) Job Success

Global Savings Group interview tips for Data Engineer (m/f/x)

Here are some tips to help you prepare for and ace your Data Engineer (m/f/x) job interview:

Before the Interview:

Research: Learn about the Global Savings Group'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.

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

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

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Final Thought:

To prepare for your Data Engineer (m/f/x) interview at Global Savings Group, 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 Global Savings Group'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!

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