Pearson Jobs

umer. Learn more at <a href="https://plc.pearson.com" target="_blank">We are Pearson.</a></p><p>We value the power
force, navigate to: <a href="https://plc.pearson.com/en-GB/careers/diversity-equity-inclusion" target="_blank">Diversity, Equity & Inclusion at Pearson.</a></p><p>If you are an indi
dations by emailing <a href="mailto:" ppsmhr@pearson.com> ppsmhr@pearson.com.</a></p><p>Note that the info

Job Information

Pearson Data Engineer in Spain

Are you ready to embark on an exciting journey that adds to a lifetime of learning? Pearson is offering you a chance to make an impact and be part of an incredible venture. We are looking for passionate individuals who are tech-savvy and ready to shape the future of education.

About Pearson:

At Pearson, our purpose is to 'add life to a lifetime of learning' so everyone can realize the life they imagine. Since our founding in 1844, we've continuously evolved to meet the demands of an ever-changing market. With over 18,000 dedicated employees, we create high-quality, digital-first, accessible, and sustainable resources for lifelong learning.

About ELL (English Language Learning):

We aspire to become the world's leading destination for learning and improving English language skills. Our focus is on committed learners from around the globe who are motivated by outcomes, as they strive to reach their full potential through English language acquisition.

About the Role:

Are you passionate about data? Wanting a role where you can have a real impact? We're thrilled to announce a fantastic opportunity to join our team as a Data Engineer. We're expanding our Engineering team within the ELL Division, specifically within the Data & Analytics team. This is your chance to collaborate with top-notch professionals, work on cutting-edge projects, and contribute to building a thriving tech community.

As a Data Engineer, you'll work with cross-functional teams to understand their data requirements, create and automate data pipelines, optimize data workflows, and more. Your expertise will be critical in developing and maintaining scalable data solutions that support data analytics, machine learning, and business intelligence initiatives.

Key Accountabilities:

  • Data Pipeline Development: Design, build, and maintain efficient and reliable data pipelines to extract, transform, and load data from various sources into our data warehouse or data lake.

  • Data Modeling: Create and maintain robust data models that align with business requirements and ensure data integrity, accuracy, and consistency across the organization.

  • Data Transformation: Develop data transformation processes and ETL (Extract, Transform, Load) workflows to convert raw data into meaningful insights and prepare data for analysis.

  • Data Quality: implement and contribute to data quality standards to maintain high-quality data throughout the data lifecycle.

  • Performance Optimization: Identify performance bottlenecks in data processing pipelines and optimize data flows for speed and efficiency.

  • Monitoring and Troubleshooting: Monitor data pipelines, identify and resolve data-related issues promptly to ensure data availability and accuracy.

  • Documentation: Create comprehensive documentation for data pipelines, data models, and other relevant data engineering processes to facilitate knowledge sharing and onboarding.

Experience, Skills, and Knowledge :

  • Most important skill: Self-drive, proactiveness, and passion. We are building a vibrant team, and these attributes are essential.

  • Hands-on experience in ETL and data transformation techniques to process and cleanse data effectively.

  • Proficiency in programming languages: Python and SQL

  • Fluent in Linux environments and GIT version control.

  • Working knowledge of GCP and BigQuery.

  • Working knowledge of parallel processing frameworks such as Apache Beam and PySpark is a plus.

  • Knowledge of structured, semi-strustured and unstructured data.

  • Experience with other relational databases: such as: SQL Server, MySQL, Oracle DB is a plus.

  • Experience with NoSQL databases such as: Mongo DB, Firestore, is a plus.

  • Knowledge of structured, semi-structured, and unstructured data.

  • Knowledge of CI/CD and DevOps is a plus#

  • Real experience in Agile development.

  • Excellent communication and interpersonal skills to collaborate effectively with diverse teams and stakeholders.

  • Soft skills: Analytical thinking, curiosity, continuous learning, and a collaborative problem-solving mindset.

Our Benefits:

  • 24 days of annual leave (increasing by 1 day with every 2 years of continuous service up to 30 days).

  • Bonus Plan

  • Life insurance.

  • Private Medical Insurance

  • Development & Training Benefits

  • Flexible work schedule

Location : Spain, remote or hybrid*.

*If you live in Madrid, you'll be able to enjoy our brand-new office because we have a hybrid working model policy in place.

If you're ready to take your career to the next level, join us in transforming the world of English language learning and education technology. Apply now and be part of a dynamic team dedicated to enhancing lifelong learning experiences. Your passion and skills will play a vital role in helping learners around the world reach their full potential through English language education.

What to expect from Pearson

Did you know Pearson is one of the 10 most innovative education companies of 2022?

At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson.

We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.

Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities.

To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: Diversity, Equity & Inclusion at Pearson.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing ppsmhr@pearson.com.

Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.

Job: TECHNOLOGY

Organization: English Language Learning

Schedule: FULL_TIME

Req ID: 14599

#LI-REMOTE

DirectEmployers