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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:TalentExperienceGlobalTeam@grp.pearson.com"> TalentExperienceGlobalTeam@grp.pearson.com.</a></p><p>Note that the info

Job Information

Pearson Senior Data Engineer in Spain

Job title: Data Engineer

Department: ELL Technology

Business Unit ELL

Job Grade C2

Number of positions 1

Manager Alba Puig

About Pearson: Our purpose: At Pearson we ‘add life to a lifetime of learning’ so everyone can realise the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. Pearson was founded in 1844 and has been built on our ability to grow with and adapt to a constantly evolving market. Our 20,000+ employees are dedicated to creating the high-quality, digital-first, accessible and sustainable resources for lifelong learning.

About ELL: We aspire to become the world's leading destination to learn and improve English language skills. Our main focus is on committed learners from around the world, who are motivated by outcomes because they want to reach their full potential through learning English.

About the role: Are you passionate about technology and eager to be part of an exciting venture? We are thrilled to announce a great opportunity to join our team as a Data Engineer. We are looking for talented individuals from all backgrounds and experiences to join us on this exciting journey as we grow our Engineering team within our ELL Division, and more specifically within the Data & Analytics team. As a Senior Data Engineer, you’ll play a pivotal role in designing and optimizing data pipelines, empowering our organization with seamless data flows and actionable insights. If you thrive on solving complex data challenges and have a passion for innovation, we want you on our team!

Key Responsibilities:

Data Pipeline Mastery: Architect and maintain high-performance data pipelines to extract, transform, and load (ETL) data from diverse sources into our data warehouse.

Data Modelling Excellence: Build robust, scalable data models that align with business goals and ensure the highest levels of data integrity, accuracy, and consistency.

Data Transformation Wizardry: Develop cutting-edge workflows to turn raw data into meaningful insights, powering decisions across the organization.

Database Solutions: Implement and manage storage solutions using both relational and NoSQL databases, as well as cloud-based systems like GCP, ensuring scalable and secure data handling.

Data Governance & Quality: Champion data governance practices and implement quality control measures to maintain pristine data throughout its lifecycle.

Data Security Guardian: Safeguard data through rigorous security protocols, ensuring compliance with privacy regulations and industry standards.

Performance Optimization: Identify and eliminate bottlenecks in data processing pipelines, ensuring fast, efficient, and reliable data flow.

Monitoring & Troubleshooting: Create proactive monitoring systems for pipelines and data quality, and quickly resolve any issues to guarantee continuous data availability.

Comprehensive Documentation: Document data pipelines, models, and processes with clarity, ensuring smooth knowledge transfer and team onboarding.

What You’ll Bring:

Passion & Drive: Self-starters with a proactive mindset and passion for innovation will thrive in our dynamic environment.

ETL Expertise: Hands-on experience in data transformation and cleansing techniques.

GCP Proficiency: Solid experience with GCP, especially BigQuery, Cloud Composer (Airflow), and Dataflow.

Tech Stack Savvy: Mastery of Python and SQL. Familiarity with DBT, PySpark, and additional languages (JavaScript, Go, Rust) is a bonus.

Data Variety: Deep understanding of structured, semi-structured, and unstructured data types.

Database Knowledge: Expertise in transactional databases (SQL Server, MongoDB, MySQL, Oracle).

CI/CD & DevOps: Experience with CI/CD practices and collaborative tools for seamless deployment and integration.

Agile Mindset: Real-world experience in Agile development environments, embracing collaboration and continuous improvement.

Soft Skills that Matter: Analytical thinking, unrelenting curiosity, teamwork, and a problem-solving approach are key to success.

Ready to innovate and make an impact with your data engineering skills? Join us and be part of a forward-thinking, vibrant team that values growth and collaboration.

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 TalentExperienceGlobalTeam@grp.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

Workplace Type: Hybrid

Req ID: 17381

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