Senior Data Engineer
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 Senior 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. You will have the chance to collaborate with top-notch professionals, work on cutting-edge projects, and contribute to building a thriving tech community.
As a Senior Data Engineer, you will collaborate with cross-functional teams to understand their data requirements, create and automate data pipelines, optimize data workflows, and much more. Your expertise will be critical in developing and maintaining scalable data solutions that support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have a strong background in data architecture, database design, and data integration techniques.
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.
Database Management: Implement and manage data storage solutions, including relational databases, NoSQL databases, and cloud-based storage systems.
Data Quality and Governance: Establish data quality standards and implement data governance practices to maintain high-quality data throughout the data lifecycle.
Data Security: Ensure data security and compliance with data privacy regulations by implementing appropriate access controls and data protection mechanisms.
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.
Working knowledge of GCP
Working knowledge of the following data engineering tools: Dataflow, BigQuery, Databricks, Airflow, Dataproc, Bitbucket
Working knowledge in programming languages: Python (in Airflow), Pyspark (in Databricks, Dataproc), Pysql (in Databricks, Dataproc), PythonBeam (in Dataflow), SQL (in Bigquery), Java (in Dataflow)
Knowledge of source databases: SQL Server, Mongo DB, MySQL, Oracle DB. Knowledge of structured, semi-structured and unstructured data
Knowledge on CI/CD (collaborative scripts, pool requests, etc) and DevOps.
Real experience of Agile development.
Excellent communication and interpersonal skills to collaborate effectively with diverse teams and stakeholders.
Soft skills: Analytical thinking, curiosity and continuous learning. Work in collaboration. Problem-solving.
24 Days annual leave (increasing by 1 day with every 2 years of continuous service up to 30 days)
Food & Transport Allowance
Flexible work schedule
Discounts on books and access to digital content and other development and training
Location: Spain, remote o hybrid*.
*If you live in Madrid you will be able to enjoy our brand-new office because we a have a hybrid working model policy in place.
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.
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Organization: English Language Learning
Req ID: 12666