Senior Data Engineer

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.