Job Title: Data Engineer Company Overview: My client, a player in the innovative and fast-growing EdTech sector, is seeking a talented and passionate Data Engineer to join their cutting-edge team.

Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.

Committed to transforming education through advanced data-driven solutions, my client is looking for individuals eager to contribute to the future of Educational access.

Position Overview: As a Data Engineer, you will play a critical role in building and optimising the architecture and infrastructure for scaled data systems, with a focus on supporting educational technologies.

You will collaborate with cross-functional teams to design, implement, and enhance data pipelines, ensuring the smooth and efficient flow of data essential to this digital education platforms.

A fantastic opportunity to be part of a data-driven revolution in education and support the growth of a Disruptor in the EdTech industry.

Key Responsibilities: EdTech Data Integration:
- Collaborate with development teams to integrate data solutions into the educational technology ecosystem.

- Design and implement data storage and retrieval solutions for educational content and user data analytics.

Data Pipeline Development:
- Develop and maintain scalable and efficient data pipelines for processing and analysing educational data.

- Implement ETL processes to extract, transform, and load data from diverse sources, ensuring accuracy and consistency in educational datasets.

AWS Expertise:
- Leverage AWS services to build and enhance scalable data solutions for educational platforms.

- Utilize AWS data storage, processing, and analytics tools to improve the performance and reliability of the data infrastructure.

Python Development:
- Use Python for scripting, data manipulation, and automation tasks to support educational data processes.

- Develop and maintain Python-based tools to optimize data engineering workflows in the EdTech space.

Performance Optimization:
- Continuously monitor and improve the performance of data pipelines to ensure efficient data flow with minimal latency.

- Apply best practices for data storage, indexing, and retrieval to support the growing needs of the EdTech sector.

Qualifications:
- Bachelors degree in Computer Science, Data Science, or a related field.

- Proven experience as a Data Engineer, ideally in the EdTech or a similarly data-intensive industry.

- Strong proficiency in Python programming.

- Experience with AWS services, including but not limited to S3, EC2, Lambda, Glue, and Redshift.

- Solid understanding of data modelling, ETL processes, and data warehousing concepts.

- Excellent problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.

Why Join This Business? Innovation: Be part of a team that is shaping the future of education through data and technology.

Collaborative Culture: Join a diverse, creative, and open team that values continuous learning and communication.

Career Growth: Enjoy opportunities for professional growth and career advancement in a rapidly expanding industry.

Competitive Compensation: Receive a competitive salary, benefits, and other perks that recognise your contributions to the team.

If you are passionate about data engineering and want to make a meaningful impact in the EdTech space, feel free to reach out to Ryan Quinn via LinkedIN or apply via the link below.

Skills: Database Data Engineering Business Intelligence Benefits: Bonus Company Shares Laptop