Data Engineer

Data Engineer

Location: India/Remote

Type of Contract: Permanent, Full-time

Start Date: ASAP

Salary: Competitive

Who we are: Oxford International

Oxford International Education Group is a renowned institution dedicated to providing exceptional educational experiences to international students. With a global presence and a commitment to academic excellence, we strive to empower students to achieve their full potential and thrive in a dynamic, interconnected world. We are proud of our culture and have recently been officially certified as a Great Place to Work ©!

Job Purpose

OIEG is a Private Equity-backed, rapidly growing organisation that requires an experienced Data Engineer to support the operations within the Data function. As a data engineer, you will be responsible for designing, building, and maintaining the assets and artefacts required for data storage, processing, and analysis. Your role will involve working within the data and analytics team, alongside business stakeholders to deliver data and analytics capabilities.

The role will include end to end implementation with a focus on data engineering elements.

The ideal person should be inquisitive and have an innovative approach, have a proactive and can-do attitude, be a good problem solver and be open to learning new skills.

Key Responsibilities

• Design, implement, and maintain scalable Data Lake houses and Warehouses using best practices in cloud and distributed systems
• Build and orchestrate end-to-end data pipelines using Data Factory, Notebooks within Microsoft Fabric, and optimize, monitor, manage and maintain them.
• Transform data using SQL and Python/pySpark
• Develop robust ETL/ELT frameworks to extract, load, and transform data from APIs, databases, flat files, and third-party sources into Lake houses or Data Warehouses
• Ensure data reliability and integrity through automated quality checks, validation rules, and observability tooling.
• Implement and maintain documentation and metadata management practices for reproducibility and knowledge sharing
• Collaborate with BI Developers, Analysts, and Business Stakeholders to define data requirements and deliver analytics-ready datasets

Person Specifications

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related technical discipline

Experience

• Minimum of 4 years hands-on experience as a Data Engineer or in a similar role, ideally in an Azure/ Fabric environment.
• Any Azure / Fabric certifications would be advantageous.
• Data Engineering, Data Transformation, Data Modelling
• BI Tools/Visualization
• Knowledge of Data Governance
• Data Engineering: Designing, building, and maintaining data/delta lakes/ DWH, data orchestration and ETL.
• Understanding of data architecture and design principals
• Any exposure to Fivetran or similar Data Acquisition tools or an understanding of them.
• Data modelling techniques using the Star/Kimbal methodology
• Knowledge of Power BI or similar tools and adept at telling stories through data and visualization.
• Source Control ideally have exposure to Azure DevOps, GitHub

Skills

• Development of Lake houses/ DWHs ideally within an Azure/Fabric Environment
• Fabric/Azure Data Factory/ Synapse Analytics/ Dataflows Gen2 or similar tools such as Data Bricks; or similar ETL/ Data acquisition tools
• Proficient in Python/ pySpark for data engineering that includes scripting, automation, and building transformation logic.
• Advanced knowledge of SQL/ T-SQL, including query optimization, stored procedures, and indexing strategies.
• Skills with Power BI and DAX /Power Query

Oxford International is committed to safeguarding and promoting the welfare of children. Recruitment checks, including checks with past employees, are undertaken in accordance with our Recruitment and Selection policy.

Oxford International is an equal opportunity employer. Every applicant and employee has the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.