Data Engineer

A highly skilled and motivated Data Engineer/Data Scientist with extensive experience in Python, pandas, SQL, and data analysis. Adept mapping data into a new data model, with tested code.

Thrives in independent work environments, with a proven ability to deep dive into complex datasets and deliver impactful results.

Over 5 years of experience as a Data Engineer

Proven experience bridging business needs and technical development, translating requirements into actionable solutions.

Previous background in Technical Business Analysis is preferred and is a strong advantage.

Expertise in Python (pandas), SQL, and Excel for exploratory analysis, reporting, and process optimization.

Skilled in back-testing and validating solutions to ensure audit compliance and operational readiness.

Proficient in mapping data into new data models with robust, tested code.

Strong communication skills with the ability to produce clear documentation and stakeholder-facing presentations.

Technical Skills

Programming: Python, pandas, NumPy, SQL

Data Management: PostgreSQL, SQLite, CSV

Testing: Unit Testing, Integration Testing, CI/CD Pipelines

Tools: Git, Jupyter Notebooks

Python programming.

Familiarity with other programming languages and frameworks.

Knowledge of software design patterns and architectural principles.

Exposure to other cloud platforms (AWS, GCP).

Experience with Docker, Kubernetes, and containerised deployments.

Relevant certifications (cloud, programming, Agile).

Background in static reference data or payments systems.