Cloud Data Engineer

Cloud Data Engineer

Location: Leeds, UK

Salary: Competitive Salary + Package (dependent on experience)

Career Level: Specialist & Associate Manager

Responsibilities

• Support data profiling, ingestion, collation and storage for critical client projects.
• Develop and enhance knowledge of agile ways of working and open source stack (PySpark/PySql).
• Plan and implement quality initiatives to ensure solution quality throughout delivery.
• Digest data requirements, gather and analyse large‑scale structured data, validate by profiling.
• Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalise and clean data.
• Implement data quality procedures, prepare and visualise data, synthesise insights for business value.
• Support data management standards and policies, including synthesising and anonymising data.
• Develop and maintain data engineering best practices and contribute to analytics insights and visualisation concepts.

Qualifications

• Experience with Palantir (must have).
• Proficiency in Python, PySpark/PySQL.
• Experience with AWS or GCP.
• Knowledge of data profiling, ingestion, cleaning and ETL.

Set yourself apart

• Palantir Certified Data Engineer.
• Certified cloud data engineering (preferably AWS).

Benefits

Competitive basic salary and extensive benefits package, including 25 days’ vacation per year, private medical insurance, and 3 additional days leave per year for charitable work.

Flexibility and mobility required; ability to spend time onsite with clients and partners.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

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