Job Details
* Location: Windsor SL4 1EG, United Kingdom
* Employment type: Full-time
* Work arrangement: Hybrid
* Salary: GBP £35,000 - £40,000 per year
Responsibilities
* Identify optimal methods for data extraction and ingestion using tools like PySpark Notebooks and ETL flows.
* Develop data integrations with error handling and business logic to prevent data corruption.
* Apply best practices for data transformation into actionable data tables.
* Ensure data platform requirements of downstream users, including BI teams, are met.
* Store and transform data using medallion architecture and manage Lakehouse and warehouse assets.
* Oversee operations and maintenance of data pipelines, optimizing efficiency and resolving issues.
* Promote a self‑serve data reporting approach across the business.
Benefits
* Well‑being days (half a day each month)
* Enhanced company pension plan
* Holiday purchase option
* Enhanced maternity, paternity, and adoption leave
* Free eye tests with Specsavers
* EV cars through salary sacrifice
* Perkbox discounts and freebies
* Employee Assistance Program – 24‑hour confidential help line
* Hybrid working opportunities
* Staff discounts on hotels and golf courses
* Cycle to work scheme
* Modern office in central Windsor with a staff breakout area featuring a Golf Simulator
* Chance to make a difference in an ambitious company
Qualifications
* Experience with data engineering tools like Databricks, Snowflake, or AWS.
* Understanding of good data structures and data security.
* Effective version control management throughout development.
* Organised work practices for managing time and quality deliverables.
* Proficient in Microsoft’s productivity suite, including Teams and Office 365.
* Foundational SQL language skills.
* Excellent written and oral communication skills.
Preferred Qualifications
* Familiarity with Microsoft's Fabric platform for data engineering and warehousing workflows.
* DP‑600 certification from Microsoft.
* Experience supporting BI & data analytics software and languages like Python and JSON.
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