Senior Data Engineer
Scott Logic1 year ago
Newcastle, United KingdomSenior
Responsibilities
- Build data platforms, pipelines, data lakes, warehouses, and integrated data models.
- Create processes to extract or access operational data and transform it for analytics, reporting, data science, and AI.
- Query and report on analytical data using modern data engineering tools and approaches.
- Advise clients, solve complex engineering challenges, and potentially lead teams or set technical direction.
- Work hands-on with clients, including occasional ad-hoc on-site work in the London area.
- Design and build well-structured, maintainable systems.
Requirements
- Good experience with modern data engineering and reporting, including storage, data ingestion and transformation pipelines, and analytical querying.
- Experience with some of Python, Spark, SQL, PySpark, and Power BI.
- A software engineering background, including experience with front-end technologies such as JavaScript.
- Understanding of how to design and build well-structured, maintainable systems.
- Strong communication, collaboration, problem-solving, and pragmatic solution-finding skills.
- Eligibility for SC clearance.
- Preferred experience with AWS, Azure, or GCP cloud services; Snowflake or Databricks; Agile environments; and CI/CD tooling.
Benefits
- 25 days of annual leave, rising to 30 days with each year of service.
- Generous family leave policies.
- Employer pension scheme, private medical services, and Group Life Assurance.
- Optional benefits including discounted gym membership and a cycle-to-work scheme.
- Performance evaluation and feedback focused on employee progress.
- Flexible remote working alongside time with colleagues and clients; occasional client-site work in the London area.
- Employee-led clubs and events, free games, books, and refreshments in offices.
Tech Stack
Categories
Data Engineering
About Scott Logic
Scott Logic is a UK software consultancy that designs and builds bespoke applications, data platforms, and UX for enterprise clients in capital markets, commodities, and the public sector. The privately held firm, founded in 2005 and headquartered in Newcastle upon Tyne, delivers services spanning architecture, testing, data engineering, and AI. Its business model is project-based consulting and managed delivery for complex, large-scale systems across regulated industries.