Data Engineer
Scott Logic2 months ago
Bristol, United KingdomSenior / Staff+
Responsibilities
- Build data platforms, data lakes, warehouses, and pipelines.
- Extract or access operational data and transform siloed datasets into integrated data models.
- Support data analytics, business performance insights, data science, and machine-learning model training.
- Advise clients, solve complex engineering challenges, and potentially lead teams or set technical direction.
- Work hands-on in client-facing engagements, including occasional on-site work with clients in the London area.
Requirements
- Good experience with modern data engineering and reporting, including storage, data ingestion and transformation pipelines, and analytical querying and reporting.
- Experience with technologies such as Python, Spark, SQL, PySpark, and Power BI.
- A software engineering background, including experience with frontend technologies such as JavaScript.
- Understanding of how to design and build well-structured, maintainable systems.
- Strong problem-solving, communication, and collaboration skills.
- Eligibility for SC clearance.
- Experience with AWS, Azure, or GCP is desirable.
- Experience with Snowflake or Databricks is desirable.
- Experience working with CI/CD tooling is desirable.
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.
- Remote-working flexibility alongside time with colleagues and clients.
- Employee-led clubs and events, free games, books, and refreshments in the offices.
- Occasional on-site client work in the London area is expected.
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.