Overview
We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our data engineers help clients make the best use of their data by building data platforms and pipelines that support diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create processes to access operational data, and transform siloed datasets into integrated data models that inform business performance and ML model training.
These are hands-on, client-facing roles at senior or lead levels. You may be leading teams, setting technical direction, advising clients or solving challenging engineering problems. Some time on-site with clients in the London area on an ad-hoc basis is expected. We combine a strong software engineering approach with solid data fundamentals and experience using modern tools. We are technology agnostic and open-minded about your existing skillset.
Responsibilities
- Apply software engineering discipline to design and build robust data platforms and data pipelines that ingest, transform and expose analytical data.
- Collaborate with clients to understand requirements, set technical direction and solve engineering challenges.
- Deliver hands-on data engineering work in client environments, contributing to data lakes/warehouses and end-to-end data models.
- Work on-site with clients in the London area on an ad-hoc basis as needed.
Requirements
- Good experience with technologies and approaches typical in modern data engineering and reporting, including storage, data ingestion/transform pipelines, and querying/ reporting of analytical data.
- Experience with Python, Spark, SQL, PySpark, Power BI, and related tools.
- Background in software engineering, including front-end technologies such as JavaScript.
- Strong problem-solving ability, pragmatically exploring options and delivering effective solutions.
- Ability to design and build well-structured, maintainable systems.
- Strong communication skills and a collaborative approach to work.
- Willingness to learn and grow your skills and experience.
Nice to have
- Experience with cloud services in AWS, Azure or GCP.
- Experience working in an Agile environment.
- Experience with vendor products such as Snowflake or Databricks.
- Experience with CI/CD tooling.
Benefits
- 25 days’ annual leave, rising to 30 days with service.
- Generous family leave policies.
- Employer pension scheme, private medical services and Group Life Assurance.
- Optional benefits such as discounted gym membership and cycle-to-work scheme.
- Meaningful performance evaluation and feedback.
At Scott Logic, we value flexible remote working while encouraging time with colleagues and clients. Our offices feature employee-led clubs and events, as well as free games, books and refreshments. We are a B Corp and value diversity, believing it drives innovation and that everyone can contribute regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
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