Design and build data platforms, pipelines, lakes and warehouses; ingest, transform and model data for analytics and ML; lead teams, set technical direction, and work client‑facing (ad‑hoc onsite in London).
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 clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models.
These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis.
Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes to your existing skillset.
What are we looking for?
- Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data.
- You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc.
- You’ve got a background in software engineering, including Front End technologies like JavaScript.
- You’re a problem-solver, pragmatically exploring options and finding effective solutions.
- An understanding of how to design and build well-structured, maintainable systems.
- Strong communication skills and a collaborative approach to work.
- You embrace the chance to try new things, learn new skills and grow your experience.
It would be great if you have:
- Experience of relevant cloud services within AWS, Azure or GCP.
- Experience working in an Agile environment.
- Experience working with common vendor products such as Snowflake or Data Bricks.
- Experience working with CI/CD tooling.
What you’ll get in return is:
- 25 days’ annual leave, rising to 30 days with each year of service.
- Generous family leave policies.
- Access to an employer pension scheme, private medical services and Group Life Assurance.
- A range of optional benefits such as discounted gym membership and a cycle-to-work scheme.
- A meaningful approach to evaluating your performance and providing feedback on your progress.
At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you’ll find employee-led clubs and events, as well as free games, books, and refreshments.
We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
Scott Logic Bristol, England Office
1 Redcliff Street, Bristol, United Kingdom, BS1 6NP
Similar Jobs
Financial Services
Lead Data Engineer responsible for designing, building, and maintaining secure, scalable data collection, storage, access, and analytics solutions. Ensure data trustworthiness, create data models, implement backup/recovery/archiving, evaluate access control, and support data platform stability across business functions.
Top Skills:
Data ModelingData PipelinesDatabase Backup And RecoveryEnterprise Server Operating SystemsNosql DatabasesRelational Databases
Financial Services
Lead infrastructure engineering for critical market data platforms: provide production support, implement changes, lead architecture and automation workstreams, validate AI-assisted recommendations, ensure performance, resilience and data quality, and collaborate across platforms to modernize and stabilize trading market data infrastructure.
Top Skills:
AutomationBloomberg BpipeBloomberg MfaC++Cloud InfrastructureDacsDatabasesDeployment PracticesEedsEnterprise-Authorized AiIp (Tcp/Udp/Mcast)Itrs GeneosJavaScriptLinux (Redhat)Lseg RmdsMetafluentPerlPrivate CloudPublic CloudPythonShellSolaceSQLStorageSwitch/Routing TopologiesTick History ToolsTrep
Financial Services
Lead reliability, performance, and automation of analytics pipelines and reporting. Define SLIs/SLOs, monitor data quality/lineage, enable self‑service dashboards, enforce data risk/controls, drive FinOps/capacity insights, lead stakeholder reviews, and mentor junior engineers.
Top Skills:
AWSBigQueryDbtEnterprise AiLookerPandasPower BIPythonRedshiftServicenowSnowflakeSQLTableau
What you need to know about the Bristol Tech Scene
Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.
