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BB
Benedikt Bischof
Making Data Warehouses Fast: A Developer’s Story
about 4 years ago
Data Platform Engineer: Scale Lakehouse for Analytics & AI
Xcede
Greater London, UK
6 days ago
- Discuss this with your agent
- Open in Claude
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Apply on www.collegerecruiter.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Data Analysis
Information Engineering
Data Infrastructure
Extract Transform Load (ETL)
Data Security
Python (Programming Language)
Databricks
Job description
Xcede is offering a hands-on data engineering opportunity in Greater London. Here, you’ll scale the Databricks lakehouse that drives analytics and AI for a well-backed B2B SaaS business. Your responsibilities include building the platform’s infrastructure and contributing ETL processes, ensuring a solid foundation for data access.
We seek candidates with a robust background in Python and AWS, along with a passion for creating tools that support data-driven decision-making. Join us in a fast-paced, growing environment.
Requirements
We seek candidates with a robust background in Python and AWS, along with a passion for creating tools that support data-driven decision-making. Join us in a fast-paced, growing environment. #J-18808-Ljbffr
About the company
Xcede is offering a hands-on data engineering opportunity in Greater London. Here, you’ll scale the Databricks lakehouse that drives analytics and AI for a well-backed B2B SaaS business. Your responsibilities include building the platform’s infrastructure and contributing ETL processes, ensuring a solid foundation for data access.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.collegerecruiter.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists2:27 min
Managing traffic and tracking costs with Databricks Unity Catalog
Viktoria Semaan · World Congress 2026 Europe
1:48 min
Automating exploratory data analysis within training pipelines
Dora Petrella · World Congress 2023
4:04 min
Embedding data security and applied ethics into developer education
Daniel Tao +3 · World Congress 2024
3:03 min
Career evolution in data engineering and AI platforms
Maria Apazoglou · Coffee With Developers
2:50 min
Executing LoRA fine-tuning using serverless Databricks AI runtimes
Viktoria Semaan · World Congress 2026 Europe
6:24 min
Distributed data lakes and containerized computing clusters
Ulrich Wurstbauer +1 · LIVE
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