At a Glance
- Tasks: Design and build scalable data pipelines while solving complex technical challenges.
- Company: Leading organisation transforming its data and AI capabilities.
- Benefits: Competitive pay, hybrid work model, and a chance to work on innovative projects.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Join a growing team and make a real impact in the data engineering field.
- Qualifications: Strong Python and SQL skills, with experience in ETL/ELT pipelines.
The predicted salary is between 60000 - 60000 £ per year.
We're partnering with a leading organisation undergoing a major transformation of its data and AI capabilities. They are looking for an experienced Data Engineer to join a growing engineering team building strategic data solutions that support business-critical functions across trading, analytics and commercial operations.
This is a hands-on engineering role where you'll design and build scalable data pipelines, solve complex technical challenges, and help evolve an enterprise data platform using modern open-source technologies.
What you'll be doing:
- Designing, building and maintaining data ingestion pipelines and ETL/ELT workflows
- Developing robust data engineering solutions using Python and SQL
- Building scalable data pipelines that support multiple business functions
- Working closely with technical and business stakeholders to deliver strategic solutions
- Solving complex engineering challenges and taking ownership from design through to delivery
- Contributing to the evolution of a modern on-premise data platform
Skills:
- Excellent Python and SQL skills
- Experience building ETL/ELT pipelines and data ingestion frameworks
- Strong understanding of data architecture and data movement between systems
- Experience with modern data engineering tools and frameworks
- Extensive experience working closely with business stakeholders
- Experience with Apache Spark and Databricks is desirable
- Experience in Financial services, commodities or another fast-paced commercial environment is highly advantageous
- Exposure to AI technologies such as LangChain, agentic AI or open-source LLMs is beneficial
Suitable candidates will be contacted within 24 hours.
Data Engineer - TWE46529 employer: twentyAI
At twentyAI, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge data solutions that make a real impact in the financial services sector. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.
