At a Glance
- Tasks: Join a leading banking client as a Data Engineer, working with Snowflake and Kafka.
- Company: Top UK banking client offering a dynamic work environment.
- Benefits: 6-month contract with competitive pay and opportunities for skill development.
- Other info: Opportunity to lead technical initiatives and collaborate with a talented team.
- Why this job: Make an impact in the finance sector while honing your data engineering skills.
- Qualifications: Strong experience with Snowflake, SQL, AWS, and Python required.
The predicted salary is between 60750 - 74250 £ per year.
Data Engineer London/ Edinburgh 6 Month Contract Via Umbrella Our UK leading banking client are looking for a Data Analyst to join their team on an initial 6-month contract.
Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas.
Proficiency in Airflow for orchestration and workflow management.
Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing.
Familiarity with Kafka concepts (producers, consumers, topics) and ability to integrate with streaming data pipelines.
Solid understanding of data modelling , ETL/ELT processes, and performance optimization.
Programming Engineering Skills Proficiency in Python for data engineering tasks and automation.
Ability to design and implement scalable, maintainable data pipelines .
Experience with version control systems (e. g., Git) and collaborative development workflows.
Leadership Mentorship Ability to lead technical initiatives ...
Data Engineer (Snowflake & Kafka) employer: Lorien Careers
Join a leading pharmaceutical company that values innovation and flexibility, offering a dynamic work culture where your contributions directly impact global health outcomes. With opportunities for professional growth and the ability to work remotely from Maidenhead, you will collaborate with a talented team on diverse projects across various therapy areas, ensuring a rewarding and meaningful experience in health economics modelling.
