Data Engineer
Data Engineer
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Job Description
As a Data Engineer you will join a team delivering transformative cloud hosted data platforms for a Version 1 customers.
You will have a proven track record as a Data Engineer and be adept in your ability to implement data ingestion and transformation pipelines for large scale organisations.
This career may align to individuals who like to work with a variety of technologies and data services that will develop and deliver early proofs of concept and production implementation.
On a day to day basis youll:
- Design and implement highly performant data ingestion and transformation pipelines from multiple sources
- Develop scalable and reusable frameworks for ingestion and transformation of large data sets
- Integrate the endtoend data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
- Work with other members of the project team to support delivery of additional project components (Reporting tools API interfaces Search)
- Evaluate the performance and applicability of multiple tools against customer requirements.
Qualifications :
- Security Clearance eligible. You must have the right to work in the United Kingdom or Northern Ireland and have been resident in the United Kingdom or Northern Ireland for 5 or more consecutive years
- Have practical experience designing and delivering using AWS or Azure such as: Azure SQL Data Warehouse Azure Data Lake AWS S3 AWS RDS AWS Lambda or similar
- Have experience with Open Source big data products i.e. Hadoop Hive Pig Impala or similar
- Have experience with Open Source nonrelational or NoSQL data repositories such as: MongoDB Cassandra Neo4J or similar
- Be confident with your ability working with structured and unstructured data including imaging & geospatial data
- Understand working in a DevOps environment with objectorientated and object function scripting languages such as Python Java or similar
- Have expertise in data modelling data warehouse design and data lake concepts and practices.
Additional Information :
At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability.
One of our standout advantages is the ability to work with a hybrid schedule along with business travel allowing our employees to strike a balance between work and life. We also offer a range of techrelated benefits including an innovative Tech Scheme to help keep our team members uptodate with the latest technology.
We prioritise the health and safety of our employees providing private medical and life insurance coverage as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations including AWS Microsoft Oracle and Red Hat.
Our employeedesigned Profit Share scheme divides a portion of our companys profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential offering Pathways Career Development Quarterly a programme designed to support professional growth.
#LILC2
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
