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Senior Data Engineer
- Posted 02 March 2023
- Salary £55000 - £700000 per annum, Benefits: 10% Bonus & Hybrid Working
- LocationHighland
- Job type Permanent
- Discipline Development, Data
- ReferenceMT-82
- Contact NameMatt Trought
Job description
Senior Data Engineer
Salary: £55,000 - £70,000 + 10% Bonus
Location: Nottingham / Hybrid
Role and Opportunity
A fantastic opportunity has come up to work for an award-winning organisation as they continue to build out their Analytics and Data Engineering teams.
They are on the lookout for a Senior Data Engineer to help them as they look to expand their Analytics team, and the key challenges for this opportunity will be to assist the ongoing development of a world-class Consumer Lending business that is aiming to change lending for the better by becoming the UK’s most trusted and responsible Fintech business.
They are currently on the Cloud using Azure but have also recently started working with GCP, so they will consider anyone who has cloud-based experience. They are also starting some exciting Financial based projects in the next 3 months, so if you have any financial services or financial project-based work that involves Data Modelling, that would be a massive advantage, but not essential for this role, as the key responsibilities and requirements for this opportunity will be the following:
Skills & Technical Skills
If you want to apply for this opportunity ad feel you are a good match, please forward an up-to-date version of your CV, and someone from Digital Waffle will contact you within 24 hours.
Salary: £55,000 - £70,000 + 10% Bonus
Location: Nottingham / Hybrid
Role and Opportunity
A fantastic opportunity has come up to work for an award-winning organisation as they continue to build out their Analytics and Data Engineering teams.
They are on the lookout for a Senior Data Engineer to help them as they look to expand their Analytics team, and the key challenges for this opportunity will be to assist the ongoing development of a world-class Consumer Lending business that is aiming to change lending for the better by becoming the UK’s most trusted and responsible Fintech business.
They are currently on the Cloud using Azure but have also recently started working with GCP, so they will consider anyone who has cloud-based experience. They are also starting some exciting Financial based projects in the next 3 months, so if you have any financial services or financial project-based work that involves Data Modelling, that would be a massive advantage, but not essential for this role, as the key responsibilities and requirements for this opportunity will be the following:
- Designing, building, deploying, operating and maintaining data products and pipelines in line with the data strategy, architectural vision and roadmaps
- Working with a team of talented people as part of an agile delivery team
- Ensuring quality standards are met and products are continually improved in line with business value
- Working in alignment with the business stakeholders to give the client a distinctive capability in data and analytics
Skills & Technical Skills
- Highly proficient in building and maintaining data pipelines in Databricks
- Highly proficient in data engineering technologies, such as Delta Lake, Apache Spark, Azure Data Factory etc.
- Highly proficient in big data engineering programming languages such as Python and/or Scala
- GCP (Highly Desirable)
- Financial Services experience (Highly Desirable)
- Experience with cloud technologies, especially GCP and Azure
- Experience in T-SQL and maintenance of SSIS packages
- Highly proficient in ETL Process Development
- Experience of Data Modelling
- Experience of Data Warehousing dimensional modelling techniques.
- Some experience in .NET C# or Terraform would be useful
- Experience in the usage of a continuous delivery system and related concepts
- Experience in the usage of data reporting tools, such as PowerBI
- Strong understanding of application security concepts, including securing production applications and delivery pipelines
- Strong understanding of systems required in delivering commercial finance products, and how they fit together (i.e. loan origination systems, loan management systems, collections systems)
- Strong understanding of data governance concepts such as data ownership, data stewardship etc
If you want to apply for this opportunity ad feel you are a good match, please forward an up-to-date version of your CV, and someone from Digital Waffle will contact you within 24 hours.
