Data Engineer
Role details
Job location
Tech stack
Job description
Joining us as a Data Engineer within the Keeping Customers Safe Lab, you'll play a key role in facilitating and resolving the Lab's data requirements, including Consumer Duty and Data Producer and Consumer Responsibilities alongside the Product Owners, Customer Journey Managers and Data Analysts.
You'll provide critical data expertise to assist pre-processing and gather data, help to represent data using various reporting and visualisation tools and contributing new datasets into the mix, investigating and analysing data to recommend and support solutions for customers. You'll also help to develop, test and maintain high quality, reusable data pipelines, ingesting structured and/or unstructured data and curating data for consumption through analytics and BI. You will also be responsible for updating the Data lineage and recording any Data Quality issues.
With our breadth, reach and diversity, we can offer excellent opportunities for career growth and development, and we're looking for people who can seize those opportunities. You'll get plenty of support but it's about taking the initiative, building relationships and making it happen.
Why Lloyds Banking Group
We're on an exciting journey and there couldn't be a better time to join us. The investments we're making in our people, data, and technology are leading to innovative projects, fresh possibilities, and countless new ways for our people to work, learn, and thrive.
Requirements
- A passion for designing and developing efficient, re-usable assets and capabilities to benefit our customers
- An Inquisitive nature and attitude and appetite towards learning new skills
- An enthusiasm for problem solving & analysis - you'll be investigating and analysing data to recommend and support solutions for customers
- Well defined planning & organising skills as things could change and you'll need to adapt to a flexible agenda
- What we would like to see:
- Understand data handling, modelling, and reporting techniques along with strong understanding of the business
- Knowledge of SQL in building data pipelines that involve cleaning, transforming and aggregating data from several sources
- Experience in writing relational and multi-dimensional queries.
- Cloud understanding, especially GCP.
- Experience in data analysis using Python.
- Knowledge of visualisation tools (Power BI).
- Excellent communication skills & interpersonal skills
- What else could you bring with you, desired but not mandatory?
- Knowledge of building data pipelines via cloud-based solution
- Basic knowledge of Cloud technologies
- Knowledge of building data warehouses