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Love Finance: Data Engineer - Permanent - Hybrid - Birmingham City Centre - £70,000 - £90,000 per annum
Love Finance is a leading online finance broker and lender dedicated to empowering UK businesses. Since 2016, Love Finance have been instrumental in assisting thousands of companies in accessing funding via cutting-edge, technology. Ranked in the Top 15 fastest growing finance companies, with Great Places to Work certification and a 4.9-star rating on Trust Pilot, we consistently surpass our targets and are looking to secure a Senior Data and Sales Analyst to continue our growth trajectory.
About You as Data Engineer:
We are looking for a self-starting Data Engineer, who can work autonomously and provide outside of the box solutions to data driven activity at Love Finance. This role will offer the Data Engineer a from scratch project to take ownership of Love Finance data and deliver effective solutions through a rapid business growth period.
Role: Data Engineer
Type: Permanent
Working Pattern: Hybrid
Location: Birmingham City Centre
Salary: £70,000 to £90,000 per annum
The Role of the Data Engineer:
Systems Experience: Must have a combination of knowledge across platforms such as; PostgresSQL, Python, Big Query, Diagtools, Dagster, AirFlow, Apache Hop, Talend
- Engineering data processing systems, using data modelling and storage techniques to facilitate the efficient storage and retrieval of data for the business
- Leveraging the data collection and storage processes to provide timely and accurate reporting in line with the business needs
- Work alongside and advise the data science team in the production of database systems that can support complex data processing workloads
- Using the latest techniques and cloud-based approaches as part of an overall data architecture, providing input into the data architecture and standards
- Maintain the data storage and processing systems
- Liaise with the business and IT teams to keep the data estate relevant to the business requirements
- The Data Engineer will be an expert in one or a number of Database and Processing technologies such as PostgresSQL, BigQuery and columns-based DBs and have a broad knowledge of NoSQL and cloud data options especially in GCP
- Experience of Data Vault 2.0, Python and ETL/LT would be advantageous
