Data Engineer

Love Finance; Birmingham; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

A fast-growing finance firm in Birmingham seeks a Data Engineer to support data pipeline development and optimise SQL queries. The ideal candidate will have strong Python and SQL skills, with experience in cloud data warehouses like Google BigQuery. This role offers a competitive salary between £50,000-£60,000 plus an annual bonus in a hybrid work environment.

Benefits

Collaborative and forward-thinking team

Ongoing learning opportunities

Competitive salary plus annual bonus

Qualifications

• Solid experience with SQL and Python.
• Hands-on exposure to cloud data warehouses, ideally Google BigQuery.
• Comfort working with Google Cloud Platform or similar environments.

Responsibilities

• Supporting the development, maintenance, and optimisation of data pipelines.
• Writing, testing, and refining SQL queries and Python scripts.
• Assisting in troubleshooting issues in the data workflow.

Skills

SQL

Python

Cloud data warehouses (Google BigQuery, Redshift, Synapse)

Dataform or dbt

Google Cloud Platform (GCP)

Analytical mindset

Education

Technical background (e.g. Computer Science, Engineering, Mathematics)

Job description

Love Finance - Data Engineer - Birmingham - Hybrid - Permanent - £50,000 to £60,000 per annum

Data Engineer

Birmingham - Office Based

£50,000 to £60,000 per annum + Annual Bonus

Love Finance

Love Finance is one of the UK’s fastest-growing online finance brokers and lenders, proudly supporting thousands of SMEs since our launch in 2016. Leveraging smart technology, we simplify the business funding journey and help our customers access the capital they need to grow. With a 4.9‑star Trustpilot rating, a "Great Places to Work" certification, and a place in the Top 15 fastest‑growing finance companies, our track record speaks for itself – and our ambitions are even bigger.

What You’ll Be Doing as Data Engineer

Working closely with our Lead Data Engineer and the wider tech team, you will play a key role in scaling and maintaining our data architecture, enabling faster and smarter business decisions. This is a hands‑on, learning‑driven role ideal for someone with strong analytical and technical foundations who is ready to dive into real‑world data engineering challenges.

Your key responsibilities as Data Engineer

• Supporting the development, maintenance, and optimisation of data pipelines
• Writing, testing, and refining SQL queries and Python scripts for data processing
• Assisting in troubleshooting and debugging issues in the data workflowHelping ensure reliable, clean, and timely data is available to teams across the business (sales, marketing, ops, product, etc.)
• Collaborating with the Lead Data Engineer on new infrastructure for upcoming projects like app and our lending platform
• Learning and applying best practices in cloud‑based data engineering

Requirements

We are not hung up on degrees – we care more about your curiosity, problem‑solving skills, and desire to work with data at scale. You will be a great fit if you have:

• Solid experience with SQL and Python
• Hands‑on exposure to cloud data warehouses, ideally Google BigQuery (but Redshift or Synapse experience also welcome)
• Familiarity with Dataform or dbt for data transformation
• Comfort working with Google Cloud Platform (GCP) – or other cloud environments like AWS or Azure
• A strong analytical mindset, attention to detail, and willingness to learn and adapt
• A technical background or education (e.g. Computer Science, Engineering, Mathematics) is beneficial, but not required

Benefits

Why join Love Finance?

• Work for a certified Great Place to Work with a collaborative and forward‑thinking team
• Be part of a company at the forefront of fintech innovation
• Enjoy the energy and impact of a fast‑paced scale‑up, without the chaos
• Competitive salary between £50,000-£60,000 plus annual bonus
• Modern Birmingham city centre office – we value in‑person collaboration
• Ongoing learning opportunities and direct mentorship from senior engineers