Data Engineer - Mid Level

Join to apply for the Data Engineer - Mid Level role at TLA

You'll join a focused data team of 4 professionals (2 Data Scientists, 1 BI Developer, and yourself as Data Engineer), working collaboratively to deliver high-impact data solutions. As part of the team, you'll create data pipelines to extract diverse datasets from vehicle stock volumes to customer reviews and offers data in a timely, robust and efficient manner. We understand that great data forms the backbone of great data analysis, and as such the data engineer is crucial to the success of the data department overall.

TLA works with the modern data stack, utilising Snowflake for our data warehouse, dbt to transform data across our medallion architecture, and Apache Airflow for orchestration. Microsoft Azure is our choice of cloud provider for hosting infrastructure. Within the role you will be hands-on with all these exciting technologies.

Many datasets you extract will require web scraping, it’s important that you have some experience within this domain.

You'll play a key role in optimising our data assets by:

• Building and refining data ingestion pipelines for new data assets including vehicle stock data, offers and pricing data, images and more.
• Developing analytics-focused data models in dbt to supply analysts and data scientists with clean, well-structured datasets.
• Implementing and maintaining CI/CD pipelines for our data infrastructure, ensuring automated testing and smooth deployments.
• Participating in code reviews and contributing to team standards for data pipeline development.
• Keeping on top of the latest datasets available within the automotive space and making recommendations about new data sources.
• Supporting and expanding our Microsoft Azure infrastructure, optimising it for data pipeline performance.
• Writing comprehensive data documentation for analytics-focused entities, accelerating your colleagues' understanding of available data.

What You'll Need to Succeed

• 2-4 years of experience building robust data pipelines in a commercial environment or through complex personal projects.
• Strong Python skills including experience with web scraping libraries (scrapy, requests, selenium etc.) and writing production-ready, testable code.
• Advanced SQL skills with experience in query optimisation and data modelling.
• Solid understanding of software engineering principles (SOLID, DRY, design patterns) applied to data engineering.
• Experience with version control (Git) and collaborative development workflows.
• Understanding of CI/CD concepts and experience contributing to automated testing strategies.
• Knowledge of data quality principles including data validation, monitoring, and automated testing frameworks
• Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc.
• Experience working with a cloud platform i.e., AWS, Azure, GCP etc.
• Must be located within a 1-hour commute to Liverpool city centre (non-negotiable due to regular in-office collaboration requirements)

• Experience with both batch and near real-time data pipelines
• Familiarity with Infrastructure as Code (Terraform)
• Experience with dbt and medallion architecture patterns
• Knowledge of Apache Airflow or similar orchestration tools
• Azure cloud platform experience

TLA is a fast-moving, innovative digital business that partners with some of the biggest automotive brands—including the Volkswagen Group, BMW Group, and Ford. Founded over 20 years ago, and with long-standing team members, we've built a close-knit, ambitious team that's passionate about pioneering technology to drive car sales.

We offer a supportive and collaborative environment, where you'll have the opportunity to grow and make an impact. Our hybrid model (2 days per week in our fantastic Liverpool city centre office) enables in-office teamwork and collaboration.

PLEASE NOTE: This role is only open to those with the right to work in the UK without the need for sponsorship or visa, now or in the future.