Advance Your Career with TLA:

Join the team at TLA, the award-winning automotive marketing powerhouse. With a 22-year legacy of innovation and success, we partner with all major UK auto brands, such as Volkswagen, BMW, and Ford, to drive new car sales through cutting-edge customer acquisition solutions.

The Role:

As a Data Engineer at TLA, you will play a crucial role in managing and optimising our data infrastructure, ensuring the seamless integration and flow of data that underpins our innovative automotive marketing solutions. You will be responsible for designing and implementing robust ETL pipelines, managing data within Our Data-Hub. This role is critical in supporting the organisation's data-driven decisions and ensuring the availability, integrity, and usability of data across the company.

This data is essential for accessing the latest automotive industry information, client stock, retailer, and offer data, enabling us to maintain our competitive advantage. You will also ensure the accurate and timely delivery of customer data to our clients.

You will work closely with our Data Integration Manager to build ETL Pipelines with any API information they gather from our clients or external data providers. The role demands a blend of strategic, technical, and commercial acumen to manage data integrations effectively. You will identify opportunities for data optimisation and oversee the integration processes.

Core Experience and Skills:

•Data Modelling and Warehousing: Expertise in designing and managing data solutions within Azure, emphasising its scalability and flexibility for handling large-scale data storage and management. Understanding of data structures and formats that optimise storage and accessibility for downstream processing and analysis.

•ETL Tools and Processes: Experienced with ETL tools such as Azure Data Factory (ADF) and SQL Server Integration Services (SSIS), or programming in Python to build and optimise data pipelines.

•Programming Languages: Proficiency in SQL.

•Cloud Platforms: Strong experience with Microsoft Azure services, especially in configuring and managing resources related to data storage, processing, and analytics within the Azure cloud environment.

•Data Security and Compliance: Understanding of data security best practices, including data encryption, secure data transfer, and compliance with data protection regulations (e.g., GDPR).

•Collaboration and Communication: Excellent communication skills to effectively collaborate with team members and stakeholders, explaining complex data-related concepts in a clear and accessible manner.

Professional Background:

•Professional Experience in Data Engineering: Minimum of 3-5 years of relevant experience in data engineering roles, particularly in environments that leverage cloud technologies. Experience in designing and implementing data pipelines, data warehousing solutions, and ETL processes, for example using Azure tools like ADLS and ADF.

•Hands-On Experience with Azure Data Services: Proven experience with Azure.

•Data Architecture and Modelling: Experience in architecting data storage solutions in cloud environments, particularly focusing on scalability, performance optimisation, and cost efficiency. Familiarity with data modelling techniques suitable for both operational and analytical use cases.

•Industry Experience: Exposure to industry or domain-specific challenges and requirements can be beneficial. This includes understanding the specific data compliance and security measures relevant to the industry.

•Certifications: Typically, a bachelor's or master's degree in Computer Science, Data Science, Information Technology, or a related field is expected. Azure certifications such as the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure AI Engineer Associate can be highly advantageous. Other relevant certifications in data science, machine learning, or cloud architecture could also be valuable.

Ideal Candidate Profile:

•Proactivity: Seeks out opportunities to improve data systems and processes without waiting for direction. Anticipates needs and comes up with solutions to potential challenges ahead of time.

•Self-Efficiency: Demonstrates the ability to work independently, efficiently managing their workload and prioritising tasks to meet project deadlines.

•Strong Organisational Skills: Capable of managing multiple projects simultaneously, maintaining focus and organisation to ensure timely and successful outcomes.

•Excellent Communication Skills: Able to articulate complex data issues and insights clearly to both technical and non-technical team members.

•Adaptability and Eagerness to Learn: Embraces change and is keen to stay updated with the latest industry trends and technologies. Shows a genuine interest in continuous professional development.

•Team Collaboration: Works well in a team setting, contributing to a collaborative work environment, and supporting colleagues in joint projects.

Additional Role Requirements:

Must be able to commute to Liverpool (hybrid working with each Monday and Tuesday in the office each week).

Why Join TLA?

At TLA, we're driven by a mission to help automotive brands sell more cars by delivering the highest quality leads and clicks. We care deeply about our clients, consumers, and colleagues, striving to innovate and win as a team.

Be part of a company that's shaping the future of car buying, where your work directly influences our success.

Enjoy a hybrid working model, with Monday/Tuesday in our vibrant Liverpool centre office.

Engage in a culture that values self-development, teamwork, and giving back through charity sporting events.

Benefit from a competitive salary, private health insurance, pension plan, and more.

Please note:You must be eligible to work in the UK and live within commuting distance of Liverpool, as our team meet up regularly in the Liverpool office. This role is not open to those requiring sponsorship now or in the future to work in the UK. Please do not apply unless you have the required skills and experience as your application will not be considered.