and CI/CD practices Skilled in Linux systems, networking, and containerised deployments (Docker) Experience with scripting (Python, Bash) and automation workflows Familiarity with data pipeline tools (e.g. Airflow, dbt, Glue, Kinesis, or Kafka) Understanding of observability: logging, alerting, and metrics (CloudWatch, Grafana, etc.) Nice to Have: Background in IoT, utilities, or environmental data platforms Experience with LPWAN technologies (e.g. More ❯
Power BI. Proficiency in SQL and data profiling for test design and validation. Hands-on experience with test automation frameworks such as Python/PySpark, Great Expectations, Pytest, or dbt tests. Practical understanding of CI/CD integration (Azure DevOps, GitHub Actions, or similar). Strong problem-solving skills and the ability to work independently as the lead testing specialist. More ❯
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 … 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 … 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 More ❯
the business. Reporting to a highly experienced team lead, you'll work closely with stakeholders across Product, Engineering, and Commercial. Design and build reusable, high-performance data models using dbt Translate business logic into well-documented sources of truth Contribute to data quality checks, testing, and CI/CD best practices Partner with cross-functional teams to deliver scalable analytics … solutions Help shape architectural decisions and improve data model governance YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will bring: Strong SQL skills and hands-on experience with dbt (or similar tools) Experience designing as well as building data models Exposure to Snowflake and/or data pipeline tools Understanding of testing, CI/CD, and data quality frameworks THE More ❯
