4 of 4 dbt Jobs in Northamptonshire

Data Engineering, Data Quality, or Data Governance roles with production systems. Strong SQL and hands-on experience with one or more: Spark/Databricks, dbt, Airflow/Databricks Workflows, Kafka/Kinesis, Python. Experience implementing data quality frameworks and observability (e.g., Great Expectations, Soda, Monte Carlo, Databricks DQ, BigQuery ...

leadership team to make sure our data function not only delivers but also drives strategic decision-making. Our Tech Stack: Python, Docker, Dagster, dbt, Fivetran, Apache Iceberg, Snowflake, S3, Glue, ECS, and Omni. We're constantly evolving our stack and welcome input from engineering leaders on how we can improve … orchestration frameworks (Dagster, Airflow, Prefect). Advanced knowledge of data modelling and architecture (Kimball dimensional modelling, Data Vault etc). Hands-on experience with dbt, modern data warehouses, and AWS. Demonstrated ability to mentor and develop engineers. Desirable Experience: Experience with Snowflake. Experience with Apache Iceberg. Experience with infrastructure ...

practices. You will teach the end-to-end data lifecycle, including ETL processes, data modelling, and building/managing data warehouses (using tools like DBT). You will cover essential Data Statistics, helping learners understand probability, distributions, and hypothesis testing to drive accurate decision-making. Curriculum Development and Innovation … control) within a data context. Data Engineering Lifecycle: Practical experience in designing and implementing ETL processes, data modelling, and managing data warehouses (experience with DBT is a plus). Pipelines & Orchestration: Familiarity with building data pipelines, covering batch processing (e.g., Apache Airflow) and an understanding of stream processing (e.g., Kafka ...

stakeholders, making sure that complex data solutions are clearly understood and aligned with business goals. What you'll bring to the role Expertise in dbt&SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models. Cloud Technology Knowledge: Strong familiarity with cloud platforms like … Driven: Proficiency in designing repeatable and scalable workflows for data transformation. What you'll be doing in the role Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimise transformations and implement robust testing strategies to ensure data integrity and model performance. Ownership: Monitoring and maintaining dbt ...