1 to 25 of 235 Permanent dbt Jobs

data quality, testing, and observability practices. Desirable Skills Experience supporting Machine Learning pipelines or feature engineering. Knowledge of containerisation (Docker, Kubernetes). Experience with dbt for modelling and transformation. Background in financial services, payments, trading, or other data-rich environments. Experience with real-time analytics and low‐latency data architectures. ...

security, and regulatory compliance . Ability to work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy ...

Week Onsite) Type: Fixed Term Contract (6 Months) Mandatory Skills Needed : SQL ( Advanced) , AWS Cloud (Glue,Ethena,EMR), Airflow, Kafka/Kenesis ,Python, Terraform DBT & Snowflake (Basic) AWS Data Engineer Design, develop, and maintain data pipelines for collecting, transforming, and loading data into various data stores. Build and maintain data ...

beneficial) Strong data modelling knowledge Understanding of data governance and security best practices Ability to translate business needs into scalable solutions Desirable Airflow, dbt, Kafka, CI/CD, BI tools, governance platforms, financial services experience. Interested in building modern, enterprise-scale data platforms in a highly regulated environment? Apply ...

preferred, or similar, for pipeline development and automation Cloud experience across AWS, Azure, or GCP Familiarity with orchestration and analytics engineering tools such as dbt, Airflow, or equivalents Good habits around governance, security, documentation, version control (Git), and CI/CD The kind of person who thrives here Confident, curious ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/ ...

Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain, and enhance reporting ...

data warehousing and modelling across curated and analytics layers Enhancing governance, lineage, and data quality across the platform Introducing and optimising tooling such as dbt and orchestration frameworks Supporting an upcoming migration project and modernisation of existing processes Collaborating closely with senior engineers and business stakeholders Requirements and Tech Stack ...

stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding of data governance, validation ...

Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment. ...

years’ experience as a Data Engineer with a strong focus on ETL/ELT. • Advanced SQL and Python development skills. • Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer). • Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered. • Strong understanding ...

problem-solving skills The ability to communicate technical concepts clearly to non-technical audiences Desirable experience includes cloud certifications, Infrastructure as Code (e.g. Terraform), dbt, or Databricks. What’s on Offer Competitive salary of £50,000–£55,000 Discretionary annual bonus 25 days’ annual leave plus options to purchase additional ...

/ETL workflows). Experience working in multi-cloud environments (GCP/Azure). Proficiency with platforms such as BigQuery, Dataflow, Dataform, Cloud Run, DBT, Dataproc, SQL, Python, Airflow, Pub/Sub, and equivalent Azure tooling such as ADLS, Azure Functions, and Databricks. Experience with microservices architectures (Kubernetes, Docker). ...

Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment. ...

Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven experience optimising complex queries Strong understanding of Data Governance, including ...

improvements, upskilling opportunities, and resourcing required to support the target state. The required tech stack is Google Big Query plus ‘Infrastructure as Code’/DBT to be confirmed. Key deliverables Documented target state BigQuery architecture and data model. Defined and implemented golden tables with clear ownership and governance. Standards ...

leadership qualities and is enthusiastic to take on new challenges across the data stack. Job Requirements • Experience with Databricks, Spark and working knowledge of DBT for data processing and transformation. • Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design. • Hands-on experience building data pipelines using ...

evolution of the enterprise data landscape using modern platforms such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview). Drive adoption of Delta Lake, Iceberg, and Hudi to support ...

Azure) Experienced building real pipelines — not just notebooks Curious about how financial systems actually work Bonus points for: Exposure to ML workflows Familiarity with dbt, Airflow, Docker Experience handling financial or semi-structured data Interest in LLM infrastructure and vector databases Finance background is not required. Intellectual horsepower and ownership ...

small, capable team You wont just be delivering features; youll be setting direction. The tech youll work with Core:Azure, Databricks, Python, SQL, dbt, MQTT Storage & Serving:Delta Lake, Postgres, TimescaleDB Modelling & ML:MLflow Visualisation:Grafana What makes you a great fit Youre someone who can zoom out to architecture ...

contributing to best practices across the wider platform. You'll be working heavily with Python , SQL and Spark , using tools such as Databricks , Airflow , dbt and Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing ...

Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This is an opportunity to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. ...