1 to 25 of 50 Remote/Hybrid dbt Jobs

managing ETL/ELT pipeline. Proficiency with at least one scripting/programming language (e.g., Python). Familiarity with modern data engineering tools like dbt, Airflow, Prefect, or similar is a plus. Knowledge of cloud platforms (AWS/Azure/GCP). Understanding of data modelling, quality controls and best ...

managing ETL/ELT pipeline. Proficiency with at least one scripting/programming language (e.g., Python). Familiarity with modern data engineering tools like dbt, Airflow, Prefect, or similar is a plus. Knowledge of cloud platforms (AWS/Azure/GCP). Understanding of data modelling, quality controls and best ...

Data Products and Data as a Product. Ability to influence stakeholders and collaborate with IT architects. Familiarity with data engineering tooling such as Snowflake, DBT, Airflow and Fivetran. The wider technology stack is: Cloud based Big Data Platform - Snowflake Databases - SQL Server, Oracle, NoSQL Data Integration tools (MuleSoft, Fivetran, SSIS ...

etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala ...

communication skills, with fluency in written and spoken English. Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt, Power BI, or similar data analytics tools. Understanding of machine learning, AI integration, and vector databases. Interest in UI design or Agile project delivery. Additional language ...

communication skills, with fluency in written and spoken English. Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt , Power BI , or similar data analytics tools. Understanding of machine learning , AI integration , and vector databases . Interest in UI design or Agile project delivery. Additional ...

person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . ...

needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About ...

needed. Technology/Skills requirements SQL and another language e.g. Python ELT/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About ...

support products as well as design & deliver new innovations for growth, including Agentic development. Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development ...

support products as well as design & deliver new innovations for growth, including Agentic development. Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development ...

Experience with Airflow or similar orchestration tools Cloud data experience (AWS or GCP) Solid understanding of modern data engineering best practices Nice to have: dbt, Terraform, or Docker experience Exposure to BI tools (Looker, Power BI) Why apply? Salary up to £75,000 Hybrid working High-impact role ...

Spark Structured Streaming, Kafka, Event Hub). * Experience with infrastructure-as-code (Terraform or Bicep). * Background in BI or analytics engineering (Power BI, dbt) is a plus. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). ...

challenge the status quo and drive improvements. Confidence in collaborating across teams and markets to deliver impactful solutions. Nice-to-haves: Familiarity with Airflow , DBT , BigQuery , Redshift , Terraform , or Kubernetes . BENEFITS The successful Data Engineer will receive the following benefits: Salary up to £75,000 Flexible working arrangements, including ...

Synapse, AWS Redshift, Google BigQuery ) with legacy systems, ensuring performance and scalability. Deep knowledge of ETL/ELT processes , leveraging tools like Apache Airflow, dbt, or Informatica , with a focus on ensuring data quality, lineage, and integrity across the data lifecycle. Practical expertise in data and AI governance , including implementing ...

using Python and SQL to ensure clean, reliable, and well-structured data. You'll design and optimise workflows using tools such as Airflow and dbt to support scalable, high-quality analytics layers. You'll help architect and evolve cloud-based data platforms across technologies like BigQuery, Redshift, and Terraform. ...

digital environments Strong Python for automation workflows and data pipelines Proficiency in SQL, data warehousing, and cloud platforms (GCP/Azure preferred) Experience with dbt, Airflow, or similar data modeling tools Understanding of digital marketing data (GA4, ad servers, programmatic platforms) Team management/mentoring experience with collaborative leadership style ...

Excellent proficiency in data manipulation languages, particularly SQL, and able to write complex queries and repeatable stored procedures. Experience in low-code solutions like DBT is highly desirable Experience of developing data pipeline and automations, for example via Python Data integration using APIs Ownership of systems critical data and string ...

decisions What we're looking for: Strong experience in analytics/data engineering , including team leadership Expert SQL and strong Python skills Hands-on dbt and cloud data warehouse experience (e.g. BigQuery) Experience working with digital advertising data Proven ability to own roadmaps and influence stakeholders ...

designing and owning data and analytics platforms in cloud environments. Dealing with huge volumes of data in a modern stacks (e.g. Snowflake, dbt, Airflow) and CI/CD practices. Whilst having microservices experience within a cloud environment, ideally AWS. If you have domain experience, great – but it's NOT essential. ...

designing and owning data and analytics platforms in cloud environments. Dealing with huge volumes of data in a modern stacks (e.g. Snowflake, dbt, Airflow) and CI/CD practices. Whilst having microservices experience within a cloud environment, ideally AWS. If you have domain experience, great – but it’s NOT essential. ...

building and optimising large-scale data pipelines Practical expertise with Databricks and Azure services Confident communicator with strong problem-solving ability Core Technologies Databricks DBT Python PySpark SQL Azure If you are interested in this role then please apply via this platform or email me a copy of your most ...

eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life ...

eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life ...

troubleshoot data solutions end-to-end Experience working with large datasets and complex data ecosystems Familiarity with modern data platforms and tools (e.g., Snowflake, dbt, GCP, Airflow) is a plus, but not a requirement Strong analytical and problem-solving skills, with a keen eye for detail and data quality Excellent ...