1 to 25 of 77 Remote/Hybrid dbt Jobs

Analytics Developer, Data Engineer or similar role. Strong SQL skills with experience writing complex and optimised queries. Experience building and maintaining data models using dbt or similar transformation tools. Experience working with modern cloud data platforms such as Snowflake, BigQuery, Azure Synapse or Databricks. Strong understanding of ELT processes ...

What matters is what you have built, what you can show, and how you think about problems. Nice to have: hands-on experience with dbt, Dataform or equivalent transformation and orchestration frameworks; familiarity with Terraform or equivalent infrastructure-as-code tooling; comfort with vector databases, embeddings, or semantic search ...

business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such as BitBucket Data Warehouse/Kimball methodology Data ...

solid understanding of ETL pipelines and data transformation Proven experience in data modelling (end-to-end), including performance optimisation using tools such as DBT and distributed processing frameworks like SparkSQL Experience with CI/CD, version control (e.g. Git, Jenkins) and pipeline orchestration tools such as Airflow ...

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 Data storytelling and able to condense complex analytics into clear narratives and actions for a range of technical and non-technical stakeholders ...

Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows).Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs.Expert-level skills in Requirements Engineering, Business Process ...

driven projects.Relevant experience includes:• Databricks or Snowflake, ideally within AWS• Python, PySpark and SQL• ETL pipelines and data transformation• End-to-end data modelling• DBT, SparkSQL, Airflow, Git, Jenkins or similar tools• Data quality, governance and performance optimisation• Working well with technical and non-technical teamsThe senior role needs someone ...

experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication and stakeholder engagement ...

data warehouses such as Snowflake, BigQuery or similar Solid understanding of dimensional modelling and data warehousing concepts Exposure to data transformation tools such as DBT is beneficial Basic knowledge of Python, ideally in the context of orchestration tools like Airflow Confident communication skills and the ability to work effectively ...

refinement, sprint planning, and UAT support. Experience with cloud‐based data platforms, particularly Snowflake. Understanding of ETL/ELT frameworks and tools such as dbt and Apache Airflow. Knowledge of data governance, metadata management, and data lineage concepts. Experience supporting Business Intelligence and reporting solutions. Familiarity with modern analytics engineering ...

platforms including: Google BigQuery Snowflake Microsoft Fabric Experience designing scalable, enterprise-grade data architectures. Strong understanding of modern data engineering tooling and practices, including dbt and cloud-native services. Technical Mindset Highly hands-on and technically credible. Comfortable diving into existing pipelines, transformations, and codebases rather than operating solely ...

Experience building transformation layers in ELT environmentsTrack record of delivering in hands-on roles (not purely architectural)\n Highly Desirable \n \n Experience with dbt or similar transformation frameworks \nFamiliarity with modern data stack principlesExperience implementing testing and data quality frameworksExposure to CI/CD in data environmentsExperience rationalising large ...

schema versioning, contract testing, and backward‐compatibility strategies**Data Engineering*** Experience building and operating data pipelines on cloud data platforms* Strong working knowledge of **dbt** for data transformations, testing, and documentation* Familiarity with Snowflake data modelling, optimisation, and cost‐aware design* Understanding of data quality, lineage, and observability concepts**DevOps ...

schema versioning, contract testing, and backward‐compatibility strategies**Data Engineering*** Experience building and operating data pipelines on cloud data platforms* Strong working knowledge of **dbt** for data transformations, testing, and documentation* Familiarity with Snowflake data modelling, optimisation, and cost‐aware design* Understanding of data quality, lineage, and observability concepts**DevOps ...

federated model; provision, configure, and deploy services on AWS without a dedicated infrastructure team Solve complex data pipeline and orchestration challenges using Snowflake, DBT, and UAC Requirments 7+ years of enterprise software engineering Python development Production AWS (Lambda, S3, microservices, CI/CD pipelines) Strong data engineering with Snowflake ...

experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar ...

everyone downstream, including governance Who you are Strong in SQL and Python, with real pipeline experience, not just querying Comfortable with Spark or PySpark, dbt and Airflow for orchestration Experience with at least one major cloud platform (AWS, GCP or Azure) You've worked with vector databases or feature stores ...

schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...

Ideally a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas. \n You have experience with SQL, python/R, dbt (ideally) and building data pipelines. You have strong communication skills and an ability to translate business insights into persuasive analytical narratives that are simple ...

control processes;- Knowledge of cloud cost and resource optimisation (FinOps principles)- Awareness of agile delivery methodologies (Scrum or Kanban).Desirable: - Experience with DBT (Data Build Tool) or Prefect.- Awareness of AI/ML data preparation and the security implications of LLM training data.- Knowledge of housing, asset management, or repairs ...

someone who combines deep data expertise with broader engineering capability, get in touch with Justin Donaldson for a confidential chat. Skills: dbt spark sql snowflake apache airflow cloud JBLE1 ...

working with data engineering, data analytics, data visualisation and data science teams using platforms such as Alation, Soda, Microsoft SQL Server, Google Cloud Platform, DBT, Snowflake Cloud Data Platform, Tableau and Dataiku (or similar).\n Join us as we redefine travel experiences and create memories for millions of passengers. ...

Engineering team has recently undergone a technology transformation to \n migrate from our legacy data warehouse to a brand-new data platform (Snowflake + dbt \n + Argo Workflows + Kafka) to better enable the exciting needs of our data stakeholders \n (Data Science, Machine Learning and Business Intelligence, etc. … working with distributed event stores and stream-processing platforms \n such as Kafka of Kinesis. \n ● Experience working with batch processing frameworks, such as DBT, Argo \n Workflows, Apache Airflow, etc. \n ● Familiarity with Docker, Kubernetes, Amazon EKS \n ● Familiarity with Continuous Integration with GitHub Actions \n ● Familiarity with Test ...

deep understanding of data platform architecture and data modeling. Tooling: Proficiency in SQL, Python, and Databricks is essential. Experience with Snowflake, Sigma, and dbt Cloud is highly preferred. Industry Context: Previous experience in Fintech (small to midsize) or regulated industries (gaming/betting) is a significant advantage. Leadership Style: Proven ...

strong technical skillset, especially advanced SQL proficiency to handle complex data manipulation in a modern data warehouse (like Snowflake). Experience with data modeling (dbt) and visualisation tools to create insightful and easy-to-digest dashboards and reports. Proficient with a programming language such as Python or R for data ...