26 to 50 of 411 dbt Jobs

mentoring engineers, with strong stakeholder management * Rigorous approach to data quality and testing * Databricks certification Desirable * Unity Catalog, MLflow and Databricks Asset Bundles * dbt or similar transformation frameworks * Retail or CPG data such as POS, inventory, supply chain * Streaming technologies such as Kafka or Event Hubs Education * Degree in computer ...

Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect, or Dagster. Strong communicator: Skilled at writing ...

/Sub, or Dataflow.You know stream processing. We don't do much of it yet, but it's coming soon.You've worked with dbt or similar transformation and modeling frameworks.You're comfortable reading or contributing to application code in Go or Ruby when needed for an integration. Our backend ...

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 ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer Reward ...

Scrum or Kanban.Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions.Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies.Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.Unfortunately we are unable to progress ...

technical stakeholders Track record of designing and analysing incrementality experiments or A/B tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience ...

technical stakeholders Track record of designing and analysing incrementality experiments or A/B tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience ...

These are some of the key components to the position: Pipeline Development: Building, maintaining, and optimizing scalable, high-performing data pipelines using dbt, SQL, and modern cloud technologies. Collaboration: Partnering directly with data analysts and business leads to understand domain requirements and turn raw transactional data into structured, actionable insights. ...

analytics/automation (e.g., pandas) and building repeatable pipelines.Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt).J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional ...

similar BI tooling, and an understanding of how data models feed downstream analytics and reporting. Exposure to analytics engineering practices and tooling (e.g. dbt conceptual patterns, data contracts, semantic layers). Experience in e-commerce or retail data environments is desirable. Familiarity with data mesh or data platform architecture patterns ...

with delivery. Experience working across Architecture, Engineering, Product, and Business teams. Data Engineering & Platforms Strong hands-on experience with: Databricks Delta Lake Unity Catalog dbt Spark/PySpark Data pipeline development and optimisation Lakehouse architectures ETL/ELT frameworks Enterprise data platform implementation Cloud Technologies (AWS) Experience with: Amazon ...

refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python for automation Solid understanding of star schemas ...

engineering, or a related field; a master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with ...

Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs into scalable, reusable data products … working knowledge of the wider Google Cloud Platform (GCP) ecosystem. Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling. A solid understanding of data modelling, dimensional modelling, orchestration, testing, data ...

Synapse‐centric estate toward a Microsoft Fabric and OneLake‐based architecture, embracing modern engineering patterns such as serverless storage, medallion design, Spark‐based transformations, DBT‐driven analytics engineering, and fully automated CI/CD.This role can be based in either Glasgow or London as both offices have large data teams.You ...

databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance ...

components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere ...

like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere ...

like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practicesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere ...

quality frameworks and pipeline monitoring. Excellent communication and stakeholder engagement skills. Desirable Experience Databricks certification. Unity Catalog and Databricks Asset Bundles. Terraform or Bicep. dbt or similar transformation frameworks. Kafka, Event Hubs, or other streaming technologies. Retail, supply chain, or consumer goods industry experience. Apply Now This is a fantastic ...

demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from high-volume transactional retail data. End-to-End Deployment (MLOps): Partner with our engineers to transition your ...

demand sensing and resolving cold-start forecasting problems. Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from high-volume transactional retail data. End-to-End Deployment (MLOps): Partner with our engineers to transition your ...

practices in data protection and information security Desirable Experience with causal inference methods (e.g., diff-in-diff, instrumental variables, propensity score matching) Experience with dbt for data transformation Knowledge of infrastructure as code tools (e.g. Terraform) Strong professional and/or academic background within a highly quantitative discipline (e.g. statistics ...

promote their adoption.Drive continuous improvement in data infrastructure and tooling, leveraging cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark,dbt).Collaborate with PMs to manage project timelines, resource allocation, and deliverables to meet business goals.Work with data governance and compliance teams to ensure data privacy ...