176 to 200 of 279 Remote/Hybrid dbt Jobs

operationalisation. How You'll Make An Impact Design and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analytics Work closely with data analysts … software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/ ...

Wolfspeed in Belfast is looking for a Data Modeler to join the Corporate Data Intelligence Team. In this hybrid role, you will bridge business stakeholders with data platforms, focusing on SAP ERP and Salesforce. Your ...

well-documented datasets for business use, and working with upstream ingestion and orchestration. You will implement complex data models in our modern data stack (dbt, Snowflake or comparable warehouses) and collaborate with analytics, data science, and visualization teams to ensure data products are fit for purpose #J-18808-Ljbffr ...

Platform, and Product Engineering teams, and drive reliable ingestion, modelling, and orchestration to support data-driven features for customers globally. You will design dbt models and semantic layers, own Dagster orchestration, onboard new data sources at scale, and advance self-serve analytics with agentic workflows and #J-18808-Ljbffr ...

models and pipelines in Snowflake, migrating programme use cases, and collaborating with Data Scientists to validate model performance. Experience with Snowflake ML, PySpark, and DBT is essential. The candidate will manage the migration from Pre-Prod to Prod, support PoC phases, and document findings during the transition, #J-18808-Ljbffr ...

data professional to own the data platform end-to-end, ensuring accuracy before it reaches the business. You will own the warehouse, the dbt project and semantic layer, and Lightdash dashboards, shaping a single source of truth for KPIs. You’ll report to the Data Lead, collaborate with ...

such as dimensional modelling, Kimball, or Data Vault Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem Familiarity with tools such as DBT, Python, or PySpark is beneficial Experience working in data transformation or modernisation programmes Understanding of architecture principles or a clear interest in developing into ...

such as dimensional modelling, Kimball, or Data Vault Exposure to modern cloud data platforms, ideally within the Microsoft ecosystem Familiarity with tools such as DBT, Python, or PySpark is beneficial Experience working in data transformation or modernisation programmes Understanding of architecture principles or a clear interest in developing into ...

business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually … trade‐off: more ownership and visibility, less process and hand‐holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts ...

transformation. You will help design measurement foundations, build reliable signals, and enable scalable analytics across the organization. You will work with Mixpanel, Looker, and dbt to produce dashboards, maintain data models, and translate insights into recommendations for product teams and executives. This role is remote-friendly and collaborative across global ...

hiring a Senior Data Engineer to work on the analytics engineering platform at Depop. You’ll work on developing Airflow pipelines, the deployment of dbt models, managing data ingestion through Fivetran and developing internal tooling. You’ll also help enable data scientists and ML engineers to build and deploy models … reporting. Responsibilities As a Senior Data Engineer, you can expect to: Build and maintain orchestration pipelines on Astronomer (Airflow), including automated model deployment for dbt users. Design and manage data ingestion and orchestration using Fivetran at scale Contribute to the team’s vision and roadmap, and lead technically complex initiatives ...

visible role, working across analytics engineering, cloud platforms, governance and AI-enabled analytics. The role centres on delivering analytics solutions using Google Cloud, BigQuery, dbt and Looker, while mentoring colleagues and driving opportunities for account growth and renewals. #J-18808-Ljbffr ...

technically while delivering high-impact projects. Although not a requirement, helpful experience includes: An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures. During our application process, you will ...

neurodivergent people understand themselves, how practitioners sharpen their craft, and how teams design better support. The stack we work in: Fivetran → Databricks (Unity Catalog) → dbt → semantic layer → Power BI and R/Quarto for partner-grade reporting. Mature in some places, still being built in others. You’d help … Psychoeducation, prescribing, educational navigation, and therapy sessions all under one roof. About The Role You build the bridge between raw source data and the dbt layer the rest of the team builds on, working across the medallion architecture. Your craft is modelling raw, messy, real-world source data (Semble, Zendesk ...

business stakeholders to build scalable, reliable and well-governed data products that drive decision-making and customer value. The core data stack includes Snowflake, dbt, AWS and Tableau , and they are investing heavily in creating trusted, observable and AI-ready data capabilities. Key Responsibilities Build and enhance data pipelines, models … platform and business transformation initiatives Skills & Experience Strong Data Engineering experience with advanced SQL and data modelling skills Hands-on experience with Snowflake Strong dbt (or equivalent modern data transformation tooling) experience Proven cloud data engineering experience, AWS is essential Experience building production-grade data pipelines and data products Strong ...

contribute wherever your expertise can have the greatest impact. Our application data lives primarily in CockroachDB, with a modern data platform built around BigQuery, dbt, Airflow and pub/sub. Data flows both ways: into analytics and modelling, and back into the products our customers use. That culture translates into … working beyond a narrowly defined specialism when that is what the problem requires. Experience that will set you apart Experience with BigQuery, Airflow and dbt, or equivalent modern data technologies. Experience with CockroachDB, Postgres or other distributed/relational databases, including CDC or event-driven data pipelines. Knowledge of data ...

Kubernetes, Docker, Spark and related monitoring tools (e.g. DataDog, Grafana, Prometheus) for DataOps a huge plus; Experience with Airflow a huge plus; Experience with dbt for pipeline modelling also beneficial; Skilled at shaping needs into a solid set of requirements and designing scalable solutions to meet them; Able to quickly … more effective platform; Desirable: energy domain knowledge Our core data stack Python as our main programming language Databricks Spark for data processing Databricks/dbt/SQL for data modelling and analytics Streamlit for data applications and visualisations Airflow for job scheduling and tracking CircleCI for continuous deployment Parquet ...

operationalisation. How You’ll Make An Impact Design and implement high‐performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake Design and implement Looker structures (explores, views, etc) which will enable users across the organization to self‐serve analytics Work closely with data analysts … software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure Passionate about sales, finance, customer, marketing and/ ...

implementation to the operationalisation. How You'll Make An ImpactDesign and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and SnowflakeDesign and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analyticsWork closely with data analysts … software development lifecycle in analytics (e.g. version control, testing, and CI/CD)Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar)Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft AzurePassionate about sales, finance, customer, marketing and/or product ...

technical leader for analytics engineering, promoting best practices in data modelling, testing, documentation, and governance. Design and implement scalable, reusable data models using dbt and Snowflake. Lead architectural decisions, balancing performance, cost, scalability, and usability. Contribute to the evolution of analytics engineering standards, tooling, and data platform capabilities. Make … within the data ecosystem. Experience with DataDog, Dagster, Fivetran, or Tableau would be beneficial but is not essential. Our Tech Environment: Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau. Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway. Collaboration Tools: GitHub, Jira, Confluence. Analytics Tools ...

proven track record in GTM planning, including capacity modeling, quota setting, and headcount planning. Modern Data Stack: High proficiency in Snowflake and dbt (data build tool) for building scalable, governed data models. Technical Stack Knowledge: Advanced SQL and proficiency in Python or R for modeling. Deep experience with Salesforce ...

other health organisations to deliver clinician-aligned analytics and reporting. As a Senior Data Engineer, you will bridge raw source data to the dbt layer, building robust, analyst-ready data models across systems and ensuring governance and maintainability. We value neurodiversity, flexible remote work, and a focus on data-driven ...

Data Scientists to migrate and validate PySpark-based use cases during the September–December window. Ideal candidates will bring Snowflake expertise, PySpark experience, and DBT knowledge. #J-18808-Ljbffr ...

Senior/Lead Analytics Engineer to raise the modelling maturity across domains. You will own and deliver complex modelling challenges, shape best practices for dbt and governance, and mentor teams while partnering with product and domain owners to ensure scalable data products. You will drive the data mesh alignment, optimise ...

Senior Sales Engineer to join our Enterprise sales team. You will work with enterprise customers to understand complex data replication needs, showcase Fivetran and dbt Labs solutions, and lead proof-of-value efforts to secure technical wins. This full-time remote role is based in Dublin or London, requiring strong ...