76 to 100 of 196 Remote/Hybrid dbt Jobs

experience with data streaming technologies, combining sources from adhoc batches through to real‐time streams >> Experience establishing and developing ETL/ELT tooling (Dagster, dbt, AWS Glue, Airflow or equivalents) >> Experience developing and maintaining API endpoints and data interfaces for developers >> Understanding of Node.js and TypeScript, enabling you to work ...

experience with data streaming technologies, combining sources from adhoc batches through to real-time streams Experience establishing and developing ETL/ELT tooling (Dagster, dbt, AWS Glue, Airflow or equivalents) Experience developing and maintaining API endpoints and data interfaces for developers Understanding of Node.js and TypeScript, enabling you to work ...

with all of these): Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. Discover more about our Analytics Community in our blog and explore how we use analytics and Data Science ...

role in building and maintaining core datasets, ensuring data quality and accessibility. Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization. Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating ...

e.g., Docker, Fast API) Solid data and database engineering Strong SQL and experience working with relational databases Understanding of schemas, data transformations and (ideally) DBT Experience preparing data for model training and scoring Hands on AI/LLM experience Working with embeddings, vector databases or RAG style workflows Experience applying ...

optimize Spark/Scala jobs for ingestion and transformation, using the existing GitHub Actions and Terraform setup for deployments Implement, run and monitor dbt tests to ensure data quality and consistent dimensional models Extend and maintain Delta Lake fact and dimension tables for analytics use cases, following a bronze/… analysis and AI coding agents into day-to-day workflows Tech stack Azure Databricks (Spark, Delta Lake) SQL Server, Confluent Kafka Scala, SQL, dbt Git, GitHub Actions, Terraform Sigma (BI) Must-have experience Commercial experience as a Data Engineer working with Spark in production (ideally on Databricks) Essential experience working ...

think about the work and not just how fast you produce it, we especially want to hear that. Our stack: Snowflake, Postgres, dbt, Fivetran, HubSpot, PostHog, Metabase. You'll need: Data engineering experience in a startup or scale-up, where you've built the platform rather than inherited one Strong ...

assets and how these connect to our users’ financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including ...

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 ...

methods for exploratory work and partner with a data scientist on anything production‐grade Strong SQL, fluency with a modern data stack (Snowflake, Hex, dbt, or equivalent), and a clear point of view on data visualization and what makes a dashboard or analytical artifact useful A tinkerer and builder with ...

ability to map metrics through to underlying data sources. Experience defining data quality rules, critical data elements and data governance processes. Experience working with dbt and data warehouse environments. Strong stakeholder management skills with experience working directly with business users and non-technical teams. Experience within customer analytics ...

AI. What you'll do Design, build and operate scalable data pipelines, data models and end-to-end solution architectures on GCP (BigQuery, Python, dbt, Airflow, Dataform), balancing reliability, maintainability, performance and cost. Own technical delivery on your projects and accounts, from scoping to production: making the design decisions, managing … operating reliable data pipelines, data models and cloud platforms (GCP preferred, AWS or Azure also welcome), with transformation and orchestration tooling such as dbt, Airflow or Dataform. Strong software engineering practices: Git-based workflows, code review, automated testing and CI/CD. Hands-on experience building with LLMs (Gemini ...

safely, without reinventing infrastructure each time. Own the AI & data platform run-state. Engineer and operate the services behind our Medallion architecture (Snowflake, Azure, DBT) so analytics and AI use-cases scale across the firm. Treat internal teams as customers. Set a product mindset for the platform — roadmap, adoption, developer ...

MuleSoft or Informatica Nice to have Experience at a Databricks SI partner, or at Databricks itself Familiarity with competing platforms (Snowflake, Synapse, Fabric, dbt) and how they stack up against Databricks Existing relationships at Databricks Experience standing up a new capability or growing a new team What ...

cost-effectiveness of our transformation pipeline over time. Our modern data stackYou'll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude. What we're looking forWe're looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically ...

ideas, while making a tangible impact on services used across the Department for Business, Innovation, Science and Trade. This role requires SC clearance. DBT's requirement for SC clearance is to have been present in the UK for at least 3 of the last 5 years. Failure to meet this ...

data science and ML model development and monitoring Requirements Extensive analytics engineering background with expert SQL and data modelling skills. Hands-on experience with dbt (or similar framework) to build well-structured, tested, and maintainable data models. Proficiency with Looker or a comparable BI tool. Track record of managing, supporting ...

Support data science and ML model development and monitoring Extensive analytics engineering background with expert SQL and data modelling skills. Hands-on experience with dbt (or similar framework) to build well-structured, tested, and maintainable data models. Proficiency with Looker or a comparable BI tool. Track record of managing, supporting ...

Snowflake, from ERP, pharmacy, clinic, logistics and finance systems. Own orchestration, monitoring and alerting so pipelines fail loudly and recover predictably. Build and maintain dbt models that give the business one agreed version of core data. Measure and publish data quality (completeness, duplicates, timeliness) and fix root causes, not symptoms. … colleagues, and the judgement to question a requirement before building it. Terraform or other infrastructure-as-code, and AWS. Data modelling and transformation with dbt or similar. Experience in a regulated environment such as healthcare, pharmaceuticals or financial services. Integrating ERP systems such as Business Central or Sage. Power ...

streaming processes with Spark. The ideal candidate has over 5 years of experience in data engineering with Python, and hands-on experience with DBT and Airflow. The position offers a flexible remote work arrangement within the UK or EU time zones, along with a learning budget and conference allowance. #J ...

seeking an experienced data engineering leader to shape enterprise-wide strategy and deliver complex data solutions. You will lead across teams using Databricks, dbt, Azure, Python, and SQL, driving modernisation, automation and security. You will mentor engineers, influence architectural decisions and translate business strategy into engineering outcomes, while championing best ...

seeking an experienced data engineering leader to shape enterprise-wide strategy and deliver complex data solutions. You will lead across teams using Databricks, dbt, Azure, Python, and SQL, driving modernisation, automation and security. You will mentor engineers, influence architectural decisions and translate business strategy into engineering outcomes, while championing best ...

monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack — Vertex AI, BigQuery, dbt, Airflow, and Terraform — on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next. ...

with enterprise systems. Data Engineering & Platforms Ability to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents. Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals. Strong debugging instincts with imperfect, real ...

used across the organisation, including taking ownership of our data transformation and orchestration tooling; batch and streaming infrastructure and exploration tools (Databricks, Airflow, dbt) and look after our Datalake (ingestion, storage, governance, privacy). You’ll work with a modern, cutting‐edge data stack and play a key role … engineers and have a strong grasp of their needs and how they operate Big data technologies, with expertise in tools & platforms such as Airflow, dbt, Kafka, Databricks and data observability & catalogue) solutions (e.g. Monte Carlo, Atlan, Datahub) Cloud Platform proficiency: familiarity with AWS, GCP, or Microsoft Azure, with hands ...