51 to 75 of 128 Remote dbt Jobs

Ideal Candidate Strong proficiency in Python and SQL for data wrangling and automation* Experience with ML workflows, model deployment, and feature engineering* Familiarity with modern data platforms (e.g., BigQuery, dbt, Looker)* Understanding of data modelling and cloud-based infrastructure (AWS or GCP)* Comfortable working in a fast-paced, product-focused environment* Proactive, curious, and capable of balancing technical depth with … business understanding* Excellent communication skills and a collaborative mindset Tech Stack/Tools Python SQL Dbt Spark or Databricks GCP (Open to AWS/Azure) CI/CD tooling Benefits * Company profit share scheme* Bupa private healthcare with 24/7 GP access* Up to 8% employer pension contribution* 25 days holiday + bank holidays* Access to GymPass Gold (national More ❯

unlock their full potential. Liaise with stakeholders to shape clear, actionable data requirements - even when things are complex or incomplete. What You'll Bring Strong hands-on expertise in DBT, SQL, Snowflake , and orchestration tools like Airflow. Experience with Azure Data Factory and visualisation tools such as Power BI. Deep knowledge of agile data development methodologies and best practices. A More ❯

Requirements: 5+ years of experience working with production systems or data warehouses. Proficiency in Python, Snowflake/SQL, and experience with orchestration tools like Argo or Airflow. Knowledge of DBT is preferred. Experience with Retool is a plus. Get to know DevsData : We are a technology consulting company and a recruitment agency, delivering software solutions to clients from Europe and More ❯

in a modern cloud environment. You will play a key role in building and optimizing our Medallion architecture (Bronze, Silver, Gold layers), working with modern tools such as Databricks , dbt , Azure Data Factory , and Python/SQL to support critical business analytics and AI/ML initiatives. Key Responsibilities ETL Development : Design and build robust and reusable ETL/ELT … pipelines through the Medallion architecture in Databricks . Data Transformation : Create and manage data models and transformations using dbt , ensuring clear lineage, version control, and modularity. Pipeline Orchestration : Develop and manage workflow orchestration using Azure Data Factory , including setting up triggers, pipelines, and integration runtimes. System Maintenance : Monitor, maintain, and optimize existing data pipelines, including cron job scheduling and batch … privacy regulations. Required Skills and Experience 5+ years of experience in data engineering or similar roles. Strong experience with Databricks , including notebooks, cluster configuration, and Delta Lake. Proficiency in dbt for transformation logic and version-controlled data modeling. Deep knowledge of Azure Data Factory , including pipeline orchestration and integration with other Azure services. Experience with data integration (e.g. : APIs, JSON More ❯

are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform … are achievable , and driv ing a culture of iterative improvemen t. Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads . Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are supported by More ❯

to inform strategic decisions both at the Board/Executive level and at the business unit level. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset Work closely with stakeholders across the company to gather data requirements and setup dashboards Promote a data driven culture at Notabene and train, upskill … working in data engineering with large sets of data. Ex: millions of students, transactions. Proven experience in building and maintaining ETL pipelines and data infrastructure Strong experience working with dbt core/cloud Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence Expertise in data governance, best practices, and data security, especially More ❯

Azure ecosystem. Required Experience: • Creating mapping specifications between legacy and CRM, ERP, Finance applications • Integration to D365, Dataverse solutions or other SaaS applications • Data Quality Frameworks: Soda.io, Great Expectations, DBT • Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets • Extracting data from a variety of sources including More ❯

Azure ecosystem. Required Experience: • Creating mapping specifications between legacy and CRM, ERP, Finance applications • Integration to D365, Dataverse solutions or other SaaS applications • Data Quality Frameworks: Soda.io, Great Expectations, DBT • Creation of fault-tolerant data ingestion pipelines in SSIS/KWS/Data Factory/data flows using Linked Services, Integration Datasets • Extracting data from a variety of sources including More ❯

will be valuable to ensure solutions are fit for purpose. Tooling Familiarity: Experience with relevant QA and data-related tools, which may include (but not limited to) Airflow, Stitch, DBT, Great Expectations, Datafold, and AWS. CI/CD Integration: Familiarity with CI/CD pipelines and the ability to integrate testing processes within automated deployment workflows. Communication skills: Clear, candid More ❯

strategy within ambitious software businesses. Specifically, you can expect to be involved in the following: Designing and developing full-stack data pipelines and platforms using modern tools such as dbt, Airflow, and cloud infrastructure Cleansing, enriching and modelling data to generate commercial insights and power C-level dashboards Delivering scalable solutions that support internal use cases and extend directly to … finance, sales) and building tools that serve business needs Background in startups or scale-ups with high adaptability and a hands-on approach Experience with modern data tools (e.g. dbt, Airflow, CI/CD) and at least one cloud platform (AWS, GCP, Azure) Strong communication skills and a track record of credibility in high-pressure or client-facing settings BENEFITS More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential) Benefits: Competitive salary Performance bonus scheme 100% remote working (UK only) 26 days holiday + Bank holidays + Birthday off Opportunity for growth and development More ❯

data pipelines and systems. Expertise in cloud technologies (AWS) and integrating cloud services into data platforms. Strong proficiency in SQL, Python, and modern data engineering tools such as Snowflake, DBT, and Tableau. Experience with data warehousing, data lakes, and data modelling. In-depth knowledge of best practices for data quality, security, and performance optimisation. Ability to work closely with both More ❯

and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting salary (up to £45,000 for the right candidate) Discretionary More ❯

in your work. You support colleagues and customers, contributing to a positive impact. Required technical skills & knowledge: PL/SQL - Python - Microsoft Fabric - Microsoft Synapse - Microsoft SQL Server - Snowflake DBT -Agile - Power BI - AI - Databricks - ML Your profile You have a bachelor's and/or master's degree in computer science or equivalent. You have 2 to 5 years More ❯

strategies to ensure data quality and integrity. Applying test data management tools for crafting, managing, and maintaining test data sets. Developing and execute data transformation tests using DBT (Data Build Tool). Performing ETL testing to validate data extraction, transformation, and loading processes. Collaborating with data engineers, analysts, and other stakeholders to identify and resolve data quality issues. Automating data … Including you! What you'll need Required Qualifications: Proven experience in defining and implementing data testing strategies. Hands-on experience with test data management tools. Proficiency in DBT (Data Build Tool) for data transformation and testing. Strong understanding of ETL processes and experience in ETL testing. Excellent problem-solving skills and attention to detail. Experience with data integration tools and More ❯

step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be relevant). Experience in the More ❯

step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be relevant). Experience in the More ❯

of regulatory reporting and treasury operations in retail banking Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/Luigi Have previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages: 30 minute recruiter call 45 minute call with More ❯

of regulatory reporting and treasury operations in retail banking Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/Luigi Have previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages: 30 minute recruiter call 45 minute call with More ❯

Perform exploratory data analyses to identify arising challenges and new opportunities including proposing potential solutions Build and maintain retail customer and commercial related feature tables in our warehouse using dbt Perform descriptive analysis using Looker visualisations and dashboards Skills Extensive experience with SQL Deep experience with handling data in Python Experience with (or willingness to learn!) dimensional modelling and dbt More ❯