1 to 25 of 62 Remote dbt Jobs

Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to £60,000 per annum + benefits Hybrid working (3 in office ...

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 ...

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 ...

etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala ...

etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes of Python, Pyspark, SQL, Scala ...

enable accurate analytics and data modeling. Deploy and maintain data tools on Kubernetes (Airflow, Superset, RStudio Connect). Support Data Analytics initiatives through DBT , DevOps , and deployment governance. You will work closely with a small, focused team, contributing directly to strategic data initiatives. Candidate Profile: The ideal candidate will have ...

process datasets from various internal and external sources, ensuring data quality, governance, and integrity.* Implement efficient data models and schemas within Snowflake, and use DBT for transformation, orchestration, and workflow management.* Optimise ELT/ETL processes for improved performance, cost efficiency, and scalability.* Troubleshoot and resolve data pipeline issues swiftly ...

providing foundational tooling like address lookup and consent capture, and offering more advanced capabilities like our internal event stream platform and a fully-managed DBT environment. Our services help teams track behavioural signals, enrich customer profiles, and transform raw data into decision-ready insight — all while maintaining a strong focus ...

data models that support analytics, machine learning, and operational use cases. The role involves working with modern data stack technologies such as Databricks, AWS, dbt, Airflow, and Looker. They lead complex technical initiatives, improve engineering efficiency through better CI/CD, observability, and tooling, and ensure data reliability at scale. ...

services and Databricks . Advanced proficiency in Python and SQL for data engineering. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt). Strong knowledge of data warehousing and cloud-based data architectures. Understanding of BI tools such as Power BI or Tableau. Strong problem-solving ...

person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . ...

with Adverity, Segment, or similar data connectors Exposure to A/B testing frameworks and statistical analysis Understanding of data modeling best practices (e.g. dbt, Dataform) What Success Looks Like Paid media reporting is accurate, timely, and insightful across all platforms and clients Data pipelines and views in BigQuery ...

Synapse, AWS Redshift, Google BigQuery ) with legacy systems, ensuring performance and scalability. Deep knowledge of ETL/ELT processes , leveraging tools like Apache Airflow, dbt, or Informatica , with a focus on ensuring data quality, lineage, and integrity across the data lifecycle. Practical expertise in data and AI governance , including implementing ...

eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life ...

using Python and SQL to ensure clean, reliable, and well-structured data. You'll design and optimise workflows using tools such as Airflow and dbt to support scalable, high-quality analytics layers. You'll help architect and evolve cloud-based data platforms across technologies like BigQuery, Redshift, and Terraform. ...

Spark Structured Streaming, Kafka, Event Hub). * Experience with infrastructure-as-code (Terraform or Bicep). * Background in BI or analytics engineering (Power BI, dbt) is a plus. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). ...

sharing Communicating clearly and effectively with diverse technical and non-technical audiences Tech stack Python , Airflow , Terraform Azure (but open to other cloud experience) DBT (nice to have) Exposure to ML pipelines beneficial ...

troubleshoot data solutions end-to-end Experience working with large datasets and complex data ecosystems Familiarity with modern data platforms and tools (e.g., Snowflake, dbt, GCP, Airflow) is a plus, but not a requirement Strong analytical and problem-solving skills, with a keen eye for detail and data quality Excellent ...

data engineering, data architecture, or AI-focused roles. Strong experience with Microsoft Azure (Fabric, Data Factory, Azure SQL, Power BI). Experience with Snowflake, DBT, and modern cloud data warehouses. Hands-on work with agentic AI systems, automation frameworks, and generative AI. Proficiency in Python and SQL; strong data modelling ...

data engineering, data architecture, or AI-focused roles. Strong experience with Microsoft Azure (Fabric, Data Factory, Azure SQL, Power BI). Experience with Snowflake, DBT, and modern cloud data warehouses. Hands-on work with agentic AI systems, automation frameworks, and generative AI. Proficiency in Python and SQL; strong data modelling ...

digital environments Strong Python for automation workflows and data pipelines Proficiency in SQL, data warehousing, and cloud platforms (GCP/Azure preferred) Experience with dbt, Airflow, or similar data modeling tools Understanding of digital marketing data (GA4, ad servers, programmatic platforms) Team management/mentoring experience with collaborative leadership style ...

operate effectively in a fast-paced, scaling organisation. Excellent communication skills and a collaborative approach. Desirable Skills Experience with analytics engineering tools (e.g., dbt, Airflow). Familiarity with experimentation frameworks and A/B testing platforms. Exposure to cloud-based data environments (e.g., Google Cloud Platform). Experience within digital ...

experiment with new tools and ideas • You prefer honest, straightforward engineering cultures Some of the Perks & Benefits • A "Tech Playground" with Databricks, Bicep, DBT, OpenAI and more • Unlimited learning: academies, workshops, lunch & learns • A mix of fun internal clubs (climbing, padel, Dutch club, or create your own) • Wellbeing budget each ...

both to manipulate data and building additional process to support data processing activities Experience manipulating, processing and storing data using tools such as SQL, dbt, pyspark and SSIS Comfortable building out and administrating data models, ensuring that they are accessible and used appropriately, leveraging platforms such as Databricks and Power ...

Adobe Analytics, GTM and Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams ...