1 to 25 of 126 Remote dbt Jobs

ability (Vue, React or Angular good but not necessary) Agile The following is DESIRABLE, not essential: AWS or GCP Buy-side Data tools such as Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio Fixed Income performance, risk or attribution TypeScript and Node Role: Python Developer (Software Engineer Programmer Developer Python Fixed Income JavaScript Node Fixed Income Credit Rates Bonds ABS … to be in the office 1-2 times a week. The tech environment is very new and will soon likely include exposure to the following: Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio This is an environment that has been described as the only corporate environment with a start-up/fintech attitude towards technology. Hours are 9-5. More ❯

data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there are some obvious required Skills … Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and networking. • Exposure to Apache Airflow and DBT is a bonus. • Familiarity with agile principles and practices. • Experience with Azure DevOps pipelines. The "Nice to Haves": • Certification in Azure or related technologies. • Experience with other cloud platforms (e.g. More ❯

Role: Senior Data Engineer - AWS Location: Leeds/Hybrid, c. 2x per week Contract: Outside IR35, Competitive Daily Rate Duration: 6 months The Role: Joining one of the best tech consultancies in the North. The Senior Data Engineer role focuses More ❯

experience building production data pipelines Advanced Python skills (NumPy, Pandas, SQL Alchemy) and expert-level SQL across multiple database platforms Hands-on experience with modern data stack tools including dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and More ❯

are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the UK. … a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like … tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams Ability to manage multiple priorities More ❯

are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the UK. … a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like … tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams Ability to manage multiple priorities More ❯

are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the UK. … a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like … tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams Ability to manage multiple priorities More ❯

are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the UK. … a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like … tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams Ability to manage multiple priorities More ❯

are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the UK. … a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like … tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams Ability to manage multiple priorities More ❯

are now looking for a hands-on Data Engineer to join their talented delivery team. This is a fantastic opportunity to work with a modern data stack - including Snowflake , dbt , AWS , Python , and SQL - on impactful projects that power reporting, automation, predictive analytics and Artificial Intelligence. This role is fully remote, and is therefore open to candidates across the UK. … a self-starter mentality, who wants to be part of company that is growing and maturing whilst continually learning. Key responsibilities: Designing and building robust data pipelines using SQL, dbt, and Python within Snowflake Developing scalable, testable, and maintainable code Collaborating with analytics, product, and client teams to deliver high-quality data solutions Supporting the development of data products like … tooling Contributing to internal best practices and agile delivery processes Experience required: Proven experience as a Data Engineer or Analytics Engineer Strong experience with Snowflake Hands-on experience with dbt Proficiency in Python and SQL Solid understanding of Git and development lifecycle best practices Experience integrating APIs or working with event/log data streams Ability to manage multiple priorities More ❯

week in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

week in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting More ❯

. Proficiency with Docker, Linux, and bash. Ability to document code, architectures, and experiments. Preferred Qualifications Experience with databases and data warehousing (Hive, Iceberg). Data transformation skills (SQL, DBT). Experience with orchestration platforms (Airflow, Argo). Knowledge of data catalogs, metadata management, vector databases, relational/object databases. Experience with Kubernetes. Understanding of computational geometry (meshes, boundary representations More ❯

love to talk to you if: You've led technical delivery of data engineering projects in a consultancy or client-facing environment You're experienced with Python, SQL, .NET, dbt, Airflow and cloud-native data tools (AWS, GCP or Azure) You have strong knowledge of data architecture patterns - including Lakehouse and modern warehouse design (e.g. Snowflake, BigQuery, Databricks) You know More ❯

data pipelines, and ETL processes Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex More ❯

Our products are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave and Frost Radar. Our tech stack: Superset and similar data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What you will be More ❯

software development. Experience with geospatial data. Experience building data-streaming processes. Experience using PostGIS. Experience with any of the following: Apache-Hive, Trino, Presto, Starburst, OpenMetadata, Apache-SuperSet, Terraform, dbt, Tableau, Fivetran, Airflow. Experience implementing resilient, scalable, and supportable systems in AWS. Experience using a wide variety of open-source technologies and cloud services. Experience developing multi-step ETLs including More ❯

Cloud Run, Cloud Monitoring & Logging, Dataplex, Beam, Tentacles and Pub/Sub; Fluent Python, SQL skills with real life project experience; Experience on orchestration tools such as Airflow and DBT; Experience with one of major analytical DWHs is plus: BigQuery, Redshift, Snowflake, Databricks, Synapse; Work experience with following technologies are noteworthy to mention and might be seen as bonus: AWS More ❯

Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and More ❯

Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and More ❯

Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and More ❯

Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and More ❯

and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through mentorship, feedback, and knowledge sharing. Pragmatic Problem More ❯

and operating data pipelines, warehouses, and scalable data architectures. Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential. Coaching & Growth Mindset: Passion for developing others through mentorship, feedback, and knowledge sharing. Pragmatic Problem More ❯