1 to 25 of 103 Permanent dbt Jobs in the North of England

using machine learning and artificial intelligence. This approach encompasses a multitude of vendors (Microsoft, AWS, ESRI, Snowflake, IBM and Apache Software Foundation) and services (Azure, Microsoft Fabric, Apache Airflow, dbt Cloud, watsonx, Kafka, Kubernetes (EKS and AKS), Red Hat Open Shift, plus others.) thus ensuring we can leverage data-driven insights based on rich industry-specific data sets. The Senior … of core object-oriented concepts with good knowledge of Java, Web services, JavaScript, Json, XML, JDBC, and other related technologies. Experience in data and orchestration tools including some of dbt, Apache Airflow, Azure Data Factory. Experience with unit testing in a variety of languages and tools. Perhaps experience of Junit, NUnit, XUnit and Jest, along with experience of associated tools 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 ❯

About The Role Hippo is recruiting for a Principal Data Engineer to join our Hippo Herd. Principal Data Engineers work in multi-disciplinary teams that build, support & maintain User-Centred digital solutions that offer real value and work for everyone. 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 ❯

tech environment. Proficient in SQL and Python (or similar languages). Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with modern data tools and frameworks (e.g., dbt, Airflow, Kafka, Spark). A collaborative mindset and a passion for solving complex data challenges. What’s in It for You: Salary between £45,000 – £55,000 , depending on experience. More ❯

role where you'll be at the heart of data-driven decisions. Day to day you will be transforming raw data in clean, reliable and performant data models using dbt within Google Cloud Platform (GCP). Your primary goal is to empower our clients' business users by making data accessible, understandable and ready for reporting, dashboarding and ad-hoc analysis. … and business intelligence. Experience in the mobile/telecoms industry would be a bonus! Key outputs for the role • Design, build, and maintain scalable and trustworthy data models in dbt, making use of Kimball Dimensional and One Big Table (OBT) methodologies. • Translate business requirements from stakeholders into robust, well-documented and tested dbt models. • Develop and own workflows within Google … quality, optimised SQL for data transformation and analysis. • Develop and maintain scalable data pipelines within the Google Cloud Platform, ensuring efficient and cost-effective data transformations. • Take ownership of dbt project health, monitoring daily runs and proactively resolving any data, model, or scheduling issues in collaboration with other project owners. • Use version control (Git) and CI/CD to manage More ❯

infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and … Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service provider. Our colleagues bring More ❯

infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and … Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service provider. Our colleagues bring More ❯

infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and … Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service provider. Our colleagues bring 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 ❯

of experience as a data engineer with experience of GCP and good Cloud understanding Passion for software and data engineering, adopting the mindset of a curious engineer Experience of dbt, SQL, Python, Java, SAS or other open-source technologies used for analytics Ability to understand business requirements and create business ready solutions Show well-developed interpersonal, communication and influencing skills 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 ❯

demonstrate passion for data to inspire your team. Requirements: Experience in developing data pipelines from various sources, including databases, flat files, APIs, and event-driven data feeds; experience with dbt is preferred. Experience with data warehouse design and modelling, including conceptual, logical, physical, and dimensional modelling techniques. Knowledge of cloud data warehouse technologies such as Snowflake (preferred), Google BigQuery, AWS More ❯

and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. Our data platform's support regulatory requirements, business intelligence & reporting needs and numerous system integrations. This role requires strong technical proficiency and a deep understanding … You will be critical in the development and support of the new Evelyn Data Platform, which is being engineered on Snowflake, utilising Azure Data Factory pipelines for data integration, dbt for data modelling, Azure BLOB Storage for data storage, and GitHub for version control and collaboration. As a Data Engineer, Your Responsibilities Will Include Design, develop, and implement data warehouse … understanding of data warehousing concepts and principles Snowflake/Cloud Engineering experience is required: Proven experience working as a Data Engineer, preferably with expertise in Snowflake, ADF, Azure Storage, dbt and GitHub. Non-Technical Business Analysis skills to derive requirements from business stakeholders. Understanding of the principles of information security and data protection. Ability to communicate with non-technical colleagues More ❯

techniques You have coding skills with Python (or C#) and SQL You have experience with SQL databases (e.g. Amazon Redshift, PostgreSQL) You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis) You have strong analysis and problem solving skills You're collaborative with excellent communication skills What's in it for you: Competitive salary to £55k depending on experience More ❯

Social network you want to login/join with: As our new Senior Data and Analytics Engineer , you'll work as part of a multi-disciplinary, agile, data delivery team focused on the delivery of innovative, robust, and efficient data More ❯

A successful Data Engineer will have the following skills and experience: Ability and experience interacting with key stakeholders Strong experience in SQL/Python Good understanding of Airflow/DBT Experience with GCP/AWS Background in CI/CD THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £60,000. On top of the More ❯

a start-up data consultancy looking to expand their data engineering practice to facilitate the service of their growing client base. This role will require proficiency in Snowflake, Python, DBT, AWS, and SQL. Consultancy experience would be a huge plus. Salary and Benefits Competitive salary of £55k - £65k (DOE) Fully remote working 25 days annual leave And many more! Role … and Responsibilities Design and deliver data pipelines using SQL, dbt, and Python within Snowflake to transform and model data for a variety of use cases. Build robust, testable, and maintainable code that integrates data from diverse sources and formats. Work closely with analytics, product, and client teams to turn data requirements into scalable solutions. Support the development of data products … client delivery playbooks. Participate in sprint planning, reviews, and retrospectives with a lean agile delivery mindset. What do I need to apply Strong experience with Snowflake Experience with Python, DBT, AWS, SQL. Strong stakeholder engagement. Experience with integrating API's Data science background or some exposure. My client have limited interview slots and they are looking to fill this vacancy More ❯

Experience working with Cloud technologies, preferably GCP Experience of building full ETL/ELT pipelines Building data pipelines for streaming, batch and event driven solutions Strong understanding of Python, DBT and SQL for data transformation Leading others within a data environment, using data-driven approach with strong data literacy and analysis Experience mentoring and coaching engineers to build a high More ❯

Experience working with Cloud technologies, preferably GCP Experience of building full ETL/ELT pipelines Building data pipelines for streaming, batch and event driven solutions Strong understanding of Python, DBT and SQL for data transformation Leading others within a data environment, using data-driven approach with strong data literacy and analysis Experience mentoring and coaching engineers to build a high More ❯

with a strong focus on aligning data capabilities to business transformation goals. Deep knowledge of data architecture, modelling, integration, and governance, with hands-on experience in tools like Snowflake, DBT, SQL Server, and programming languages such as Python, Java, or Scala. Proficient in big data tools (e.g., Spark, Kafka), cloud platforms (AWS, Azure, GCP), and embedding AI/GenAI into More ❯

with a strong focus on aligning data capabilities to business transformation goals. Deep knowledge of data architecture, modelling, integration, and governance, with hands-on experience in tools like Snowflake, DBT, SQL Server, and programming languages such as Python, Java, or Scala. Proficient in big data tools (e.g., Spark, Kafka), cloud platforms (AWS, Azure, GCP), and embedding AI/GenAI into More ❯