1 to 25 of 32 Permanent dbt Jobs in the South East

problems beyond standard GUI tooling. Proven ability to introduce and sustain Agile delivery practices, backlog management, and effort estimation within technical teams. Experience with dbt/analytics engineering, data function rebuilds, or working within healthcare/regulated data environments is highly desirable. Excellent communication skills, with the ability to clearly ...

mentoring experience Technologies & Experience Desired: Git and JIRA software and backlog management tools Power BI, Tableau, Qlik or Looker Matillion, Talend, Pentaho, SSIS Databricks, DBT, Fivetran Snowflake, Microsoft SQL Server, Oracle DB or Redshift Building CI/CD pipelines and IaC Analytical skills including the ability to apply a range ...

issues. Understanding of platform security, resilience, scalability and availability. Experience working within Agile and/or DevOps delivery environments . Desirable: Helm, ArgoCD, Airflow, dbt, Bash, Ansible, Packer, Elasticsearch/OpenSearch, Prometheus, Grafana, ELK or Datadog. Experience working within public sector, utilities or other regulated environments is advantageous. Data Platform ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer Reward ...

data structures to ensure dashboards are reliable and performant. This will primarily involve Snowflake SQL, alongside a working knowledge of Python and experience with dbt workflows. Use Git and GitHub to manage version control across analytics code and data transformation projects, following collaborative development practices such as branching, pull requests ...

advanced SQL. Cloud Data Platforms & Architecture: Proven experience working with Azure-based data technologies and designing scalablelakehousearchitectures, data models and modern cloud data solutions. dbt& Engineering Best Practices: Experience withdbtCloud ordbtCore, including model development, testing, documentation, lineage, deployment workflows, CI/CD and version control practices. Data Quality, Performance &Optimisation ...

large‐scale data platforms and production‐grade pipelines. Strong Python and SQL skills, with hands‐on experience in Spark, PySpark or Scala. Experience with dbt for data modelling and transformation. Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory. ...

databases, API endpoints It would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance ...

comfortable working autonomously and taking ownership from a loose brief NICE TO HAVE A background in telematics, transport, automotive, energy or heavy industry dbt for in‐warehouse transformation and testing CI/CD for data pipelines and infrastructure as code (e.g. Terraform) Experience working with research institutions or academic partners ...

exploring how Agentic AI is transforming data engineering. What we're looking for: 2–4 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda ...

enhance GCP-based infrastructure, primarily using BigQuery for data modelling and transformation. Manage and optimise ETL processes using tools such as Fivetran, alongside dbt or Dataform. Support the dashboards layer by ensuring data accuracy, performance and scalability, making targeted updates where required. Work through a ticketing system, collaborating closely with ...

data governance and platform security, and the ability to lead technically and mentor others within a growing engineering function Hands-on experience with dbt or comparable modern transformation frameworks, plus Python applied to data integration, automation, or pipeline work, alongside experience managing production pipelines and CI/CD processes ...

experience across data engineering, analytics and business intelligence. Experience working with cloud‐based data warehouses and modern data‐stack technologies such as Snowflake, dbt and Fivetran. Knowledge of DataOps principles, data modelling, governance and best‐practice development standards. Experience delivering advanced analytics, forecasting, customer segmentation or predictive modelling initiatives. Strong ...

Evelyn Data Platform, supporting BI reporting and regulatory data needs in a collaborative, agile team. The role requires strong SQL, Python/C#, and dbt skills, plus experience with cloud data storage, orchestration, and version control. #J-18808-Ljbffr ...

role, you should: Snowflake/Cloud Engineering experience is required: Proven experience working as a Data Engineer, with expertise in Snowflake, ADF, Azure Storage, dbt and GitHub. Extensive experience in designing, building, deploying, and supporting cloud-based data products and pipelines. Experience with Azure Storage services such as Blob Storage … design Ability to write efficient and optimized SQL queries for data retrieval and manipulation Experience of data warehouse design and implementation using Snowflake and dbt modelling SnowPro and Microsoft Cloud certifications - SnowPro Core, SnowPro Advanced: Data Engineer, Azure Data Fundamentals and Azure Data Engineer Associate Experience with Snowflake Cortex ...

sectors. Hands‐on experience with Agile methodologies in multidisciplinary product teams. Experience applying software engineering best practices (e.g., modern tech stack usage like Snowflake, DBT, GitLab). Experience working with Cloud technologies (specifically Google Cloud Platform) Previous people management experience. The partnership We’re the largest employee owned business ...

Iceberg or similar table formats, as well as batch and streaming processing Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus ...

skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments Understanding of digital advertising platforms, attribution challenges, privacy changes, and value-based bidding approaches Strong communication skills with the ability ...

isolated between customers. This is a hands-on role: you will set the standard through working code and documented patterns, using SQL, Python, and dbt in your daily work. This role also plays a central part in the internal AI Enablement Centre of Excellence, ensuring high-quality datasets flow into … long-term roadmap for data and AI capabilities across Quantios products and internal teams. Hands-On Delivery & Technical Leadership Use SQL, Python, and dbt hands-on: build reference implementations, review and write pull requests, and unblock Data Engineers directly. Set the standard through working code and documented patterns (architecture decision ...

customer lifetime value (LTV) modelling Strong understanding of marketing performance, attribution and channel effectiveness Advanced SQL and Python skills Experience working with Snowflake and dbt Strong statistical and causal inference knowledge Ability to communicate complex analytical findings to non-technical stakeholders Experience partnering closely with performance marketing teams What They ...

AWS. Key Requirements: Database & Transformation: Deep expertise as an architect using Snowflake as the primary data platform, paired with strong hands-on experience in dbt for data transformation. Data Modeling: Proven ability to design conceptual, logical, and physical data models using industry-standard tools like Erwin or TOAD. AWS Data ...

processes, and work closely with clients and internal stakeholders to translate business questions into technical requirements. This hands-on role focuses on Snowflake SQL, dbt, Python and Sigma dashboard development, with mentoring of junior colleagues and exploration of AI/ML-enabled approaches in production. #J-18808-Ljbffr ...

data to solve business and product challenges within a digital or technology-led environment. Proficiency with SQL and analytical tools such as Python, R, dbt, or similar technologies. Experience working with BI and visualisation platforms such as Looker, Tableau, Lightdash, or equivalent tools. Ability to translate business questions into analytical ...

Synapse-centric estate toward a Microsoft Fabric and OneLake-based architecture, embracing modern engineering patterns such as serverless storage, medallion design, Spark-based transformations, DBT-driven analytics engineering, and fully automated CI/CD. This role can be based in either Glasgow or London as both offices have large data … Server Azure Data Factory Azure DevOps Practical delivery experience using medallion architectures (Bronze/Silver/Gold). Strong SQL skills and experience with DBT For more information, and the chance to bee considered, please do send through a CV through to To find out more about Huxley, please visit ...

activities. You will combine advanced SQL and BI expertise with hands‐on experience building, testing and maintaining transformation workflows and reusable data models in dbt, supported by a practical understanding of modern cloud data platforms and Python. You will be confident using Git and GitHub for version control, including working … data structures to ensure dashboards are reliable and performant. This will primarily involve Snowflake SQL, alongside a working knowledge of Python and experience with dbt workflows. Use Git and GitHub to manage version control across analytics code and data transformation projects, following collaborative development practices such as branching, pull requests ...