26 to 50 of 168 dbt Jobs

Tech Lead, Data Engineering Manager 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 Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. More ❯

Tech Lead, Data Engineering Manager 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 Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. More ❯

can make data-informed decisions KNOWLEDGE, SKILLS & BEHAVIOURS Technical Skills Strong expertise in SQL, APIs, Power BI, DAX, Power Query, Power Automate. Proficiency in data engineering tools (e.g., Python, dbt, SSIS, Azure Data Factory, or similar ETL/ELT tools). Hands-on experience with data modelling and star-schema design for BI environments. Familiarity with cloud data platforms (Azure More ❯

experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

using Git. Proven background in data modelling and architecture design. Nice to have: Experience with Azure services (e.g., App registration, Storage Accounts). Familiarity with Terraform (especially Snowflake provider), DBT, Power Automate, and CI/CD pipelines (Azure DevOps or others). Experience working on greenfield builds. Asset management experience. More ❯

hands-on technically/40% hands-off leadership and strategy Proven experience designing scalable data architectures and pipelines Strong Python, SQL, and experience with tools such as Airflow, dbt, and Spark Cloud expertise (AWS preferred), with Docker/Terraform A track record of delivering in fast-paced, scale-up environments Nice to have: Experience with streaming pipelines, MLOps, or modern More ❯

Strong technical background (5+ years) in building scalable data platforms Excellent communication and stakeholder management skills Hands-on experience with modern data tools and technologies — Python, SQL, Snowflake, Airflow, dbt, Spark, AWS, Terraform A collaborative mindset and a passion for mentoring and developing others Comfortable balancing technical decisions with business needs Nice to have: experience with Data Mesh, real-time More ❯

solutions. You'll work closely with senior engineers and stakeholders, supporting data pipeline development and helping improve data accessibility. Key Responsibilities Assist in building and maintaining data pipelines using dbt and Snowflake, ensuring they are scalable and efficient. Collaborate with analytics engineers and stakeholders across Product, Marketing, and Analytics teams to support data needs. Contribute to BI tool adoption and 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 ❯

enterprise b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

enterprise b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

. Strong communication and stakeholder management skills. Preferred: Cloud certifications (AWS, etc.). Experience with API data modeling, CI/CD (GitHub Actions). Familiarity with tools like Airflow, DBT, and Atlan. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/DA Postcode: SW1 4DF #dari More ❯

less structured environments and propose scalable solutions Experience mentoring or managing juniors (or ready to step into that responsibility) Background in commodities, trading, finance, or shipping highly desirable Bonus: DBT experience, data governance knowledge, and exposure to analytics/data science workflows This is a hands-on role in a collaborative, face-to-face culture - perfect for someone who thrives More ❯

Tech Lead, Data Engineering Manager 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 Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. More ❯

platforms (e.g. Databricks, Azure, AWS or GCP native stacks)Experience with platform observability and CI/CD for data platformsHands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or AirflowHistory of supporting pre-sales activities in a product or consultancy-based businessWhat Kubrick offers:We are a fast moving and fast growth business which is doing More ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

with architects, analysts, and business stakeholders to unlock insights and enable innovation. What You'll Be Doing: Design and build robust, automated data pipelines using Azure Data Factory, Synapse, dbt, and Databricks. Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI More ❯

support. Required Skills and Qualifications: 4+ years of experience in troubleshooting and supporting B2B enterprise applications. Advanced knowledge and hands-on experience with Spark. Experience building, maintaining, and debugging DBT pipelines. Strong proficiency in developing, monitoring, and debugging ETL jobs. Deep understanding of SQL and experience with Databricks, Snowflake, BigQuery, Azure, Hadoop, or CDP environments. Hands-on technical support experience More ❯

Strong experience with Snowflake data warehousing Proficiency in Azure Data Services (e.g., Data Factory, Synapse, Blob Storage) Solid understanding of ETL/ELT pipelines Experience with SQL, Python, or dbt is a plus Ability to work independently and communicate effectively in a remote setting Benefits: Salary up to £70,000 Fully remote working Opportunity to work on cutting-edge data More ❯

Strong experience with Snowflake data warehousing Proficiency in Azure Data Services (e.g., Data Factory, Synapse, Blob Storage) Solid understanding of ETL/ELT pipelines Experience with SQL, Python, or dbt is a plus Ability to work independently and communicate effectively in a remote setting Benefits: Salary up to £70,000 Fully remote working Opportunity to work on cutting-edge data More ❯