101 to 125 of 174 dbt Jobs in England

Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong ...

maintaining ETL/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data … . Strong command of the AWS data stack: S3, Glue, EMR, Lambda, Aurora, and orchestration tools such as Airflow. Proficiency in Python, SQL, and DBT; familiarity with IaC tooling such as Terraform. Comfortable operating across customer‐facing technical discussions and internal engineering leadership. Experience managing distributed or remote teams across ...

delivery of data and analytics programmes, ensuring alignment with business goals, timelines, and quality standards. Planning, tracking, and managing complex technical dependencies across Snowflake, dbt, Airflow, and GitHub‐based development workflows. Collaborating closely with data engineering and analytics teams to support Snowflake architecture, performance optimisation, and cost management. Overseeing dbt … skills/knowledge/experience: Proven experience in a Technical Program Manager, Technical Project Manager, or similar role. Strong hands‐on understanding of Snowflake, dbt, GitHub, and Airflow in a production environment. Demonstrable experience delivering data engineering or analytics platform programmes. Solid understanding of modern data stacks, ETL pipelines ...

Query Power Pivot Complex formulas and modelling techniques Preferred Skills: Experience working with Databricks in a modern data platform environment. Knowledge of dbt (Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft Azure. Experience working with data engineering or ETL pipelines. Exposure ...

Funding Circle seeks an Analytics Engineer/Data Quality Engineer to join our London-based data team. This hybrid role involves building robust dbt data models, enforcing data quality rules, and shaping data foundations for high-growth areas. You'll collaborate with analysts and data scientists to improve accuracy, implement ...

Design and Implement Data Solutions**:o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical ...

Iwoca is looking for an Analytics Engineer to help transition their analytics warehouse to Snowflake. You will work with a range of tools like dbt and will need experience in building reliable ETL/ELT processes. The role involves collaborating with analysts and data scientists to improve data processes, enabling ...

running orchestration. Infra: AWS, Terraform, strong observability via Sentry and Datadog (full‐stack, not just logs). Data: we lean heavily on Snowflake, Omni, dbt, Fivetran, Amplitude and Segment — and we’ve even built some of our own tooling to understand how well we’re helping our members. ...

running orchestration. Infra: AWS, Terraform, strong observability via Sentry and Datadog (full-stack, not just logs). Data: we lean heavily on Snowflake, Omni, dbt, Fivetran, Amplitude and Segment – and we’ve even built some of our own tooling to understand how well we’re helping members. AI: we work ...

modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect. Bonus: Familiarity with dbt or modern data transformation tooling. Experience with BI tools such as Sigma or Looker. Location This role is remote and can be executed globally. ...

experimentation, including A/B testing, hypothesis design, and statistical analysis Advanced SQL skills with experience working across the full analytics lifecycle Experience with dbt and modern BI tools such as Looker, Lightdash, or similar Strong understanding of product metrics, customer behaviour, engagement, and retention analysis Excellent stakeholder management skills ...

fast, predictable way. Our Technology Stack We believe in using the right tool for the job. Our current stack includes: Data Platform: Databricks, DBT, Fivetran Languages: Python, SQL Databases: SQL Server (legacy, being modernised), plus lakehouse storage on S3 Cloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure … working. Experience with a modern lakehouse or warehouse platform (Databricks ideally, or Snowflake/BigQuery), and with data ingestion and transformation tools (Fivetran/DBT). Familiarity with Kafka or similar streaming systems, and an interest in building the abstractions that make event‐driven data flows easy for other teams ...

dimensions, ETL/ELT framework design. Production ETL development SSIS for understanding/decommissioning legacy work, plus modern alternatives (custom T-SQL frameworks, ADF, dbt, or equivalent) for new build. Operational SQL Server experience as the senior responsible person backups, restore, security, monitoring, performance triage, replication. Multi-instance estate experience … successful candidate to have a view on which tools add value where, and to bring that view to the role. Desirable Skills: Experience with dbt or comparable analytics-engineering frameworks. Experience working with legacy SSRS estates and migrating reporting workloads to Power BI. Experience with on-prem SQL Server ...

solutions, including model deployment, monitoring, evaluation, and lifecycle management Strong hands‐on understanding of modern data and AI tooling, ideally including SQL, Python, Snowflake, dbt, Airflow, Metabase, Tableau, and AWS‐based data services Experience with data ingestion, streaming, and change data capture tooling, such as Fivetran, Estuary, or similar platforms … Metabase and Tableau, with an understanding of how to drive adoption across business teams Experience with SQL transformation and analytics engineering workflows using dbt, including governance, standards, and enablement for analytics engineers Ability to oversee API‐based and batch data extraction processes, particularly those built in Python and orchestrated using ...

cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience ...

Platform ResponsibilitiesDesign and Implement Data Solutions:Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).Apply architectural patterns for data lakes, streaming, and batch processing.Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.Technical POCsTechnical assessment ...

scale a global organization through resourcing/location strategy. Experience and Qualifications Proven track record delivering solutions in complex organizations. Experience with AWS, Databricks, DBT, PySpark, React, JavaScript, Terraform, etc. Fast learner, thrives in ambiguity, translates vision into product scope. Passion for automation and user experience innovation. Builds high‐performing ...

strongly preferred Mastery of Python, SQL, and Spark – and strong opinions on how they should be used in production data pipelines Deep experience with dbt, Airflow, or equivalent orchestration – including how to build pipelines that are testable, observable, and operationally sound Strong understanding of data quality engineering – not just validation … leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Great Expectations, dbt tests, reconciliation frameworks, data observability tooling IaC/DevOps Terraform ...

strongly preferred Mastery of Python, SQL, and Spark – and strong opinions on how they should be used in production data pipelines Deep experience with dbt, Airflow, or equivalent orchestration – including how to build pipelines that are testable, observable, and operationally sound Strong understanding of data quality engineering – not just validation … leadership responsibility Primary cloud AWS – Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming Languages Python, SQL, Spark dbt, Airflow/AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Great Expectations, dbt tests, reconciliation frameworks, data observability tooling IaC/DevOps Terraform ...

team Hands‐on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands‐on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross‐functional stakeholders, with strong … data engineering solutions that power Moody’s next‐generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moody’s technical teams and business partners ...

ensure data quality, security, and consistency. The responsibilities Develop, construct, test and maintain ETL/ELT infrastructure. Implement robust data testing frameworks in dbt to monitor and ensure data quality and integrity. Enable product teams to self-serve data more effectively, empowering them to make faster, more informed decisions. Influence … best practices. The requirements Essential: Experience in implementing reliable and performant ETL/ELT pipelines. Experience with version control systems (e.g., Git) for dbt project management. Knowledge of CI/CD pipelines for analytics workflows. Experience with programming languages such as Python. Familiarity with data governance practices and frameworks. Professional ...

building and maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible … data platforms, ideally within AWS. Data modelling, transformation and orchestration methodologies. Delivering high-quality, well-documented and thoroughly tested data solutions. Experience with Snowflake, DBT and Apache Airflow. Interest in AI and emerging technologies within the data engineering landscape. THE BENEFITS: You will receive a salary ...

expert level) Cortex AI (Snowflake Cortex AI) Star Schema Data Modelling Market Data integration and management Time-Series Data engineering and modelling Dbt (Data Build Tool) Claude Code Data warehousing and ETL/ELT development SQL and performance optimisation Cloud-based data engineering experience Highly Desirable Experience Wealth Management ...

supporting large Data transformation projects. They’ve worked with the likes of Skyscanner and The World Health Organisation and are partnered with Snowflake and dbt Responsibilities In this role you will be supporting a large Greenfield Snowflake implementation, leading the end-to-end delivery of the project. Qualifications 5+ years ...

team focuses on business outcomes, not just technical outputs. Skills/Experience: Experience leading modern data engineering teams. Strong technical knowledge of Snowflake, dbt and cloud data platforms. Proven track record of delivering data solutions that create measurable business value, with a focus on outcomes rather than technical activity. Experience ...