1 to 25 of 93 dbt Jobs in London

transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ ...

Tableau), and native cloud services like AWS or GCP. What will set you apart Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform. Platform Specifics: Hands‐on experience with Databricks. Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling. Here at Kaluza we have five core ...

cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role‐based access, privacy, GDPR/PII handling ...

years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building ...

cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation, lineage, role‐based access, privacy, GDPR/PII handling ...

controls Preferred: Prior experience leading first-time platform implementations Experience migrating to Starburst Familiarity with BI, data engineering, enterprise analytics use cases (Power BI, dbt, Python, Spark) Strong communication and stakeholder management skills SKILLS AND EXPERIENCE Functional/Technical Competencies: Essential: Technical leadership and ownership Architecture and problem-solving mindset ...

Agile environment Required Experience Strong hands-on experience with Snowflake, AWS, Python and SQL Proven background in Data Engineering and Data Warehousing Experience with dbt and Airflow Building and supporting enterprise-scale data pipelines CI/CD experience, ideally using GitLab Cloud migration and modern data platform implementation experience Agile ...

platforms, migrating legacy environments into cloud-native solutions using the latest AWS and Snowflake technologies. Key skills: Snowflake, Teradata & Informatica Python & SQL AWS, Airflow & DBT GitHub & CI/CD ETL & Data Warehousing Control-M, Unix/Linux Data Modelling & Performance Optimisation You'll design and optimise scalable data pipelines, modernise ...

controls Preferred: Prior experience leading first-time platform implementations Experience migrating to Starburst Familiarity with BI, data engineering, enterprise analytics use cases (Power BI, dbt, Python, Spark) Strong communication and stakeholder management skills SKILLS AND EXPERIENCE Essential: Technical leadership and ownership Architecture and problem-solving mindset Ability to work independently ...

governance, and access controlsPreferred:Prior experience leading first-time platform implementationsExperience migrating to StarburstFamiliarity with BI, data engineering, enterprise analytics use cases (Power BI, dbt, Python, Spark)Strong communication and stakeholder management skillsSKILLS AND EXPERIENCEFunctional/Technical Competencies:Essential:Technical leadership and ownershipArchitecture and problem-solving mindsetAbility to work independently ...

resource to manage, not ignore Platform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark) AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic search, evals ...

theory and practice, in designing systems, handling sensitive data, automating data processing that will support data presentation and interpretation. Highly Advanced SQL Server, SSIS DBT or Snowflake Advanced knowledge of Python and SQL Advanced data modelling knowledge Good knowledge of Electronic Health Record systems (e.g. Cerner/Epic ...

software catalog configuration, scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context* Experience working in regulated ...

engineering environment where data is a strategic priority. Key Responsibilities: Develop, maintain and optimise data pipelines and data products within an AWS, Snowflake and DBT environment. Design and enhance data models that support analytical and operational use cases. Deliver scalable, reliable and performant cloud based data solutions. Collaborate with engineers ...

Infrastructure-as-Code tools such as Terraform Knowledge of DevOps, CI/CD, platform automation, and cloud‐native operational practices Familiarity with Apache Spark, dbt, and modern data integration technologies Delivery Experience Experience leading architecture for enterprise-wide Databricks implementations and cloud data modernization initiatives Proven success delivering scalable ...

experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication and stakeholder engagement ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud cost ...

improve data engineering processes. About You You'll have: 2–4 years' experience in Data Engineering . Strong skills in Python, SQL and DBT . Hands-on experience with AWS and/or Databricks . Knowledge of AWS services including S3, Lambda, Glue, RDS and DynamoDB . Experience with Terraform ...

online/offline evaluation, data leakage prevention, and model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/Grafana, OpenTelemetry (or equivalents) Locations and Right ...

data from Snowflake within Power BI Exposure to enterprise scheduling tools such as Control-M Experience with Azure Data Platform technologies and/or dbt What's in it for you? £600-£660 per day (Inside IR35) 6-month initial contract with potential extension Hybrid working with 3 days onsite ...

experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar ...

teams in an agile environment What you'll bring: Strong SQL + ETL/ELT experience Knowledge of Python/T-SQL Exposure to DBT Exposure to cloud platforms (Azure preferred) Nice to have: Databricks, Spark, CI/CD, big data This is a great opportunity to join a high ...

analysts, and business stakeholders. Strong understanding of data platform reliability, performance, scalability, and cost optimisation. Experience with technologies such as ClickHouse, Apache Iceberg, BigQuery, dbt, Elasticsearch, Druid, GCP, or AWS is highly desirable. If you're an experienced Senior Data Engineer looking to lead complex data platform projects ...

schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...

hands-on Snowflake architecture and design experience. Proven expertise in Data Vault 2.0 and dimensional modelling methodologies, including Star Schema design. Strong knowledge of dbt and source control practices using GitHub. Experience integrating enterprise data platforms with AWS services and broader cloud ecosystems. Strong understanding of data governance, security ...