551 to 575 of 700 dbt Jobs in the UK

Programme Manager 6 Month Contract initially + Extensions 800 - 850 per day via Umbrella London - 3 days a week onsite A leading Asset Management Firm is searching for a Programme Manager to join them on ...

move faster. You will be responsible for the end-to-end lifecycle of a data product: from identifying a business need to building the dbt models and ensuring that transformed data is accessible where it’s needed most. Key Responsibilities Ownership of the Modern Data Stack (dbt & BigQuery … lead developer for our dbt project. Build performant, modular, and well-tested models that turn data into a reliable “Source of Truth.” Apply software engineering rigor to the data stack: version control (Git), documentation, unit testing, and CI/CD. Partner with business leads across the company to identify manual ...

Flink, Apache Kafka, Spark Structured Streaming, or similar technologies Knowledge of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, and comfort with Python/Java and SQL Experience with networking and security concepts within AWS, including VPCs, subnets, routing … SaaS or FinTech company Technologies we use: AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium #J-18808-Ljbffr ...

data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise environment. Key Responsibilities Define end-to-end data architecture across ingestion, storage, transformation, and consumption layers. Design and govern … data models and data products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access ...

data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise environment. Key Responsibilities Define end-to-end data architecture across ingestion, storage, transformation, and consumption layers. Design and govern … data models and data products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access ...

share knowledge across a team. Nice to have: A PhD or equivalent research training in a quantitative field, and/or familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms. Experience modifying infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines. Experience building shared … onto them. Experience with UTXO, EVM, or other blockchain data, graph computation, and/or the cryptocurrency ecosystem. Technologies we use: Python SQL Databricks Dbt PySpark/Spark Terraform AWS Postgres AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that ...

serves analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer, and quality standards the data function depends on, with the validation and lineage to make them trustworthy downstream. Own orchestration and observability … without bespoke workarounds. Strong working relationships with the Data, ML, and Platform teams. What You’ll Bring With You Deep, hands-on Snowflake and dbt experience: modelling, semantic layers, agents & skills, testing, performance and cost tuning. Production experience with a pipeline orchestrator, ideally Dagster (or similar Airflow, Prefect), including dependent ...

skillsets. Here’s a flavour of your day-to-day: Support the operation and reliability of Primark’s modern data platform helping manage Databricks, dbt Cloud and Azure data services while ensuring data products are production-ready, supportable and aligned with engineering standards. Monitor and maintain critical data pipelines … systems and data platforms in a fast-paced environment. Strong understanding of modern data platforms and DataOps practices with exposure to Azure DevOps, Databricks, dbt Cloud, Azure data services, SQL, Python, ETL/ELT processes, job scheduling, monitoring, observability and deployment automation. Experience supporting production environments and service operations including ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Are you the right applicant for this opportunity Find out by reading through the role overview below. Through rich, specialized data ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Are you the right applicant for this opportunity Find out by reading through the role overview below. Through rich, specialized data ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue ...

About Codat Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue ...

these countries. Office access available in London, Dublin, and Lisbon. Here's how you'll make a difference: Own the transformation layer in dbt- design, build, and maintain modular, well-tested data models that define how data is structured and consumed across the company. Define and implement core business metrics … reducing ambiguity across teams. What you bring: 5+ years in analytics engineering or data engineering with a strong focus on data modelingStrong proficiency in dbt and SQL- building modular, well-tested modelsSolid understanding of dimensional modeling and metric designExperience working with cloud data warehouses (BigQuery, Snowflake, or Redshift)Experience with ...

ensure efficient & automated sales handoffs. Data Pipelines & Tracking Infrastructure Inbound & Paid Media Pipelines: Build and manage SQL-based data pipelines (BigQuery/Snowflake/dbt) and automated extracts connecting our MarTech - GA4, SEO/GEO data, and paid media platforms (LinkedIn, Google Ads, Meta) to the central data warehouse. System … JSON, REST/SOAP APIs, and webhooks for system integrations and custom development. Data Engineering & Analytics: Hands-on experience with BigQuery, Snowflake, or dbt to extract and transform data across Marketo, GA4, GTM, and paid media platforms (Google, LinkedIn, Meta). Applied AI Integration: Proven ability to interface with ...

schemas, translating business logic into structured, intuitive data models Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams Implement tests and data quality checks to ensure reliable and trustworthy datasets … negotiable Hands‐on experience with relational databases, particularly Postgres Experience designing schemas and building data models that reflect real‐world business logic Familiarity with DBT or similar data transformation frameworks Strong understanding of data validation, testing, and quality assurance practices Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) — treats ...

need support. What will you be working on? Data Engineering Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management. Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across security domains … efficiency throughout the organisation. QualificationsTechnical Expectations: Proficient in Python, with experience in automation and building data pipelines. Strong expertise in working with tools like DBT and Airflow for ETL processes. Skilled in using REST APIs to develop and manage data integrations. Proficient in SQL and familiar with data visualization tools ...

analytical schemas, translating business logic into structured, intuitive data modelsMigrate and transform data from Postgres into ClickHouse, ensuring performance and reliabilityDevelop and maintain DBT models that reflect our business domain and make data easily accessible for teamsImplement tests and data quality checks to ensure reliable, trustworthy datasetsIdentify and eliminate duplicates … negotiableHands-on experience with relational databases, particularly PostgresExperience designing schemas and building data models that reflect real-world business logicFamiliarity with DBT or similar data transformation frameworksStrong understanding of data validation, testing and quality assurance practicesManages all infrastructure through IaC tooling (Pulumi, AWS CDK), treating the database as codeGrasps ...

implementation to the operationalisation. How You'll Make An ImpactDesign and implement high-performance, reusable, and scalable data models for our data warehouse using dbt and SnowflakeDesign and implement Looker structures (explores, views, etc) which will enable users across the organization to self-serve analyticsWork closely with data analysts … software development lifecycle in analytics (e.g. version control, testing, and CI/CD)Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar)Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft AzurePassionate about sales, finance, customer, marketing and/or product ...

elevate our current data pipelines and streaming architectures. Establish best practices for monitoring, reliability, and scale across our data ecosystem (using Python, dbt, Airflow, Kafka, and Trino/Iceberg). Build the Unified Customer View: Productionize PoCs into scalable Airflow/dbt data workflows to lay the groundwork … Partner with analytics leads to define clear boundaries and standards for data ingestion, cleansing, and transformation—bringing a strong analytics engineering mindset (specifically via dbt) to raw data landing. Own MarTech Infrastructure: Work alongside Engineering Leads to bring technology ownership of MarTech systems (e.g., Braze, HighTouch reverse ETL) in-house ...

someone to make sure the data is accurate and can be trusted before the business uses it. You’ll own our warehouse, our dbt project and semantic layer, and our Lightdash dashboards, all built as code rather than clicked together in a UI. You’ll decide what “right” means … Where you will spend your time: Setting the direction of the platform with the Data Lead: what we build next, and why Owning our dbt project, the warehouse and the semantic layer that powers Lightdash and our AI tools: one consistent set of models the whole business reads from, with ...