401 to 425 of 507 dbt Jobs

team. What you’ll do Develop high quality data models that transform raw data into clean, analytics-ready datasets using tools like SQL, python, dbt, BigQuery and Prefect. Work closely with the Data Product Owner and our product stakeholders to understand data requirements and translate business and analytical needs into … BigQuery. Familiarity with the Software Development lifecycle, data quality frameworks, system observability, and experience with source control tools like GitHub. Hands on experience with dbt or similar transformation tools. Strong data modelling principles, including star schema, and best practices for building scalable data assets that can be used ...

creation of a new star schema and other best practices to optimise data usability. Sets best practices and standards on how we use SQL & dbt/Python/Pyspark and/or other languages to solve business problems. Becomes an expert in the business subject area the team are working … think smart every day. Extensive experience in SQL/Python/Pyspark and/or other languages relevant to data processing Extensive experience in dbt and ideally Airflow (or other orchestration tools) Extensive experience in Entity-Relationship modelling and Dimensional modelling Experience with Cloud Data Warehousing (eg Snowflake, Databricks ...

products as well as delivering ad-hoc insight that tells the story behind the numbers. You'll work with a modern analytics stack (Snowflake, dbt, Power BI) from our HQ in Shoreham-by-Sea, with the flexibility to work from home two days a week (Wednesday and Friday). What … analytics and visualisation tools (Power BI preferred) Nice to have Experience with star schema and multi-dimensional data modelling Proficiency in Python Experience with dbt and/or Snowflake Let's connect. Let's grow. #J-18808-Ljbffr ...

businesses. You'll own cross-team data projects, build dashboards, and shape pricing discussions with robust analytics. A strong SQL background and experience with DBT/Airflow are essential for this role in London. #J-18808-Ljbffr ...

Data Scientists to migrate and validate PySpark-based use cases during the September–December window. Ideal candidates will bring Snowflake expertise, PySpark experience, and DBT knowledge. #J-18808-Ljbffr ...

Senior/Lead Analytics Engineer to raise the modelling maturity across domains. You will own and deliver complex modelling challenges, shape best practices for dbt and governance, and mentor teams while partnering with product and domain owners to ensure scalable data products. You will drive the data mesh alignment, optimise ...

Data Engineer - Snowflake, DBT £600-700/day overall assignment rate to umbrella 3-6 month initial contract Cardiff-based - ideally once a week on-site Working with an Insurtech client based in Cardiff who are looking for 3x Data Engineer contractors to join their Data & Analytics capability and support ...

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 ...

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 for our Customer … 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 ...

towards more timely and incremental data processing. On a typical day you will be... Designing, building, and maintaining robust data models using SQL and DBT, transforming complex source data into clear, reusable datasets for analytics and downstream consumers Working with Product managers, Engineers, Operations, and client-facing teams to understand … skills and are comfortable transforming large, complex datasets into reliable, reusable analytical models Have experience with Python and modern analytics engineering tooling such as DBT, including testing, documentation, version control, and CI/CD practices Are familiar with both relational and non-relational database architecture Understand dimensional modelling ...

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 ...

tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position. Previous professional experience: Data transformations using dbt, including patterns for large, complex projectsData storage (SQL/NoSQL): schema design, modelling at scale, and multi-tenant isolationBack-end engineering: Python (nice to have … grow, and you'll be shaping those changes. The ability to learn new tools matters more than experience with any specific one. DBT for data modelling and transformationBigQuery data warehouseKafka for data streaming between systemsPostgreSQL & MongoDB for databasesTypescript/Node. JS on the backendKubernetesPythonSegment for customer-centric event collectionBeamery ...

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 ...

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 … throughout the organisation. Qualifications Technical 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 ...

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 ...

analytics-driven solutionsUnderstanding of RAG architectures, vector databases and advanced conversational AI patternsFamiliarity with tools for documentation and developer productivity such as dbt (data build tool) and MKDocsPrevious experience in energy, financial or utilities domainsWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical ...

will partner with Product to define hypotheses and build predictive models that quantify adoption maturity, churn risk, and revenue impact, using tools like dbt, Airflow, and modern analytics platforms. Hybrid working in the UK is common. #J-18808-Ljbffr ...

fast without cutting corners. Key Responsibilities Lead engineering delivery of Atlas: event streaming infrastructure, schema and taxonomy standards, and the Snowflake data warehouse and dbt transformation pipelines that sit at its core Design and build production identity resolution pipelines, working closely with the Data Scientist to translate matching logic … equivalent professional experience 3+ years' experience as a Data Engineer, with strong, demonstrable proficiency in Python for building and maintaining data pipelines Experience with dbt or equivalent transformation frameworks, and with ETL/ELT tools such as Fivetran or Airbyte Experience designing and operating production data pipelines, including CI/ ...

layer that turns raw data into a source of truth our teams rely on every day.**But the best models don't start in dbt - they start with a conversation.** The part of this role that matters most is your ability to sit with the business, understand how guests, bookings … care about most.From there, you'll spend your time designing and evolving Kimball-style models, building elegant transformations in dbt, and shaping the way our business understands its guests and operations. Working within a supportive squad, you'll set the standard for modelling quality through your own work, share what ...

Support internal and external audit requests with well-documented, reproducible analysis. Modern Analytics & Automation Build and maintain data transformations and models using SQL and dbt, following version-controlled, tested and documented practices. Automate recurring reports, reconciliations and alerts to reduce manual effort and strengthen controls. Use AI-enabled tools (e.g. … documentation, within agreed data-handling and compliance guardrails. Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant. Ways of Working & Continuous Improvement Default to automating and simplifying: question manual, spreadsheet-driven ...