326 to 350 of 420 dbt Jobs in London

technical leader for analytics engineering, promoting best practices in data modelling, testing, documentation, and governance. Design and implement scalable, reusable data models using dbt and Snowflake. Lead architectural decisions, balancing performance, cost, scalability, and usability. Contribute to the evolution of analytics engineering standards, tooling, and data platform capabilities. Make … within the data ecosystem. Experience with DataDog, Dagster, Fivetran, or Tableau would be beneficial but is not essential. Our Tech Environment: Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau. Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway. Collaboration Tools: GitHub, Jira, Confluence. Analytics Tools ...

LondonData Engineering & Services – Data Engineering & Services/Employee - Permanent/HybridOur StoryHello there. We’re Zopa.We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 ...

build trusted data products powering decisions for a scale-up with a trans-continental expansion. The role emphasizes building the golden layer with dbt, Python, and BigQuery, while ensuring observability, reliability, and cost controls. You will mentor growing teams and collaborate across Product, Engineering and Brand. #J-18808-Ljbffr ...

with the judgement to apply the right pattern for the right use case.Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks.AWS Integration: Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity.AI Readiness: Practical experience ...

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 ...

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 ...

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, building ...

pipelines while helping evolve the overall architecture. Key responsibilities include: Designing and building scalable data pipelines using Python and SQL Developing solutions with Snowflake, dbt and modern orchestration tools such as Dagster or Airflow Building and improving cloud-native data infrastructure on AWS (or transferable GCP experience) Developing scalable data … have built modern data platforms in fast-moving technology businesses. You'll ideally have: Strong Python and SQL experience Experience with Snowflake Experience using dbt Experience with Dagster, Airflow or another modern orchestration framework AWS experience (GCP also considered) Strong understanding of data modelling principles Experience building ...

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 Architect Hybrid - Central London & Work From Home Circ £95,000 - £100,000 + Bens This is an exciting opportunity for a Data Architect to own the Data Architecture for a global entertainments business based ...

Data Architect Hybrid - Central London & Work From Home Circ £95,000 - £100,000 + Bens This is an exciting opportunity for a Data Architect to own the Data Architecture for a global entertainments business based ...

Data Architect Hybrid - Central London & Work From Home Circ £95,000 - £100,000 + Bens This is an exciting opportunity for a Data Architect to own the Data Architecture for a global entertainments business based ...

person will combine strong technical craft with business understanding. They will work hands-on data integration, transformation, building data warehouse and data products using dbt, Airflow, BigQuery, and BI tools while delivering business value to Dojo and our Customers.About the team... Our team is responsible for building data solutions … your analytics engineering work stream end to end, transforming stakeholder needs into robust, scoped data products.Build performant, cost-conscious data pipelines in BigQuery using dbt, and design insightful data visualisationDevelop scalable, performant, and reliable pipeline orchestrations using Airflow, dbt, Airbyte, and Fivetran.Use Python to automate workflows, validate data quality ...

delivery of first-class data systems at Taptap Send. This is a senior technical IC role: you’ll design, build and maintain the dbt modelling layer that all teams — from Finance to Product to Markets — rely on to make decisions.You’ll set the technical bar for Analytics Engineering at TTS. … That means owning our thorniest modelling problems, ensuring that trusted, self-serve data is default across the company. If you live and breathe dbt and want to apply that craft to real problems in a rapidly scaling cross-border payments context then this is the role for you.You’ll report ...

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 (e.g. activation … 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 metrics ...

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 (such … driving higher 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 such ...

with their work.What Success Looks LikeIn your first few months, you’ll have:Learnt how the team operates and uses technologies such as Snowflake, dbt, AirflowBuilt a clear understanding of the strategic direction of Data and Analytics at Global as well as how these feed into the wider business’ goalsWorked … Analytics Engineering positionData Modelling: Proven ability to design and maintain scalable, well-documented data models that enable multiple use cases.Data Curation Tools: e.g. dbt or Python for data manipulation and transformationSQL: ability to write complex SQL that runs efficiently especially on cloud data platforms (E.g. Snowflake)Orchestration: Proficiency with orchestration ...

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 ...

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 ...

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/ ...

Maintain, improve and coordinate monthly financial reports for C-suite Create, maintain and optimise reporting for various different streams of cost information Use dbt and create semantic layers to inform AI enabled dashboards, reports, and visualisations Analyse and interpret data to track and improve commercial and operational performance Collaborate with … working within a finance team and senior stakeholders Proficiency in writing robust, performant SQL queries Some experience building robust data pipelines, using Python and dbt Strong analytical skills, commercial interest, and the ability to distinguish between what matters and what doesn't Experience working in a fast-paced, dynamic environment ...

from Oracle to AWS and the development of a modern data platform.What you'll doDesign and build analytics solutions, data models and transformations using dbt CloudDevelop the business reporting layer, including testing, documentation and CI/CDBuild dashboards and self-service analytics using MetabaseUse advanced SQL and data modelling techniques … commercial experience as a Data Analytics Engineer, Data Engineer or similarYou have excellent SQL and data modelling skillsYou have strong hands-on experience with dbt Cloud, including modelling, testing, documentation and CI/CDYou have experience with Metabase or a similar BI/analytics platform.You have strong Oracle/ ...

Kubernetes, Docker, Spark and related monitoring tools (e.g. DataDog, Grafana, Prometheus) for DataOps a huge plus;Experience with Airflow a huge plus;Experience with dbt for pipeline modelling also beneficial;Skilled at shaping needs into a solid set of requirements and designing scalable solutions to meet them;Able to quickly … documentation for a more effective platform;Desirable: energy domain knowledgeOur core data stackPython as our main programming languageDatabricks Spark for data processingDatabricks/dbt/SQL for data modelling and analyticsStreamlit for data applications and visualisationsAirflow for job scheduling and trackingCircleCI for continuous deploymentParquet and Delta file formats ...

problem that has no textbook answer. To get there you'll own the data foundations too: canonical definitions of our fundamental metrics, the dbt models underneath them, and the reporting that Growth, Commercial, Operations and Finance depend on. We've built quickly and there's real judgment and craft required … Growth, Commercial, Operations and Product leads. Your work is what the board sees. Our current stack is Postgres replicated into Snowflake via Fivetran, dbt for transformation, Omni for modelling and dashboards, Amplitude for product analytics, and Statsig for experimentation, plus a growing set of bespoke dashboarding and reporting instrumentation. ...

Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate … Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal ...