23 of 23 dbt Jobs in Central London

from web analytics, content management systems (CMS), subscription platforms, ad tech, and social media. Ability to automate and optimise data workflows, using modern ETL/ELT tools (e.g., Airflow, dbt, Apache Spark) to ensure timely and reliable delivery of data. Experience building robust data models and reporting layers to support performance dashboards, user engagement analytics, ad revenue tracking, and A More ❯

like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You’ll be joining a collaborative, inclusive team that values technical excellence and continuous learning. Flexible working, strong L&D More ❯

experience in data leadership – ideally within fintech, SaaS, or regulated tech environments. Technical depth across data engineering, analytics, or data science. Hands-on familiarity with modern data stacks – SQL, dbt, Airflow, Snowflake, Looker/Power BI. Understanding of the AI/ML lifecycle – including tooling (Python, MLflow) and best-practice MLOps. Comfortable working across finance, risk, and commercial functions. Experience More ❯

scripting languages such as Python or Scala . Demonstrated ability to create impactful dashboards using Power BI and Tableau . Deep understanding of data pipeline orchestration tools (e.g., Airflow, dbt, Azure Data Factory). Experience working in agile, cross-functional teams, collaborating closely with data analysts, engineers, and business stakeholders. Strong problem-solving skills, attention to detail, and an ability More ❯

enterprise b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring More ❯

step/complex analytics is essential for this role. Experience in cloud platforms (GCP – BigQuery, Azure -Synapse, Snowflake) and exposure to data science tools/languages such as Python, dbt, D3, Github, GCP/AWS would be advantageous. (This is not a technical advanced data science role so advanced experience in these will not be relevant). Experience in the More ❯

or analytics. Experience leading cross-functional teams and setting product vision. A commercially minded approach, always focused on business impact. Solid understanding of tools like Python, SQL, Power BI, DBT, and Google BigQuery. A desire to work in a collaborative, high-ownership environment. Curiosity about customer behaviour and a drive to uncover insights through data. 📩 Sound like you? Lauren.stuart@pulserecruit.co.uk More ❯

and onboarding Design, run, and analyse A/B tests that influence product direction Work with engineers to ensure accurate tracking via Snowplow Shape the data models and pipelines (DBT) that support experimentation at scale WHAT THEY’RE LOOKING FOR Strong SQL — you’ll use it daily Experience in a product-focused or digital analytics role Exposure to A/ More ❯

data models Championing data quality and governance across teams Driving deeper understanding of audience behaviour and customer needs The Tech: They’re set up with a modern stack — Snowflake, dbt, Looker — and are keen to find someone who can bring experience with: SQL (and data modelling best practices) Working with cloud data warehouses Pulling from multiple sources and transforming complex More ❯

insights while also guiding a small team and working closely with Product to shape the future of data delivery. Previous experience in data analytics, with strong SQL, Python, and dbt skills Experience delivering client-facing reports and internal performance insights A background in a B2B business Comfortable with data visualisation tools (ideally Tableau) A natural problem-solver with a proactive More ❯

operational analytics or a similar role, with a strong focus on enabling data-driven decisions Advanced proficiency in SQL and Python for data extraction, transformation, and analysis Experience with dbt is preferable B2B Experience is a strong preference Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders in a clear and impactful manner APPLY More ❯

Interview process: 3 stages 📢 Reporting to: Head of Data 👏 Company size: ~300 🎯 Working on: data warehousing, transformation, modelling & visualisation What are we looking for? Hands-on experience with SQL, dbt, Databricks, PowerBI (or similar) & broader modern data tools A strong technical track record of building robust data solutions The ability to communicate data impact clearly & engage business decision makers The More ❯

TO THE TEAM You bring a deep understanding of how to transform raw data into clean, reliable and analysis-ready datasets. You’re fluent in SQL and experienced with DBT, with a strong appreciation for scalable, well-structured models that encode business logic clearly and consistently. You think analytically and work methodically ensuring your transformations enable reporting, analytics and activation … use cases with confidence. YOUR NEXT CHALLENGE As an Analytics Engineer at Medialab, you will: Design, build and maintain data models within our DBT codebase, transforming raw data into clean, tested, and documented datasets ready for analytics and activation. Onboard new data feeds, working closely with business and technical stakeholders to understand requirements and ensure smooth integration into our pipelines. … Support users and team members, sharing knowledge and solving problems effectively. Must Have Skills SQL – proficient; confident in writing performant, well-structured SQL with full understanding of ANSI standards. DBT – strong working knowledge; experienced in building, testing, and documenting models as the central tool for transformation and semantic modelling. Python – some experience; able to use and adapt scripts and tooling More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in More ❯

Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in More ❯

help clients make smarter, data-driven decisions. The Role As an Analytics Engineer, you’ll design and build scalable, production-ready data pipelines and analytics infrastructure using tools like dbt, SQL, Python, and cloud data warehouses. You’ll work end-to-end—from scoping to delivery—on projects that directly impact clients’ strategic decisions. The role is highly technical and … Key attributes of the suitable Analytics Engineer include: A few years of experience in analytics or data engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure). You should be confident designing ELT/ETL pipelines and working across varied technical stacks. Strong communication skills and experience working More ❯

performance data pipelines and APIs Developing ETL processes to support analytics, reporting, and business operations Assembling complex datasets from a wide variety of sources using tools like SQL, Python, dbt, and Azure Supporting and improving data quality, data infrastructure, and performance Defining and documenting cloud-based data architecture and technical solutions Collaborating across teams and contributing to architectural decisions Troubleshooting … What we’re looking for: Strong experience with Azure cloud technologies , particularly around data services Proficient in SQL and experienced with Python for data transformation Hands-on experience with dbt , ETL development , and data warehousing best practices Comfortable with deploying infrastructure as code and building CI/CD pipelines (e.g., using GitHub, Azure DevOps) Ability to manage large, unstructured datasets More ❯

Data Analyst – SQL/Looker/dbt Exposure London – Hybrid (1 day a week in office) Up to £50,000 The Company A tech-enabled insurer built for the modern economy. This company blends data, automation, and user-centric design to offer flexible insurance products across the UK and beyond. With a growing customer base and a strong funding track … data quality and documentation Support data literacy across the business by sharing knowledge and best practices What You’ll Bring Previous experience working with SQL and Looker Exposure to dbt, or keen interest to build skills in that area Ability to translate business questions into structured analysis Strong communicator with experience working cross-functionally Comfortable working in a changing environment More ❯

in their data function. The Role Sitting within a newly-formed Analytics Engineering function, this role is ideal for someone who enjoys end-to-end ownership, from designing clean dbt models to working closely with business stakeholders. You'll help shape the way data is modelled, documented, and served across the business, working with a modern stack and high-impact … teams. Key responsibilities in the role Build and maintain robust dbt models within the Snowflake data warehouse Design scalable solutions that translate business questions into reliable datasets Collaborate with teams across product, ops, marketing, and finance Improve data quality, documentation, and platform reliability Integrate data from key third-party sources Support self-serve analytics through Looker What They’re Looking … For Previous experience in an analytics engineering role (or similar) Strong experience with SQL, dbt, and Snowflake Someone just as confident building models as they are shaping best practices Comfortable in ambiguity and proactive about making things better Bonus if you’ve worked in insurance or fintech, but not essential Why Apply This is a high-impact role where you More ❯

ups in the UK. ROLE AND RESPONSIBILITIES Build and maintain dashboards in Looker Add new fields and make updates within these Looker models Assist with basic data modelling using DBT Conduct ad-hoc and regular analysis to support the product and tech teams Support more senior analysts on larger BI projects Contribute to documentation of models, dashboards, and data sources … respond to data requests as needed SKILLS AND EXPERIENCE Required: 2 years of experience in a BI, analytics, or data role (flexible) Proficient with Looker and SQL Exposure to DBT is a strong plus Familiarity with Excel, Power BI Good communication skills and some experience working with stakeholders Interview Process: Intro call and CV run-through Take-home task, followed More ❯

Lead and manage all engineering activities across internal and external teams, ensuring high productivity and quality of execution. AWS Expertise: Strong expertise across AWS products, including S3, Glue, Spark, DBT, Terraform, and Redshift. Roadmap Prioritisation: Prioritize and manage engineering activities and personnel to deliver on a roadmap, ensuring alignment with our strategic goals as defined by the Head of Customer … at least 5 years’ experience in data Proven experience in managing engineering teams in a fast-paced environment. Knowledge of AWS services and tools, including S3, Step Functions, Spark, DBT, Terraform, and Redshift. Strong leadership and communication skills, with the ability to inspire and motivate a diverse team. Communication with stakeholders at all levels is essential. A passion for innovation More ❯

of the most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured … standards and best practices Communicate findings and recommendations clearly across technical and non-technical stakeholders SKILLS AND EXPERIENCE Required: 3+ years in an Analytics Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions More ❯