and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯
and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯
and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯
and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯
and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯
london (city of london), south east england, united kingdom
W Talent
and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯
and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience with every tool listed, but should be enthusiastic about learning and contributing across the stack. More ❯
About you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth - able to design experiments, measure impact, and translate More ❯
About you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth able to design experiments, measure impact, and translate More ❯
About you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth — able to design experiments, measure impact, and translate More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tembo
About you Proven experience building a data platform from scratch in a fast-growing tech or fintech environment Strong technical background in SQL, Python, and modern data tooling (e.g. dbt, Airflow, Snowflake, BigQuery, Looker/Tableau) Comfortable joining disparate data sources into a coherent schema and single source of truth Analytical depth — able to design experiments, measure impact, and translate More ❯
platforms (e.g. Databricks, Azure, AWS or GCP native stacks)Experience with platform observability and CI/CD for data platformsHands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or AirflowHistory of supporting pre-sales activities in a product or consultancy-based businessWhat Kubrick offers:We are a fast moving and fast growth business which is doing More ❯
make customer-centric work possible - providing foundational tooling like address lookup and consent capture, and offering more advanced capabilities like our internal event stream platform and a fully-managed DBT environment. Our services help teams track behavioural signals, enrich customer profiles, and transform raw data into decision-ready insight - all while maintaining a strong focus on data protection. We primarily More ❯
Skills-Snowflake,DBT,Airflow, Data Modelling,SQL Mode-Hybrid-4 Days Location-Manchester Mandatory Skills Possess good knowledge in Cloud computing Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in Snowflake Architecture Very good working knowledge in Snowflake internals More ❯
Skills-Snowflake,DBT,Airflow, Data Modelling,SQL Mode-Hybrid-4 Days Location-Manchester Mandatory Skills Possess good knowledge in Cloud computing Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in Snowflake Architecture Very good working knowledge in Snowflake internals More ❯
bolton, greater manchester, north west england, united kingdom
Thrive IT Systems
Skills-Snowflake,DBT,Airflow, Data Modelling,SQL Mode-Hybrid-4 Days Location-Manchester Mandatory Skills Possess good knowledge in Cloud computing Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in Snowflake Architecture Very good working knowledge in Snowflake internals More ❯
warrington, cheshire, north west england, united kingdom
Thrive IT Systems
Skills-Snowflake,DBT,Airflow, Data Modelling,SQL Mode-Hybrid-4 Days Location-Manchester Mandatory Skills Possess good knowledge in Cloud computing Very good working knowledge in data models viz Dimensional Data Model ER Data Model and Data Vault Very good working knowledge in writing SQL queries Very good working knowledge in Snowflake Architecture Very good working knowledge in Snowflake internals More ❯
data architectures , particularly in AWS (S3, Glue, EMR, Lambda) or Azure (ADF, Synapse, Data Lake). Strong experience with data modelling, ETL/ELT design , and orchestration tools (Airflow, DBT, or similar). Proficiency in Python, SQL, and Spark for data transformation and performance tuning. Experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or Bicep). More ❯
impactful. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline from data extraction to model evaluation. Python SQL Snowflake DBT Tableau Dataiku 3+ years of experience in Data Science or Machine Learning. Strong Python & SQL skills, with experience working in cloud-based data environments. A problem-solver with a commercial More ❯
South East London, London, United Kingdom Hybrid / WFH Options
Corriculo Ltd
performance Collaborate with development and data teams to support data-driven features and insights Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Data Engineer and are available More ❯
What Youll Bring 2+ years as a Data Engineer , ideally in fintech, UK consumer lending, or financial services . Hands-on experience with SQL, Python , and tools like Snowflake, dbt, Dagster , or similar. Comfortable with transactional, bureau, and open banking data . Experience delivering production-ready datasets in a regulated environment. Enjoy working in a fast-paced, collaborative setting . More ❯
You’ll Bring 2+ years as a Data Engineer , ideally in fintech, UK consumer lending, or financial services . Hands-on experience with SQL, Python , and tools like Snowflake, dbt, Dagster , or similar. Comfortable with transactional, bureau, and open banking data . Experience delivering production-ready datasets in a regulated environment. Enjoy working in a fast-paced, collaborative setting . More ❯
South East London, London, United Kingdom Hybrid / WFH Options
Corriculo Ltd
on tribal knowledge and manual interventions. Enabling future scalability by establishing robust, modular foundations Experience Required: Snowflake expertise Solid data engineering expertise including strong SQL and Python Proficiency in DBT for transformation tasks Experience with Dagster or a similar orchestration tool Familiarity with Azure So What's Next? If you are an experienced Snowflake-focused Lead Data Engineer/Tech More ❯
Semantic Models). Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). Proven experience building ETL/ELT pipelines using tools such as SSIS , dbt , or Airflow . Solid understanding of database administration , tuning, and performance optimisation across MSSQL and PostgreSQL . Key Responsibilities: Design and maintain data models that meet business requirements, ensuring scalability More ❯
Semantic Models). Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). Proven experience building ETL/ELT pipelines using tools such as SSIS , dbt , or Airflow . Solid understanding of database administration , tuning, and performance optimisation across MSSQL and PostgreSQL . Key Responsibilities: Design and maintain data models that meet business requirements, ensuring scalability More ❯
