1 to 25 of 28 dbt Jobs in East London

xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/ More ❯

AWS or Azure or GCP) with IAC( Terraform )and CI/CD ( Jenkins ). Experience in developing and deploying AI/ML pipelines . Familiarity with Airflow , Redshift , and dbt . What you will do: Architect, build, and optimise robust ETL processes for efficient data extraction, transformation, and loading. Develop an automation model and sophisticated data pipelines using Python, Airflow More ❯

Python, and AWS tools (Redshift, Glue, S3, Lambda, etc.) Strong grasp of data modeling, governance, and pipeline orchestration Excellent communication and collaboration skills in Agile teams Desirable: Experience with dbt, Airflow, Monte Carlo, and BI tools (Power BI, Tableau, QuickSight) Knowledge of data product principles, real-time pipelines, and data enablement programs Join to shape a data-driven future and More ❯

Data Engineer - Python, SQL, DBT, DWH, Airflow, Kafka, Snowflake - Challenger Digital Bank Location: London (Hybrid, 2 days per week in office) Type: Permanent Salary: Competitive + 20% bonus + excellent benefits Are you a Data Engineer ready to shape the future of a digital-first banking experience? Join a fast-growing start-up challenger bank where data is at the … next-generation data infrastructure and enable insight-led growth from the ground up. What you will be doing: Build and optimise robust data pipelines using Python , Kafka , Airflow , and DBT Design and manage Snowflake data warehouse objects to support scalable analytics Write clean and efficient SQL to support reporting, dashboards and data products Collaborate across engineering, analytics and product teams … experience with Python in a data context Proven skills in SQL Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift) Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks Familiarity with data visualisation tools like Sisense, Looker, or Tableau Solid understanding of data architecture, transformation workflows, and pipeline orchestration Clear communicator More ❯

that automatically updates product fit recommendations and descriptions, powered directly by manufacturing data, helping brands reduce returns and improve their bottom line. Our Current Stack: Data Warehouse and Tools: DBT, Snowflake, Airbyte Languages: Python, TypeScript, Node.js , React Cloud & Infra: AWS (S3, ECS), Docker Orchestration: AWS Lambda and Step Functions CI/CD: GitHub Actions Analytics Layer: GoodData What You’ll … Work On: Data Pipelines: Design, build, and maintain robust ETL/ELT pipelines using dbt to transform raw data into reliable, production-grade models, supporting machine learning, analytics, and product features. Data Modelling & dbt Mastery: Own the full lifecycle of data models in dbt, including: Designing scalable fact and dimension tables Managing Slowly Changing Dimensions (SCDs) using snapshots or incremental … models Building and maintaining seeds for reference data Writing thorough tests and documentation to enforce data quality and governance Architecture Ownership: Help shape our dbt folder structure, model contracts, and naming conventions to support long-term maintainability across multi-tenant data products. Automation & Efficiency: Use orchestration tools like Airbyte, AWS Step Functions, and GitHub Actions to ensure seamless deployment of More ❯

ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross-functional teams Desirable Experience APIs from major financial data providers dbt, Snowflake Kafka, Airflow Java feedhandler support Migration of legacy systems (e.g. MATLAB) This position offers a competitive compensation package and hybrid working model. More ❯

their data engineering practice this year. They are now on the look out for an experienced Senior Data Engineer to join the team, bringing technical expertise in Snowflake, AWS, DBT, and Terraform. Salary and Benefits Competitive salary of up to £100k Up to 10% Bonus Up to 14% Pensions Contribution Hybrid working from London office (2 in office, 3 from … include product-based work as well as migration tasks Due to your seniority you will also be tasked with mentoring junior engineers Work extensively and proficiently with Snowflake, AWS, DBT, Terraform, Airflow, SQL, and Python. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DBT expertise Terraform experience Expert SQL and Python Data Modelling Data More ❯

architects, product teams, analysts, and data scientists to implement data solutions that power analytics and reporting. The ideal candidate will have strong experience in data engineering, cloud platforms like DBT, Azure/AWS, data modeling, and ETL/ELT processes. You’ll be part of a dynamic and innovative team, working on cutting-edge technologies to deliver impactful data products … and enforce data governance and quality processes, ensuring accurate and consistent data flows across all systems. Cloud & Infrastructure Support: Work with cloud platforms such as AWS/Azure and DBT with Snowflake to build and maintain scalable data solutions. Continuous Improvement: Proactively look for ways to improve data systems, processes, and tools, ensuring efficiency and scalability. Key skills/knowledge …/experience: ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow Experience in designing and implementing data products and solutions on cloud-based architectures. Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as Snowflake, and More ❯

Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows Experience with BI tools such as Looker Exposure to Databricks, Snowflake, AWS, Azure or DBT Academic background in Computer Science, Mathematics or a related field This is an opportunity to work in a forward-thinking environment with access to cutting-edge projects, ongoing learning, and More ❯

a Senior Data Engineer to join their ranks. What you'll need to succeed Experience working with relational databases (Oracle, Snowflake) Proficient in developing Data Engineering pipelines in Python, DBT and Airflow. Previous experience working in capital markets and financial risk management Experience of working with one of the following cloud technologies (AWS, Azure, or GCP) Experienced in a scripting More ❯

understanding of data in relation to dynamic pricing, revenue operations & management, demand forecasting, competitor analysis etc. would be useful! SQL, Python, Cloud (GCP, Azure, AWS or Snowflake), Airflow/dbt etc. Interested in hearing more? Apply More ❯

in Python or Scala to support data transformation, orchestration, and integration tasks. Work with cloud platforms like AWS to deploy, monitor, and manage data services. Utilise tools such as DBT and Snowflake for data modeling, transformation, and warehouse management. Collaborate with analysts, data scientists, and business stakeholders to ensure data accuracy, consistency, and availability. Apply strong analytical thinking and problem … engineer Hands-on expertise in Spark, Kafka, and other distributed data processing frameworks. Solid programming skills in Python Strong familiarity with cloud data ecosystems, especially AWS. Strong knowledge of DBT and Snowflake Strong problem-solving mindset with the ability to diagnose and resolve technical challenges. Excellent communication skills and the ability to work effectively in a cross-functional team. More ❯

platform teams in a production environment Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Familiarity with data warehousing, ETL/ELT processes, and analytics engineering Programming proficiency in Python, Scala or Java Experience operating in a cloud-native environment (e.g. AWS, GCP More ❯

Senior Engineering Manager – Data Platform Tech Stack Knowledge - Databricks, Kafka, AWS 1 Day a Week Onsite - London We are seeking a customer-centric Senior Engineering Manager – Data Platform to lead the teams responsible for building and evolving our core data More ❯

/analytics platforms. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data engineering workflows, data tools (dbt, Airflow), and cloud data platforms (AWS, GCP, Azure). Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong More ❯

advanced data engineering capabilities. Apply software engineering principles and database design to create scalable data pipelines, integrations, and models. Design, develop, and optimise data solutions leveraging Snowflake, Fivetran, and DBT Cloud. Implement advanced SQL solutions for data aggregation, transformation, and analysis in Snowflake. Develop modular and reusable transformation models using DBT Cloud to maintain a clean, structured data warehouse. Build … robust data pipelines to ingest, transform, and load data into Snowflake using Fivetran and other ETL/ELT tools. Experience Hands-on experience working with Snowflake, Fivetran, and DBT Cloud. Proven experience designing and implementing data warehouses using modern cloud architectures. Expertise in data pipeline monitoring and troubleshooting. Salary - Up to £75,000 Location - London Hybrid - 1 a week in More ❯

accurately represent data relationships. Working with both technical and business teams to elicit requirements and understand the business. Your Profile: Essential skills/knowledge/experience: Experience in Snowflake, DBT, Glue, Airflow. Experience with AWS Services. Good communication and stakeholder management skills. Ability to communicate with both business and technical colleagues at all levels. Knowledge of SQL and Data Modeling. More ❯

datasets to empower Data Analysts in creating robust data models. Deploying and managing data tools on Kubernetes (Airflow, Superset, RStudio Connect). Supporting Data Analytics through the management of DBT, DevOps, and deployment rules. You will have the opportunity to work end-to-end, making meaningful contributions within a small, agile team. Experience We're looking for candidates with: Extensive More ❯

join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data analytics and the impact it has on business performance. … coding ability using either normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

As part of the technical team, this role offers hands-on experience across a range of leading technologies and platforms. Full training will be provided in SQL, Looker, and DBT for reporting, dashboarding, and data pipeline development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain … machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using DBT Ingest and process data from various sources across the business Collaborate with business stakeholders to understand reporting needs Contribute to large-scale European data integration projects Support internal projects such … technology A proactive, entrepreneurial mindset with a desire to learn and solve problems Excellent communication skills and confidence working with business stakeholders Tech Stack You’ll Learn SQL Looker DBT Python Databricks Azure Let me know if you want to tailor this for LinkedIn or make it sound more casual or more technical More ❯

the full lifecycle of a BI solution, including requirements impact analysis, platform selection, technical architecture design, application design and development, testing, and deployment. Proficiency in tools such as Snowflake, DBT, Glue, and Airflow, you will help define the technical strategy and ensure scalable, high-performing data architecture Your Profile Essential skills/knowledge/experience: Extensive experience as Solution Designer. … Currently working on Data Lake (Big Data) based projects. Experience in Snowflake, DBT, Glue, Airflow. Ability to demonstrate structured consideration of multiple options, comparing competing technologies, and different functional design approaches e.g., Produce a KDD. Ability to present and discuss competing options and make recommendations to key stakeholders. Good understanding of Data Lake and Big Data technologies. Good understanding of More ❯

data modelling, data integration, metadata management, and governance frameworks. Experience working in agile, cross-functional teams in large enterprise environments. Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/CD, Terraform) is a plus. Preferred Qualifications GCP certification (e.g., Professional Data Engineer or Cloud Architect ) Background in consulting, enterprise IT transformation, or platform modernisation projects Experience More ❯

SQL Develop and maintain data and coding standards, produce well-documented code with robust testing Mentor junior team members Requirements You are a SQL wizard ETL/ELT knowledge DBT Looker You know how to use version control effectively (git, bitbucket) The terminal is your second home! Demonstrable experience of building data pipelines Clear ability to prioritise tasks and drive More ❯

needs Collaborate with developers, analysts, and architects Conduct peer code reviews and ensure best practices Requirements 5+ years in data engineering/warehousing Expertise in ETL tools (SQL, Python, dbt, etc.) Strong data modelling and governance skills Solid relational database experience Excellent communication and stakeholder management skills This is a hands-on role for a data expert passionate about quality More ❯

area. As Data Analyst , you will be responsible for delivering data-driven insights across a wide range of datasets. Using tools such as Databricks, Tableau, Looker Studio, Amplitude, and DBT, you will extract, transform, and analyse data to support key business functions. You will collaborate closely with stakeholders to understand their data needs, generate reports, and provide actionable insights that More ❯