21 of 21 Remote dbt Jobs in Central 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 ❯

with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private healthcare & wellness benefits Learning and More ❯

in the businesses data arm. Requirements: 3+ Years data engineering experience Snowflake experience Proficiency across an AWS tech stack DevOps experience building and deploying using Terraform Nice to Have: DBT Data Modelling Data Vault Apache Airflow Benefits: Up to 10% Bonus Up to 14% Pensions Contribution 29 Days Annual Leave + Bank Holidays Free Company Shares Interviews ongoing don't 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 ❯

alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our … Hedge Fund, Trading Firm, and/or working with Quant Trading Technology Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins 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 ❯

alternative datasets. The technology stack is similarly varied including a range of legacy and modern systems, across on-premises and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+, Snowflake, SQL and interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our … years experience gained in a Hedge Fund, Investment Bank, FinTech or similar Expertise in Python and SQL and familiarity with relational and time-series databases. Exposure to Airflow and dbt, as well as Snowflake, Databricks or other Cloud Data Warehouses preferred. Experience implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps: Git, Docker, Jenkins More ❯

quality rules, set up monitoring/logging, and support architecture decisions What You Bring Strong SQL & Python (PySpark); hands-on with GCP or AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI/CD exposure Background in a quantitative field; AI/ML interest a plus Bonus: Experience in manufacturing 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 ❯

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 ❯

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 ❯

data platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … Expertise in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

Job Title: Data Scientist Salary: £65,000-£75,000 + Benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT The Company: Immersum are supporting the growth leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting-edge data science with powerful location … experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to learn and innovate Excellent communication skills, especially when simplifying complex findings for non-technical teams Why Join: Join a mission-led company More ❯

and bring thought leadership to technical planning, client engagement, and innovation. What You'll Be Doing Designing and delivering robust, secure data pipelines using tools like Azure Data Factory , dbt , Fabric , and Dataverse Leading technical implementation across projects with strong Python and SQL skills Supporting test strategies and automation to ensure data quality and reliability Mentoring engineers and fostering a More ❯

the business with accurate attribution and actionable insights. Essential Skills: Deep hands-on GA4 experience, including setup, tracking plans, and migration best practices Strong SQL and data pipeline experience (dbt, Airflow, or similar) Proven ability to ingest and unify data from Google Ads, Meta Ads, and other adtech sources Comfortable working with marketing stakeholders to define event tracking and campaign 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 ❯

rooted in wellness. What you’ll lead: Full strategic ownership of analytics across growth, health outcomes, customer journeys and commercial metrics Building and evolving the modern data stack (BigQuery, dbt, Fivetran, Looker, Hex – with full autonomy to optimise) Managing and growing a high-performing analytics team Driving business-wide decision-making through experimentation, modelling, and insight Embedding a data-first … culture across product, marketing, ops, and finance About you: 9+ years in analytics or data engineering, with deep SQL and dbt expertise (Python/R a bonus) Experience in a fast-growing D2C brand Strong commercial acumen – comfortable working across CAC, LTV, churn, forecasting, etc. Confident engaging with senior stakeholders and shaping company-wide strategy A hands-on builder with More ❯

10+ years’ experience in software development, particularly with web applications. Proficiency with Python (Flask or Django) and React.js . Experience with data pipelining , schema design , and ELT pipelines (e.g., dbt , Airflow ). Proven track record in leading engineering teams , with a focus on mentoring and continuous improvement. Strong project management and stakeholder communication skills. Expertise in software architecture , cloud platforms More ❯

service analytics across the business by building robust, well-documented, and high-quality data models. Youll be at the forefront of leveraging cutting-edge technology, including GCP BigQuery and DBT, to deliver world-class solutions that empower teams and drive smarter decision-making . What Youll Do Design, develop, and maintain comprehensive business data layers and models that are clean … full potential of our data assets 1 What Were Looking For Proven experience in analytics engineering, data modelling, or a related field Strong technical skills with GCP BigQuery and DBT (or similar technologies) Ability to translate complex business requirements into scalable data solutions Excellent communication and collaboration skills A passion for continuous improvement and staying ahead of industry trends If More ❯