data cleaning, wrangling, and working with large datasets across different formats. Comfortable writing complex SQL queries for data extraction and transformation Experience with data modelling principles (e.g., star/snowflake schemas). Experience with dbt is a plus. Strong verbal and written communication skills, with the ability to explain data findings to both technical and non-technical audiences. Experience More ❯
in Power BI. Youll have a working knowledge of a broad stack of cloud technologies, excellent engineering skills, and experience of Ingestion and ETL methods for pushing data into Snowflake from internal (MuleSoft, Salesforce, SaaS platforms etc) and external API-sources. As a highly capable data engineer, you will be responsible for building dynamic Power BI solutions, leveraging the … best of Snowflake for Analytics and Insight, shaping data modelling and informing Data governance. Youll collaborate with internal and external stakeholder groups to develop complex, and at times bespoke, data solutions for a logistics-intensive business. Our work involves moving thousands of valuable artworks across the globe, hosting several public and private exhibitions and participating in art fairs all … data tables, security/access frameworks, and analytics delivery. Strong attention to detail. Strong experience with data transformation tools such as DBT, or Dataflow. Strong hands-on knowledge of Snowflake and PostgreSQL databases. Strong Ability to work autonomously in a fast-paced and dynamic environment. Strong SQL and Python coding skills, particularly in automation & integrations. Sound experience in AWS More ❯
ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business More ❯
Job Title: Snowflake Centre of Excellence Lead Location: Central London (Hybrid - 2 to 3 days on site per week) Employment Type: Permanent Salary: up to £120,000 per annum + benefits About the Role: We are working with a prestigious client based in London who are seeking a Snowflake Leader to play a pivotal role in establishing and … scaling their Snowflake capability. This is a unique opportunity for a seasoned Snowflake professional to build a Centre of Excellence from the ground up within a fast-paced, high-impact environment. As the Snowflake CoE Lead, you will be instrumental in shaping the organisation's Snowflake strategy, architecture, and delivery model. You'll bring your deep … technical expertise, leadership experience, and direct engagement with Snowflake to build a best-in-class data platform offering. Key Responsibilities: Lead the design, setup, and growth of a Snowflake practice, including establishing a Centre of Excellence. Architect, implement, and maintain scalable data solutions using Snowflake. Collaborate closely with stakeholders across the organisation and with Snowflake directly to More ❯
improving a system that handles a high volume of traffic so experience with cloud and data warehouse infrastructure will help you in this role (we use AWS, Cloudflare and snowflake). Familiarity with infrastructure as code will also help when updating our cloud architecture (we use terraform). We place a large focus on data quality so you'll … not just the code, but the architecture of our platforms and everything that enables the business to thrive. Gain expertise over our tools and services: Python, Docker, Github Actions, Snowflake, AWS Participate in all team ceremonies and have direct input in the team's ways of working. This is a high-trust, supportive, and collaborative environment where you will … experience-we want to hire people to grow into the role and beyond. About the team: Python is our bread and butter. The wider data platform team uses dbt, Snowflake, and Looker to model, transform, and expose data for analytics and reporting across the business. We use Docker and Kubernetes to manage our production services. We use Github Actions More ❯
function and work closely with senior stakeholders, including programme sponsors and business leads. Key responsibilities - Platform Engineer Support the build and enhancement of a cloud-based data platform using Snowflake on Azure, working within an established technical framework. Develop infrastructure components and manage deployment through infrastructure-as-code practices. Collaborate with internal stakeholders to ensure the data platform design … assurance processes. Contribute to platform documentation and technical standards. There is potential for future responsibility in mentoring or overseeing junior team members. Required experience Hands-on experience working with Snowflake, including schema development and data pipeline integration. Familiarity with Azure services, including resource provisioning and identity setup. Experience using Terraform for infrastructure deployment (ideally with cloud data services More ❯
ETL code at scale. Modern Data Pipelines: Experience with batch and streaming frameworks (e.g., Apache Spark, Flink, Kafka Streams, Beam), including orchestration via Airflow, Prefect or Dagster. Data Modeling & Schema Management: Demonstrated expertise in designing, evolving, and documenting schemas (OLAP/OLTP, dimensional, star/snowflake, CDC), data contracts, and data cataloguing. API & Integration Fluency: Building data ingestion More ❯
Senior Engineer to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and optimisation of applications using Azure cloud-native services. Write clean, testable, and maintainable code following industry standards. Implement CI/CD pipelines … deliver user-centric solutions. About the Candidate The ideal candidate will possess the following: Strong understanding of data warehousing, ELT/ETL processes, and data modelling. Proficiency in Azure, Snowflake, and DBT. Experience in application modernisation and migration. Ability to produce clean, testable, maintainable code. CI/CD pipeline implementation and test automation. Familiarity with AI-powered development tools More ❯
a unified, scalable architecture to enable improved analytics, data governance, and operational insights. Technical requirements: ️ Substantial experience designing and implementing data solutions on Microsoft Azure Hands-on expertise with Snowflake, including data modelling, performance optimisation, and secure data sharing practices. Proficiency in DBT (Data Build Tool), with a strong understanding of modular pipeline development, testing, and version control. Familiarity … both enterprise reporting and self-service analytics. Candidates must demonstrate experience working in Agile environments, delivering in iterative cycles aligned to business value. Tech Stack: Azure Power BI DBT Snowflake About us esynergy is a technology consultancy and we build products, platforms and services to accelerate value for our clients. We drive measurable impact that is tightly aligned to More ❯
the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Model usage based economics - Build and maintain dbt models in Snowflake that translate raw product telemetry into ARR, margin, and unit economics views. Forecast revenue & costs - Design Python driven Monte Carlo and statistical models to project usage, revenue, and gross … testing, reconciliation, and data quality SLAs so Finance can audit every revenue and cost metric back to source. Mentor analysts & engineers - Provide best practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling. About You: 7+ years in analytics or data science roles focused on Finance (SaaS or usage based preferred). Deep hands on expertise withdbt More ❯
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 … 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 More ❯
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 … 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 More ❯
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 … 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 More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
Support influencer marketing with reporting, dashboards, and automation of manual processes Provide marketing reporting and insights for paid channels (Meta, Google, Snapchat) Build dashboards in ThoughtSpot Write SQL queries (Snowflake, some dbt) Suggest improvements to streamline reporting and increase efficiency Present insights back to marketing stakeholders to drive decision-making YOUR SKILLS AND EXPERIENCE Solid experience in SQL needed … Marketing/ecommerce analytics experience Experience with dashboarding tools Strong understanding of marketing metrics (CAC, attribution, ROAS, etc.) Commercially minded and proactive in suggesting improvements Nice to have: Snowflake/dbt, attribution modelling, or experience in fast-growth D2C brands BENEFITS Salary £50,000–£55,000 Hybrid working (3 days in London office) 9 “work from anywhere” days per More ❯
Support influencer marketing with reporting, dashboards, and automation of manual processes Provide marketing reporting and insights for paid channels (Meta, Google, Snapchat) Build dashboards in ThoughtSpot Write SQL queries (Snowflake, some dbt) Suggest improvements to streamline reporting and increase efficiency Present insights back to marketing stakeholders to drive decision-making YOUR SKILLS AND EXPERIENCE Solid experience in SQL needed … Marketing/ecommerce analytics experience Experience with dashboarding tools Strong understanding of marketing metrics (CAC, attribution, ROAS, etc.) Commercially minded and proactive in suggesting improvements Nice to have: Snowflake/dbt, attribution modelling, or experience in fast-growth D2C brands BENEFITS Salary £50,000–£55,000 Hybrid working (3 days in London office) 9 “work from anywhere” days per More ❯
london, south east england, united kingdom Hybrid / WFH Options
Harnham
Support influencer marketing with reporting, dashboards, and automation of manual processes Provide marketing reporting and insights for paid channels (Meta, Google, Snapchat) Build dashboards in ThoughtSpot Write SQL queries (Snowflake, some dbt) Suggest improvements to streamline reporting and increase efficiency Present insights back to marketing stakeholders to drive decision-making YOUR SKILLS AND EXPERIENCE Solid experience in SQL needed … Marketing/ecommerce analytics experience Experience with dashboarding tools Strong understanding of marketing metrics (CAC, attribution, ROAS, etc.) Commercially minded and proactive in suggesting improvements Nice to have: Snowflake/dbt, attribution modelling, or experience in fast-growth D2C brands BENEFITS Salary £50,000–£55,000 Hybrid working (3 days in London office) 9 “work from anywhere” days per More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Harnham
Support influencer marketing with reporting, dashboards, and automation of manual processes Provide marketing reporting and insights for paid channels (Meta, Google, Snapchat) Build dashboards in ThoughtSpot Write SQL queries (Snowflake, some dbt) Suggest improvements to streamline reporting and increase efficiency Present insights back to marketing stakeholders to drive decision-making YOUR SKILLS AND EXPERIENCE Solid experience in SQL needed … Marketing/ecommerce analytics experience Experience with dashboarding tools Strong understanding of marketing metrics (CAC, attribution, ROAS, etc.) Commercially minded and proactive in suggesting improvements Nice to have: Snowflake/dbt, attribution modelling, or experience in fast-growth D2C brands BENEFITS Salary £50,000–£55,000 Hybrid working (3 days in London office) 9 “work from anywhere” days per More ❯