1 to 25 of 91 Snowflake Jobs in the South East

with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies. Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling More ❯

Optimization & Data Transformation: Write and optimize SQL queries, ensuring data integrity, performance, and scalability, using best practices and techniques Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence. Cross-Team Collaboration: Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver solutions that support data-driven insights and innovation. … 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 AWS/ More ❯

bring... Experience as a Data Product Owner or Product Owner for data/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 More ❯

As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.) and automation. The Senior Data Engineer will work closely with the data, Architecture, Business Analyst, Data Stewards to integrate and align requirements, specifications and constraints of each … system reliability. Utilize data quality tools like Great Expectations or Soda to ensure the accuracy, reliability, and integrity of data throughout its lifecycle. Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure … features. · Excellent communication skills. · Strong knowledge of Python. · Familiarity with Azure Services such as Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault, etc. · In-depth knowledge of Snowflake architecture, features, and best practices. · Experience with CI/CD pipelines using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. More ❯

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 … multi-tenant, data-heavy systems, ideally in a startup or fast-moving environment. Technical Stack : Languages/Tools: Python (REST API integrations), DBT, Airbyte, GitHub Actions Modern Data Warehousing: Snowflake, Redshift, Databricks, or BigQuery. Cloud & Infra: AWS (ECS, S3, Step Functions), Docker (Kubernetes or Fargate a bonus) Data Modelling : Strong grasp of transforming structured/unstructured data into usable models More ❯

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 ❯

skills in SQL and Python , with hands-on experience in relational databases across cloud and on-prem environments. Familiarity with modern data technologies such as Apache Spark , Kafka , or Snowflake . A comprehensive understanding of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/ More ❯

the team: Proven experience as a Principal Data Engineer or Data Architect in a hands-on role; Deep expertise in Databricks and experience with cloud data platforms such as Snowflake, AWS or Azure; Strong proficiency in data modeling, data warehousing, and ETL/ELT architecture at scale; Advanced programming skills in SQL and Python; experience with orchestration and data pipeline More ❯

Data Engineer – Data Consultancy A forward-thinking UK-based data consultancy is seeking talented Data Engineers to help clients unlock the full potential of their data assets. In this role, you’ll be instrumental in guiding organisations through the evolving More ❯

As a Data Engineering Specialist, you'll play a vital role in transforming how the business uses data. You'll lead critical migration projects, work with modern tooling like Snowflake, and help architect scalable, future-proof data solutions. You'll also collaborate with business stakeholders, mentor colleagues, and drive improvements in data quality across the board - all while building slick … data migration and integration tasks, ensuring quality and alignment across systems. Design, implement, and optimise ETL processes to streamline data movement from diverse sources. Build and enhance a robust Snowflake data warehouse to support evolving reporting needs. Troubleshoot and resolve data quality issues, supporting business users with self-service access. Develop Python-based automation tools and scalable pipelines. Conduct data … Proven experience across the full data lifecycle - from ingestion and transformation to validation and analysis. Strong Python skills and confidence building automation for large-scale data tasks. Hands-on Snowflake and Azure experience. Deep understanding of ETL/ELT pipelines and data governance standards. A solid grasp of financial data or lending domain knowledge is highly desirable. A passion for 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 … 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 to enable data-driven … analytics innovation projects What we are looking for: Strong hands-on 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 More ❯

to expand 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 … Duties will 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 More ❯

with Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. Contribute to the development … dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance … complex data concepts into business-friendly language. Ability to lead technical discussions and influence data-driven decision making across teams. Certifications such as Microsoft Certified: Azure Data Engineer Associate , Snowflake Architect , or CDMP are highly desirable. Why join us? We're on a journey to become market leaders in our space - and with that comes some incredible opportunities. Collaborate and More ❯

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/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or More ❯

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-solving capabilities … 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 ❯

identify needs An 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 ❯

Lead Data Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | Up to £140,000 + Benefits | Hybrid – London A Lead Data Platform Engineer is required to join a fast-growing Commodities Trading firm at the forefront of the global Oil & Gas markets. As part of their continued investment in data and analytics, they're scaling their Enterprise Data Platform to … the business. You'll be hands-on with modern data technologies, while also mentoring, coaching, and guiding the team in delivering scalable, high-performance solutions. Key Tech Stack: Python, Snowflake, Dagster, Kafka Terraform, CI/CD, AWS (and some on-prem) Key Responsibilities: Lead, mentor, and manage a team of 5 Data Engineers, fostering a high-performing and collaborative culture. … Design and build enterprise-grade data platforms and ETL pipelines using Python and Dagster. Own the adoption and integration of Snowflake , driving the migration from legacy platforms. Collaborate with internal teams to deploy new tooling, improve data quality, and accelerate delivery. Implement and maintain Infrastructure as Code with Terraform for environment automation. Champion CI/CD and DevOps practices within More ❯

Analytics Data Engineers to support a major Data Transformation programme. In this permanent role, you'll help design and deliver scalable data products that enable self-service analytics using Snowflake, Power BI, Python, and SQL. What You’ll Do: Build robust ETL/ELT pipelines and dimensional models for analytics Enforce data quality, security, and governance in a Data Mesh … We’re Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised environments Excellent communication and stakeholder engagement skills A proactive, problem-solving approach Interested? Apply with your latest CV to find out more. More ❯

with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities … z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth More ❯

business discussions. Desirable Qualifications and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based environments. Google Cloud Professional Data More ❯

effectively Desirable Skills: GCP 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 More ❯

z2bz0 years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth More ❯

TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience More ❯

in data modelling, storage and retrieval Collaborating with stakeholders to ensure alignment between technical solutions and business objectives Leading on the integration of cloud platforms and modern tooling (Azure, Snowflake, Matillion etc.) Coaching and mentoring engineers to elevate capability across the team Ensuring data governance, privacy and security standards are embedded into all solutions Troubleshooting and optimising data infrastructure performance … or leadership role Proven experience designing and delivering end-to-end data pipelines Strong experience with Azure cloud services and security concepts (Key Vault, ACLs, RBACs) Hands-on with Snowflake, Matillion, and a range of modern data tools Programming expertise in Python, Java or SQL Solid knowledge of relational and NoSQL databases Excellent communication skills able to translate technical concepts More ❯

of data modeling, warehousing, and big data platforms. Skilled communicator and team collaborator. Background in financial services, especially credit or lending data, is advantageous. Familiarity with platforms like Databricks, Snowflake, or Redshift. More ❯