25 of 25 Remote Snowflake Jobs in the South East

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to … across several teams to join their new and growing IT team! They are looking for an experienced Lead Data Engineer with expert level Java/Python, as well as Snowflake/Databricks to join an exceptional core engineering team and deliver features across their Data Engineering platform. We are seeking a Data Engineer who has advanced working knowledge of Snowflake More ❯

to learn, and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting salary (up to £45,000 for the right More ❯

A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London - this is a permanent role with hybrid working arrangements, with 2 days per week in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand … new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take ownership of projects, and … a start-up mentality with a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex More ❯

Tableau or Power BI Demonstrable experience designing and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling … SQL, Python/R, pandas, scikit-learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO 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 ❯

developing data pipelines and systems. Expertise in cloud technologies (AWS) and integrating cloud services into data platforms. Strong proficiency in SQL, Python, and modern data engineering tools such as Snowflake, DBT, and Tableau. Experience with data warehousing, data lakes, and data modelling. In-depth knowledge of best practices for data quality, security, and performance optimisation. Ability to work closely with 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 ❯

manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. Familiarity with reporting and analytics tools, Qlik, Microsoft Excel, Power BI, Synapse, Snowflake or similar. Self-motivated, proactive, with a strong sense of ownership, initiative, and problem-solving abilities. Excellent communication skills, with the ability to translate complex technical concepts to non- technical More ❯

Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform Architecture, DevOps, MLOps/LLMOps. Ideal Profile: Proven More ❯

and ML landscape to drive architectural best practices, data quality, and scalability. Specifically, you can expect to be involved in the following: Architecting and evolving data solutions primarily within Snowflake , alongside a modern Driving platform-level improvements with a focus on data usability, governance, and long-term sustainability Implementing robust engineering and software best practices across the data lifecycle Collaborating … The successful Principal Data Engineer will have the following skills and experience: 7+ years in data engineering, ideally within consumer-facing tech or B2C product companies Deep expertise in Snowflake , with strong hands-on experience in building scalable data warehousing solutions Proven ability to build self-serve data platforms and high-quality data assets Strong architectural acumen and software engineering … fundamentals Experience driving adoption of data governance and improving data platform usage across internal teams stack including: Snowflake AWS DBT Airflow Python Kinesis Terraform CI/CD tools BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary up to £107,000 Hybrid working: 2 days per week in the London office 25 days holiday + bank holidays More ❯

be supported by the wider team. Core Requirements: Strong SQL skills for data modelling and transformation Proven experience building and managing ETL pipelines in production Hands-on experience with Snowflake and dbt Proven experience as an Analytics Engineer Experience working in a cross-functional environment with stakeholders Excellent communication skills What Will Make You Stand Out: Experience with ThoughtSpot , Looker More ❯

version control, CI/CD) Background in retail or e-commerce pricing platforms Technical Toolbox Modelling & data : Python, SQL Experimentation : A/B testing frameworks Containerisation : Docker BI & warehousing : Snowflake (or equivalent), Tableau/Power BI Cloud : AWS, GCP or Azure More ❯

/warehouses). Desirable Awareness of cloud-based platforms (e.g., Azure) and their implications for data and application strategy. Familiarity with data warehousing solutions or modern analytics stacks (e.g., Snowflake, Databricks). Understanding of information security best practices and regulatory frameworks (e.g., GDPR, ISO 27001). Knowledge of ITIL practices or service management frameworks. Your Experience We are looking for More ❯

or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g., Snowflake). SQL Server 2016+ with Excellent T-SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. More ❯

Design and implement solutions using GCP , with a strong focus on Data Lakehouse Architecture , Master Data Management (MDM) , and Dimensional Data Modeling Work with modern databases and platforms, including Snowflake , Oracle , SQL Server , and PostgreSQL Apply Agile and conventional methodologies to manage development and delivery lifecycles Communicate effectively with stakeholders across the business to ensure alignment and engagement Required Technical … Skills: GCP Data Architecture Data Lakehouse Architecture MDM (Conceptual) Dimensional Data Modeling Snowflake, Oracle, SQL Server, PostgreSQL Python and Power BI (desirable) Knowledge of test automation tools and practices Strong understanding of Agile and software development best practices Ideal Candidate Profile: Extensive experience in delivering data programmes within the Insurance or Reinsurance sector Strong leadership and organisational skills with the More ❯

high, even during challenging times The Desirable Tools, Systems & Platforms you may have used are: Jira, Confluence, Visio, Lucid, PowerPoint, SQL, Cloud Platform knowledge (such as GCP, AWS, Azure, Snowflake) Are you ready to embark on an exciting adventure as our Scrum Master/Business Analyst Extraordinaire? Apply now and let your superhero skills shine! If you don't fit More ❯

complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards More ❯

in a Senior Data Engineering role. Comfortable owning and delivering technical projects end-to-end. Strong in Python, SQL, and cloud platforms (AWS or comparable). Experience with Airflow, Snowflake, Docker (or similar). Familiarity with coaching and mentoring more junior engineers, leading 1-1s and check ins. Wider tech stack : AWS, Python, Airflow, Fivetran, Snowflake, Looker, Docker. What More ❯

complex calculated fields when required Possess hands on experience with SQL and knowledge of data warehousing and dimensional modelling will be advantageous Experience using large data platforms such as Snowflake, Databricks or similar Exposure to other visualisation platforms is helpful, but not essential Required Characteristics Cares about quality, ensuring data accuracy and consistency across all visualisations Confident in presenting dashboards More ❯

and collaborating with various partners to improve the culture around data Great interpersonal skills and collaborative mindset Hands-on experience with modern cloud data warehouses such as Databricks/Snowflake, ideally on AWS This role will be hands-on and you will be responsible for implementing process and reporting around governance, as such, proficiency in SQL based data manipulation and More ❯

our modern data ecosystem. This is an exciting opportunity to influence how data is structured, maintained, and trusted across the company, with exposure to cutting-edge technologies including Databricks , Snowflake , and Generative AI systems . What Youll Be Doing Champion best practices in data governance , data quality, and data stewardship across teams. Collaborate closely with data engineering, product, and compliance … and filtering mechanisms . What Were Looking For Proven experience in data governance , data quality , or data operations roles. Hands-on experience with modern cloud data platforms ideally Databricks , Snowflake , or Redshift on AWS . Proficiency in SQL and Python for data manipulation and automation. Familiarity with Unity Catalog , data cataloging , or lineage tools (e.g., Alation, Collibra, Purview). Understanding More ❯

This is an exciting opportunity for overall responsibility for the design, build, and maintenance of the Snowflake and Azure enterprise data platform. You will manage platform engineering, quality and governance delivery teams, delivering both projects and BAU activities, aligning to CIO ways of working and co-ordinating delivery plans with end-to-end outcomes across CIO. Next to delivery you … cost stays within the agreed budget Centre of Excellence : Implement a data platform engineering CoE within in the PDA community to support all data teams at Hastings to use Snowflake platform efficiently and effectively Coding Standards: Create, implement, maintain and control adherence to appropriate coding standards in line with industry best practices to meet quality measures and guarantee the achievement More ❯

permanent option) Day Rate: £500-560pd (Outside IR35) Start Date: Immediate Overview You'll play a pivotal role in ensuring the successful ingestion of 500+ data sets into Snowflake, coordinating sprint-based delivery, managing cross-border teams, and maintaining high-quality communication with senior stakeholders across Data, IT, Compliance, and Change. Key Responsibilities Oversee phased ingestion of 500+ data … sources into the client's Snowflake environment Liaise between offshore engineering teams (based in Bangalore) and EU client stakeholders Monitor delivery timelines, report progress, flag risks, and ensure quality governance Work across multi-disciplinary teams including data, compliance, change, and technology Maintain momentum in delivery while ensuring stakeholder expectations are managed Support issue identification and help shape future data opportunities … partnership and potential expansion of programme scope Required Skills & Experience Proven experience as a Programme or Delivery Manager on data-centric programmes Solid understanding of data ingestion processes and Snowflake data warehousing Familiarity with AWS Glue, S3, DBT, SnapLogic, PySpark (not hands-on, but able to converse technically) Strong governance and delivery background in a data/tech environment Excellent More ❯

will be working as part of a massive integration project. Skills Required Extensive financial services background - Preferably general insurance. Integration experience is a must! Experience with AWS Hands-on Snowflake experience. Working knowledge of informatica. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome More ❯

privacy laws (e.g., GDPR, CCPA), data contracts, and data usage governance. Strong knowledge of metadata management, data cataloguing tools, and data quality practices. Working knowledge of data platforms (e.g., Snowflake, Databricks, Azure, or equivalent). Excellent relationship and stakeholder management skills - especially with product managers, legal teams, and engineering. Ability to work autonomously, manage priorities, and deliver outcomes in a More ❯