1 to 25 of 41 Remote Snowflake Jobs in Slough

Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is More ❯

tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

Data space. This role will also allow the successful individual to cross-train into modern Data Engineering tools and Technologies such as Airflow, dbt, Snowflake, as well further develop their skills Python, SQL and Market Data platforms. The firm work on a hybrid working schedule (three days per week onsite More ❯

as Looker or PowerBI. Excellent communication and stakeholder management skills. Desirable Experience: Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

Responsibilities Develop and optimize ETL/ELT processes to support data transformation and integrity for analytics. Explore and evaluate new data warehousing solutions, including Snowflake, to improve data accessibility and scalability. Partner with product and engineering teams to define data architecture and best practices for reporting. Ensure data security, compliance More ❯

Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices Bonus: DP-203 or Fabric Analytics certification highly desirable. Important: Must have the More ❯

and processes to improve reliability, data quality and consistency. Requirements: Strong experience working across a modern cloud environment, a GCP stack including BigQuery or Snowflake DWH, Fivetran and transformation in dbt. Strong skills in building dashboards and using visualisation tools such as Tableau (beneficial), Power BI or Looker. Experience in More ❯

in Computer Science, Information Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Experience of cloud technologies such as Azure, Snowflake and Terraform is advantageous Experience of knowledge of containers such as Docker and Kubernetes is advantageous Familiarity with at least one programming language (e.g. Python More ❯

definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech More ❯

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. More ❯

designs . AWS based capacity management, performance logging and monitoring solutions. AWS cost management. Your Profile: Essential skills/knowledge/experience: Experience in Snowflake, DBT, Glue, Airflow. Proficiency in architecture and building solutions to support highly available and scalable web sites, batch processes, services and API’s. Understanding of More ❯

and assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free More ❯

Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯

Proven experience in data science, machine learning, or analytics in consulting, PE, or financial services. Advanced Python and SQL skills; exposure to tools like Snowflake, Databricks, Power BI/Tableau. A commercial mindset—someone who can connect analytical output with business outcomes. Clear communicator who builds trust with senior stakeholders More ❯

and building large-scale data pipelines and infrastructure. Proficient in: Data modelling techniques AWS managed services, SQL & NoSQL databases Modern cloud data warehouses (e.g. Snowflake, Redshift, Trino) Infrastructure as Code (AWS CDK or equivalent) Strong commitment to clean code, quality, testing, and operational excellence. Comfortable working in agile teams and More ❯

their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to More ❯

events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (Looking at going down Snowflake or BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including More ❯

or software engineering/information technology. Tech-savvy : Proficiency in modern data technologies (e.g., cloud platforms, big data ecosystems, AI frameworks such as Databricks, Snowflake, BigQuery, Microsoft Fabric or similar. All-rounder : Strong knowledge of key CDO/CAIO areas such as AI/Data Governance/Quality/Management More ❯

rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at More ❯

You’ll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You Will Serve As The Go-to Engineer For End-to-end More ❯

that others might be ignoring Fluency in SQL, and the ability to query and transform large volumes (billions of rows) of data (we use Snowflake) Experience with BI tools such as Tableau or Looker, and the ability to create highly accessible, digestible visualisations and dashboards Working knowledge of ELT/ More ❯

you will need the following experience: Strong hands-on data engineering experience Previous experience managing and mentoring data engineering teams Significant experience working with Snowflake, Azure, Data Factory and Azure DevOps Strong communication and stakeholder management skills This role is almost fully remote, with quarterly workshop visits to the clients More ❯

or above from a Top Russell Group University in relevant STEM subjects Exceptional usage of AWS (Essential) Strong experience with dbt Knowledge of Snowflake (Bonus but not essential) Experience with building out data platforms Offer: Up to £90,000 DOE Hybrid Working Model (London) Private Healthcare Many other benefits **Please More ❯

with key-stakeholders Gain exposure to global scale FinTech projects Skills/Experience: 5+ years’ in a Senior Data Analyst role Strong SQL skills (Snowflake, BigQuery, Oracle etc) Strong Reporting/Visualisation skills (Looker, Tableau etc) Salary/Remuneration: Up to €55,000 + 5% Bonus Interested? Contact Brandon McCann More ❯