226 to 250 of 475 Snowflake Jobs

meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack. Collaborate seamlessly across diverse technical stacks, including Databricks, Snowflake, etc. Developing various components in Python as part of a unified data pipeline framework. Contributing towards the establishment of best practices for the optimal and efficient usage of data across … as Pandas, NumPy, PySpark, etc. 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines 3+ years of proficiency in working with Snowflake or similar cloud-based data warehousing solutions 3+ years of experience in data development and solutions in highly complex data environments with large data volumes. Solid understanding of ETL principles More ❯

Minimum 5 years of working experience in data engineering. An excellent understanding of databases and SQL. Possess excellent written and oral communication skills. Essential Commercial experience of: Data warehousing Snowflake Python, SQL JSON, XML MySQL MSSQL Server AWS Glue Understanding of testing strategies Understanding of Agile methodologies. Desirable Experience of ELT tools like Fivetran/Kleene/DBT Experience using More ❯

Data Engineer (AI-Driven SaaS plaform) (Python, Snowflake, Data Modelling, ETL/ELT, Apache Airflow, Kafka, AWS) Large-scale data environment Up to £70,000 plus benefits FULLY REMOTE UK Are you a Data Engineering enthusiast who thrives from designing and implementing robust ETL processes, highly scalable data structures and data pipelines within a truly enterprise-scale data processing environment … have a robust Infrastructure background and a good understanding of the different complexities that come when moving one system to another. Lets talk tech. The platform integrates Python and Snowflake and you'll need a deep understanding of SQL and NoSQL databases (MongoDB or similar!) You'll also have exposure with streaming platforms like Apache Kafka and be able to … develop and maintain ELT and essentially bring a solid understanding of data warehousing concepts and best practice. Essentially, a strong Data Engineer who is a Snowflake enthusiast who can write solid SQL queries, within Snowflake! You will understanding Apache Kafka to a high standard and have solid knowledge of Apache Airflow - from a Cloud perspective, good AWS exposure. Naturally you More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

and AI consultancy. Our client is expanding their Databricks practice and needs multiple specialists to join this high-impact initiative. 🎯 DATABRICKS TEAM ROLES: Senior Data Engineering Consultant - Databricks/Snowflake focus Senior ML Engineer - Databricks specialisation (MLOps) Senior Platform Engineer - Databricks deployment expert Senior Databricks ML Engineer - Premium specialist role 🏢 Join a Dedicated Databricks Centre of Excellence: You'll be More ❯

their reporting infrastructure. Project Overview Reporting Migration : Converting a large suite of SQL extract-to-Excel reports into Power BI dashboards/Reports. Platform : New solution hosted on AWS Snowflake , with fully cleansed and structured data. Approach : Initial focus on replicating existing report outputs in Power BI, with scope for service improvement and optimisation. Complex Reports : May require custom SQL More ❯

their reporting infrastructure. Project Overview Reporting Migration : Converting a large suite of SQL extract-to-Excel reports into Power BI dashboards/Reports. Platform : New solution hosted on AWS Snowflake , with fully cleansed and structured data. Approach : Initial focus on replicating existing report outputs in Power BI, with scope for service improvement and optimisation. Complex Reports : May require custom SQL More ❯

go-to analytics contact for UK stakeholders across Marketing, Commercial and Product teams Translate business challenges into clear analytical projects with measurable impact Work with large-scale cloud data (Snowflake) using SQL and Python Help shape the broader analytics roadmap and drive team-wide best practices Contribute to recruitment, onboarding, and team structure planning WHAT THEY’RE LOOKING FOR: Strong More ❯

go-to analytics contact for UK stakeholders across Marketing, Commercial and Product teams Translate business challenges into clear analytical projects with measurable impact Work with large-scale cloud data (Snowflake) using SQL and Python Help shape the broader analytics roadmap and drive team-wide best practices Contribute to recruitment, onboarding, and team structure planning WHAT THEY’RE LOOKING FOR: Strong More ❯

systems, using tools such as Datadog, Grafana, Prometheus Experience designing tight SLO (>0.99) workflows on scheduling systems at scale (e.g. AirFlow) Expert-level programmer in Python, Pandas and SQL (Snowflake and Postgres) Superb code-review skills and strong instincts on how to write robust, maintainable, and generalizable code Nice to have, but not required Parallel computing patterns (multiprocessing, threading) experience More ❯

real-time data capabilities to better understand and predict user behaviour Supporting a data function embedded within the tech team - directly influencing architecture and systems decisions Tech Environment: AWS, Snowflake, Python, Airflow Docker, Fivetran, Looker Real-time streaming technologies are a bonus What We're Looking For: Proven experience managing or mentoring Engineers (either as a Lead or in a More ❯

mindset Experience of running 1-2-1 meetings and yearly reviews with team members Strong background in hands on software engineering role (e.g., .NET engineer) Experience with MS SQL, Snowflake or equivalent SQL database technology Experience in Continuous Delivery (CI/CD) best practices Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature tests) Experience in More ❯

depth knowledge of S/4 HANA vs ECC differences in FI/CO modules. Experience with analytics tools and data platforms such as PowerBI, Qlik, Azure Data Lake, Snowflake, SAP B4H, and SAP Analytics Cloud. Bachelor's or Master's degree in Finance or Accounting. What you'll get in return The role offers a competitive day rate, in More ❯

discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists, ML researchers More ❯

building, debugging, and optimizing APIs, distributed systems, and/or data pipelines. Experience with modern technologies and frameworks including FastAPI, PydanticAI, Haystack AI, OpenTelemetry, Procrastinate, databases like Postgres and Snowflake, queue systems such as SQS/Kafka, and Airflow. Hands-on experience with Kubernetes, including orchestration and lifecycle maintenance; you are not an SRE but you know how things run More ❯

focused team to ensure successful implementation. Essential Skills Proficient in Python, with familiarity with legacy code bases in VBA and SQL. Strong understanding of cloud-based data ecosystems, including Snowflake, Databricks, and the Azure software stack. Deep knowledge of front and middle office processes within asset management. Solid understanding of financial instruments, trade lifecycle events, and high-level strategic thinking More ❯

to: o Relational Databases such as SQL Server, Oracle DB, IBM DB o Non-Relational Databases such as MongoDB, Redis o Data Warehouse and Data Lake tools such as Snowflake, Hadoop o File servers, NAS, Isilon, Cloud Drives • Ability to work collaboratively with key stakeholders (Data & Analytics group, Data Strategy & Management team, Access, Network and Security Architects, various Security Engineers More ❯

one programming and/or scripting language (Go, Python or Bash). Skilledin presentation and documentation. Troubleshootingand analytical skills. Time and project management skills. BONUS POINTS Experience with databases (Snowflake, MariaDB, Galera, MySQL) Experience with infrastructure and application security Experience with disaster recovery planning and implementation Experience working within Agile development environments Familiar/experience with AI/ML platforms More ❯

your stakeholder relationships - you also break down jargon to fit your audience needs You're excited about getting into the details of technology & automation solutions Any knowledge of Salesforce, Snowflake, G Suite, Google App Script, Excel programming, and Robotic Process Automation (RPA) would be desirable (not essential) Any knowledge of AWS would be desirable (not essential) Where and how you More ❯

in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via APIs Familiarity with data visualization tools Knowledge of locating, assessing and integrating third party data-sets Experience with machine learning More ❯

Hightouch AEs throughout the customer journey, delivering tailored demonstrations and customer POCs based on agreed-upon requirements. Develop deep technical domain expertise in Data Activation, CDP, data warehousing (e.g., Snowflake, BigQuery, Databricks), and integration platforms, with a focus on Enterprise use cases across various industries within EMEA, including financial services, retail, SaaS, and similar enterprises. Be accountable for the exceptional More ❯

disciplinary teams Have interest or experience with key Technology Platforms across AI solutions (OpenAI, AWS), Cloud (Azure, AWS, Google), Supply Chain (O9, BlueYonder, Kinaxis), CRM (Dynamics, Salesforce), Data (Palantir, Snowflake), ERP (SAP S4) or others. Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Keen to explore how emerging technologies can be leveraged More ❯

technology stack including: Object-Oriented design SOLID principles and modern design patterns Full stack development experience including Front-end JavaScript frameworks like Angular & React Databases and EDW technology like Snowflake SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, exposure to Mulesoft/Kong is a plus On-premise/cloud-based infrastructures, SDLC pipelines, and deployments/ More ❯

taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. More ❯

taxonomies, maturity assessments and alignment of gaps to enabling technology solutions Appreciation/Experience in designing and governing data platform architectures (e.g. broad understanding of Informatica, Collibra, Ab Initio, Snowflake, Databricks) Appreciation of and interest in attaining end-to-end data skills e.g., data quality, metadata, data-mesh, data security, privacy & compliance Experience with Enterprise/platform/application (e.g. More ❯