26 to 50 of 231 Snowflake Jobs

into SQL, Python, and occasionally Groovy. Strong foundations in Object-Oriented Design, SOLID principles, and CI/CD are essential. As we transition significant portions of our architecture to Snowflake, your expertise in SQL will be critical. This is an opportunity to influence the future of our data platform while setting engineering standards others aspire to. Role Responsibilities Design, develop More ❯

You may be a great fit if you have experience with any of the following... Workflow orchestration tooling (e.g. Prefect, Airflow, Dagster) Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift) Data transformation tools (e.g. dbt) and data quality frameworks (e.g. Great Expectations) Backend Python frameworks (e.g. Django, FastAPI, Flask) for API development Modern data processing libraries (e.g. Polars, DuckDB More ❯

Snowflake Developer We're looking for a skilled and passionate Snowflake Developer to join our team in a permanent, full-time capacity. This is a hybrid role based in Manchester , requiring you to be in the office 3 days a week . About the Role Job Title: Snowflake Developer Location: ManchesterDuration: 4 Days a WeekJob Type: Permanent/FTE As … a Snowflake Developer, you'll be a key player in designing, developing, and maintaining our data solutions. You'll work with cutting-edge technologies, leveraging your expertise in Snowflake to build robust and scalable data pipelines and architectures. This role is perfect for someone who is a self-starter , a collaborator , and is eager to learn and adapt to new … technologies. We're seeking a positive , proactive , and pro-team individual who can manage relationships with stakeholders and product owners effectively. Key Responsibilities and Requirements Mandatory Skills Snowflake & ANSI-SQL: Possess a deep understanding of Snowflake's architecture and internals, including roles, dynamic tables, streams, and tasks. You'll need excellent skills in writing complex SQL queries. Data Modeling: Extensive More ❯

Snowflake Developer We're looking for a skilled and passionate Snowflake Developer to join our team in a permanent, full-time capacity. This is a hybrid role based in Manchester , requiring you to be in the office 3 days a week . About the Role Job Title: Snowflake Developer Location: Manchester Duration: 4 Days a Week Job Type: Permanent/… FTE As a Snowflake Developer, you'll be a key player in designing, developing, and maintaining our data solutions. You'll work with cutting-edge technologies, leveraging your expertise in Snowflake to build robust and scalable data pipelines and architectures. This role is perfect for someone who is a self-starter , a collaborator , and is eager to learn and adapt … to new technologies. We're seeking a positive , proactive , and pro-team individual who can manage relationships with stakeholders and product owners effectively. Key Responsibilities and Requirements Mandatory Skills Snowflake & ANSI-SQL: Possess a deep understanding of Snowflake's architecture and internals, including roles, dynamic tables, streams, and tasks. You'll need excellent skills in writing complex SQL queries. Data More ❯

health/healthcare dataset or similar experience, including PHI/PII handling. Familiarity with SAS and R workflows to support epidemiologists and analysts. Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery). Familiarity with data quality frameworks (Great Expectations, Deequ). Experience with real-time/streaming tools (Kafka, Spark Streaming). Familiarity with big data frameworks for large More ❯

able to work with different tools and technologies, depending on the client and project needs but will ideally possess strength in some or all of: MS Fabric stack Databricks Snowflake Azure/AWS SQL Tableau/Power BI A general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar More ❯

player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). Familiarity with data orchestration tools (e.g., Airflow). Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). Exposure to CI/CD pipelines More ❯

player - Collaborative, curious, and happy to work in a self-organising, fast-paced environment. Nice-to-Have Skills: ·Experience with GCP/BigQuery or other cloud data warehouses (e.g., Snowflake, Redshift). ·Familiarity with data orchestration tools (e.g., Airflow). ·Experience with data visualisation platforms (such as Preset.io/Apache Superset or other). ·Exposure to CI/CD pipelines More ❯

experience 5+ years Commercial tech sales support R&D IT OR Data & Informatics Data Modeling: Understand logical, physical, and conceptual data models. Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL databases (like Redshift and Databricks). Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions. Cloud Platforms: Experience with cloud providers mainly AWS especially their More ❯

team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises More ❯

including data wrangling, analysis, and visualization. Solid experience with SQL and database querying for data exploration and preparation. Familiarity with cloud platforms (AWS, Azure, ) and modern data stack tools (Snowflake, Databricks, ) Proven ability to tackle ambiguous problems, develop data informed strategies, and define measurable success criteria. Familiarity with object oriented or functional programming languages such as C++ , Java , or Rust More ❯

source system connectors via Azure Data Factory. SQL and Python programming skills, along with a good understanding of Machine Learning techniques Experience using data platforms such as Databricks and Snowflake Experience of scripting languages such as Javascript, R, Powershell or VBScript In this role you will: Lead a team of analysts & engineers building and deploying innovative, scalable solutions for clients. More ❯

tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices. Data architecture principles; data warehouses (Snowflake preferred); and API integrations. Familiarity with: Machine learning and statistical modeling techniques. Project management tools and UAT processes. Other required skills: Excellent oral and written communication skills, including presentation, training More ❯

based applications Hands-on experience with cloud data platforms (AWS/GCP/Azure) Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms) Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes Knowledge of containerization (Docker/Kubernetes) and infrastructure as code Preferred Experience Experience building web applications with modern frameworks (React, Vue, or Angular) API development More ❯

years in commercial analytics, ideally with marketing or customer analytics exposure. Strong SQL skills with experience in dbt or similar modelling frameworks. Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.). Skilled in dashboarding tools (Looker, Power BI, etc.). Comfortable working with Marketing/User Acquisition teams. Understanding of advertising platform constraints (Meta, Google, mobile tracking). More ❯

building long-term client relationships is a must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. More ❯

data concepts into business language. Demonstrated ability to lead client discussions, influence decisions, and build trusted advisor relationships. Preferred: Experience with additional cloud platforms (Azure, GCP) or data technologies (Snowflake, Databricks, Redshift, etc.). Familiarity with data governance, data quality frameworks, and metadata management tools. Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect. 3rd party More ❯

data quality, master data, reference data, metadata, retention, and ownership. Hands-on exposure to at least one modern data and analytics platform (e.g. Azure Data Platform, SQL Server, Oracle, Snowflake, SAP BW/HANA, or similar). Comfortable working with integration patterns (APIs, ETL/ELT, streaming) and collaborating closely with Integration Architects. Able to explain data concepts clearly to More ❯

internal teams. Develop agentic AI systems that automate complex workflows (e.g., pipeline forecasting, knowledge retrieval, reporting, customer engagement). Engineer data pipelines and integrations with enterprise SaaS platforms (Salesforce, Snowflake, Looker, Jira, Slack, etc.). Leverage GCP or AWS cloud infrastructure to deploy scalable, secure, and cost-efficient solutions. Partner with GTM stakeholders to identify and prioritize high-value problems More ❯

tick all of these areas: Knowledge and interest in financial services and products Proven background of working in an analytical role Experience working with cloud data platforms such as Snowflake, Google (Big Query), AWS (Redshift), Azure or others Fluent in SQL Expert in data manipulation and analysis to provide actionable insights through data storytelling Experience using data analysis languages like More ❯

Exposure to DevOps practices and tools (CI/CD, automation). Familiarity with Data/ETL tools such Microsoft Azure and Microsoft Fabric. Knowledge of Cloud-native development: Azure, Snowflake, ADF (Azure Data Factory) and DBT (Data Build Tool) for modular SQL development. Autosys scheduling and Ab Initio for ETL and batch processing as well as Markit EDM. Understanding of More ❯

Azure: Data Factory, Synapse, Databricks, ADLS GCP: BigQuery, Dataflow, Pub/Sub Experience with Data Warehouse/Data Lake/Lakehouse design and modeling (Kimball, OLAP, OLTP, Star/Snowflake schemas Proficiency in CI/CD, Git, Docker, Kubernetes, Airflow or similar orchestration tools. Knowledge of data governance, security, metadata management, and data quality frameworks. Nice to Have Experience with … Databricks/Snowflake/Delta Lake. Exposure to ML pipelines, MLOps, and real-time streaming data processing. Experience in designing scalable solutions for enterprise-level environments. Education Bachelor's or Master's degree in Computer Science, Engineering, or related field. More ❯

with Coupa, SAP, and enterprise platforms CI/CD (Git, Azure DevOps), Unix/Linux scripting Data warehousing, dimensional modeling, big data processing Preferred Skills: IBM DataStage Power BI, Snowflake, Apache Spark Azure certifications (DP-203 preferred) Experience with REST/SOAP APIs Kindly share the best and most qualified resumes at the earliest. Equal opportunity Employer We are an More ❯

the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in financial services and/or risk data More ❯

Kimball modelling Strong data storytelling and design skills Proven experience in data manipulation, mining, and validation Confident SQL skills Experience with Azure or AWS Understanding of data warehousing, ideally Snowflake or Data Factory PL-300 certification or close to completion Analytical Skills Professional experience in an analytics role Strong logical problem-solving and critical thinking skills Ability to tackle complex More ❯