1 to 25 of 31 Snowflake Jobs in Manchester

with cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

Optimise data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Requirements Bachelors degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python (or another scripting More ❯

testing including unit, performance, stress, and security testing.Experience working in an agile team.Experience working in a highly regulated industry and with highly sensitive data.Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.Experience in data science using R, Stata, or Python.Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket.Understanding of clinical trials, GCP, and GxP.What More ❯

performance, stress, and security testing. Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials More ❯

for large-scale platforms and diverse stakeholder groups Strong data modelling skills across OLTP and OLAP systems, with experience building datamarts and warehouses Proficiency with cloud-native tools (e.g. Snowflake, Databricks, Azure Data Services, etc.) High-level SQL skills and experience with tools like SSMS, SSIS, or SSRS Strong understanding of data governance, RBAC, and information security practices Able to More ❯

Visualise insights via tools like Power BI or Tableau Support integration testing and third-party specifications What you’ll bring: Strong background in data architecture and cloud platforms (e.g. Snowflake, Databricks) Cloud experience with AWS, Azure or GCP Excellent SQL and data modelling skills (data lakes, warehousing, OLTP/OLAP) Experience with access control, data migration and data governance Proficient More ❯

Visualise insights via tools like Power BI or Tableau Support integration testing and third-party specifications What you'll bring: Strong background in data architecture and cloud platforms (e.g. Snowflake, Databricks) Cloud experience with AWS, Azure or GCP Excellent SQL and data modelling skills (data lakes, warehousing, OLTP/OLAP) Experience with access control, data migration and data governance Proficient More ❯

concepts to a wide variety of audiences. For candidates applying for the Senior Consultant role, we additionally require: Working experience with at least one Cloud Platform (AWS, Azure, GCP, Snowflake, Databricks etc.) and exposure to Cloud Architecture principles. Demonstrated experience in people management, product owner or workstream management. Experience supporting and participating in the commercial cycle, including defining project scope More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

to a culture of technical excellence Requirements: Proven experience in a Lead or Senior Data Engineering role Strong hands-on expertise with AWS (Glue, Lambda, S3) Deep experience with Snowflake as a data warehouse. Proficiency in Python or Scala for data processing Excellent communication and stakeholder management skills Preferably some experience with Terraform and dbt (although these are not essential More ❯

advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as Tableau or Power BI Proven track record of developing and implementing machine learning models in a business context Strong analytical and problem-solving More ❯

You will manage the full data lifecycle, including data extraction, transformation, and loading. SKILLS AND EXPERIENCE SQL Cloud Service - Azure, AWS or GCP Financial services. NICE TO HAVE Python Snowflake APPLY Send an email to riversteytler@harnham.com or apply below to register your interest. More ❯

setting using Bicep.- Understanding of DevOps practices.- Skill in database testing; unit, performance, stress, security.- Experience in agile teams and highly regulated industries.- Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks.- Data science experience using R, Stata, or Python.- Familiarity with Atlassian tools; JIRA, Confluence, BitBucket.- Understanding of clinical trials, GCP, and GxP.Personal Attributes More ❯

Snowflake Developer - Manchester | £70,000 + Benefits | Hybrid (3 Days On-Site) | Permanent Sector: Consulting | End Client: Leading Banking Group A leading consulting firm is hiring a Snowflake Developer to work on high-impact projects within the banking sector. You'll join a collaborative data team, delivering cloud-based solutions for a major financial services client. Location: Manchester (3 days … on-site) Salary: Up to £70,000 + excellent benefits Type: Permanent Key Responsibilities Build and maintain Snowflake-based data platforms. Collaborate with product owners and stakeholders to gather requirements and deliver scalable solutions. Ensure best practices in data modelling, governance, and architecture are applied across projects. Essential Skills Strong knowledge of cloud computing and Snowflake architecture. Proficient in SQL … ANSI-SQL). Solid experience with data models: Dimensional, ER, and Data Vault. Strong working knowledge of Snowflake internals (roles, dynamic tables, streams, tasks, policies). Hands-on experience with Python, GitLab, and Snowpark container services. Exposure to data science, machine learning, data governance, and data management. Proven track record in data-centric project delivery. Confident stakeholder management and communication More ❯

Snowflake Developer - Manchester | £70,000 + Benefits | Hybrid (3 Days On-Site) | Permanent Sector: Consulting | End Client: Leading Banking Group A leading consulting firm is hiring a Snowflake Developer to work on high-impact projects within the banking sector. You'll join a collaborative data team, delivering cloud-based solutions for a major financial services client. Location: Manchester (3 days … on-site) Salary: Up to £70,000 + excellent benefits Type: Permanent Key Responsibilities Build and maintain Snowflake-based data platforms. Collaborate with product owners and stakeholders to gather requirements and deliver scalable solutions. Ensure best practices in data modelling, governance, and architecture are applied across projects. Essential Skills Strong knowledge of cloud computing and Snowflake architecture. Proficient in SQL … ANSI-SQL). Solid experience with data models: Dimensional, ER, and Data Vault. Strong working knowledge of Snowflake internals (roles, dynamic tables, streams, tasks, policies). Hands-on experience with Python, GitLab, and Snowpark container services. Exposure to data science, machine learning, data governance, and data management. Proven track record in data-centric project delivery. Confident stakeholder management and communication More ❯

with the ability to pivot strategies in response to innovative technologies, insights, or regulatory developments. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Snowflake, Spark). Strong communication skills, with the ability to distill complex data concepts into clear messages for non-technical stakeholders. Excellent stakeholder management and cross-functional collaboration skills, with the More ❯

to analyse, synthesise and translate complex issues. Tools & frameworks : In-depth understanding of Agile delivery and familiarity with data visualization tools such as PowerBI to support strategic decision-making. Snowflake experience preferred. How we look after our employees Our brand new "PXC Flex" benefit launched in January 2025, which includes Flex30, an additional 30 hours of leave every year for 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 ❯

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 ❯

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 ❯

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 ❯

such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯

such as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing More ❯

Employer description: Matillion is a fast-growing, cloud-native data integration and transformation company, enabling businesses to build and scale data pipelines across platforms like Snowflake, BigQuery, Redshift, Databricks, and Synapse. With global offices we support leading brands like Cisco, Slack, and TUI in turning data into actionable insight. Recognized as a great place to work in both the UK More ❯