with Security and Compliance teams to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data streaming. Contribute to the development … dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance … complex data concepts into business-friendly language. Ability to lead technical discussions and influence data-driven decision making across teams. Certifications such as Microsoft Certified: Azure Data Engineer Associate , Snowflake Architect , or CDMP are highly desirable. Why join us? We're on a journey to become market leaders in our space - and with that comes some incredible opportunities. Collaborate and More ❯
Key Requirements: Strong experience with 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 a plus Benefits: Join a More ❯
of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will … Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯
of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will … Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯
of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will … Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯
of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will … Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯
of £85,000 + a strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered for this role you will … Experience designing, improving and maintaining robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure Data Factory and Azure DevOps More ❯
be at the forefront of 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 design and develop ETL/ More ❯
leading and management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity More ❯
Newbury, Berkshire, United Kingdom Hybrid / WFH Options
Intuita - Vacancies
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 ❯
and Agile methodologies, Infrastructure-as-Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES REQUIRED FOR More ❯
and Agile methodologies, Infrastructure-as-Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid deployments. KEY COMPETENCIES REQUIRED FOR More ❯
aim is to transition the business from its current landscape of bespoke, custom-built systems to more modern, streamlined solutions - such as the implementation of ServiceNow and a new Snowflake data warehouse. Due to the technical nature of the role, a strong understanding of data structures and data modelling is key, and hands-on skills in SQL would be a More ❯
Oxford, Oxfordshire, South East, United Kingdom Hybrid / WFH Options
Connexa
and the ability to connect technical data concepts with strategic business outcomes. Hands-on expertise in business intelligence tools (such as Power BI), cloud-based data platforms (e.g. Azure, Snowflake), and SQL. Strong understanding of data governance best practices, with experience building data frameworks that scale. Experience working with Agile methodologies and cross-functional teams including Marketing, Digital, and IT. More ❯
the end-to-end data strategy, optimising infrastructure, reporting and decision analytics. Role overview: In this hands-on role, you will develop and maintain a modern data infrastructure, including Snowflake data lake, Informatica for MDM & DQ and Power BI. Ensure infrastructure is scalable and data quality is maximised in line with DAMA’s framework Partner with the CFO and Director … organisation. Extensive knowledge of data governance, quality, and master data management (MDM) frameworks, including DAMA principles (DAMA-DMBOK). Hands-on technical ability across a modern data architecture, including Snowflake, Power BI and Informatica, or another ELT toolset (E.g., Talend, Fivetran). Experience implementing a data strategy and data governance frameworks. If this seems of interest or you know someone More ❯
the end-to-end data strategy, optimising infrastructure, reporting and decision analytics. Role overview: In this hands-on role, you will develop and maintain a modern data infrastructure, including Snowflake data lake, Informatica for MDM & DQ and Power BI. Ensure infrastructure is scalable and data quality is maximised in line with DAMA’s framework Partner with the CFO and Director … organisation. Extensive knowledge of data governance, quality, and master data management (MDM) frameworks, including DAMA principles (DAMA-DMBOK). Hands-on technical ability across a modern data architecture, including Snowflake, Power BI and Informatica, or another ELT toolset (E.g., Talend, Fivetran). Experience implementing a data strategy and data governance frameworks. If this seems of interest or you know someone More ❯
patterns for LLMs, NLP, MLOps, RAG, APIs, and real-time data integration Strong background in working with cloud platforms (GCP, AWS, Azure) and big data technologies (e.g., Kafka, Spark, Snowflake, Databricks) Demonstrated ability to work across matrixed organizations and partner effectively with IT, security, and business stakeholders Experience collaborating with third-party tech providers and managing outsourced solution development Excellent More ❯
Newbury, Berkshire, United Kingdom Hybrid / WFH Options
Intuita Consulting
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 ❯
years of experience to join a new project in Warwick. Responsibilities: Knowledge of Azure and SQL Debugging skills Knowledge of Azure Data Factory (ADF) Profile: Expert level in ADF Snowflake Databricks Python More ❯
stakeholders across diverse technical and business teams. Candidate Requirements/Profile: Significant enterprise architecture experience in insurance environments. Expertise in application integrations, APIs, and architectural frameworks. Knowledge of Oracle, Snowflake, data lakes, and extensive data warehouses. Strong skills in security, risk management, and compliance. Excellent stakeholder communication and engagement capabilities. Onsite attendance three times weekly at the client's City More ❯
Familiarity with Cloud Development Kit (CDK) and GitOps •Experience operating in a DevOps/agile team environment •Understanding of docker, Kubernetes, serverless architecture, and Helm •Exposure to platforms like Snowflake, MongoDB, Terraform Cloud, GitHub, and Databricks •Strong analytical skills, diligence, and attention to detail •Willingness to conduct research using vendor documentation •Capability to create and maintain high-quality documentation •Possession More ❯