Brighton, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
and build robust, scalable data pipelines and analytics platforms that empower business teams to unlock insights through self-service tools. You’ll work with modern cloud-native tools like Snowflake, Databricks, Python, and advanced visualisation platforms to create solutions that drive measurable business outcomes. Key Responsibilities Develop Scalable Data Pipelines : Design and implement ETL/ELT workflows using Python, SQL …/ELT pipelines with Python, SQL, or tools like Apache Airflow, and expertise in visualisation tools (Power BI, Tableau, or Looker). Cloud Expertise : Familiarity with cloud platforms like Snowflake, Databricks, or AWS/GCP/Azure for scalable data solutions. Data Modelling Mastery : Strong understanding of dimensional and relational modelling techniques for analytics use cases. Stakeholder Engagement : Excellent communication More ❯
Contract Data Solution Architect (Azure Data Stack, Snowflake) Up to £600 per day outside IR35 Initial 6 months leading to a 12-month engagement Hybrid (1 day/week in Brighton) Start Date: ASAP We’re currently seeking an experienced Contract Data Solution Architect (Azure Data Stack, Snowflake) for a global consultancy to work on a large transformation programme with … design robust, scalable, and repeatable data processes Broad understanding of networking and software architecture Experience delivering data solutions at enterprise scale Strong understanding of Data Engineering principles Key Technologies: Snowflake – hands-on expertise in data modelling and best practices Microsoft Azure Data Stack , including: Azure Data Factory Azure Data Lake Storage Azure SQL Azure ML Power BI Experience automating CI …/CD pipelines across Snowflake, Power BI, and the Azure stack Knowledge of Data Science, Analytics, and Reporting Design Understanding of Operational vs MI data (real-time vs aged data) and related modelling/reporting strategies Familiarity with Data Governance concepts: Data Quality & Management Data Lineage & Lifecycle Data Security Desirable Attributes: Awareness of emerging data technologies and industry best practices More ❯
Brighton, England, United Kingdom Hybrid / WFH Options
Rittman Analytics
goals. What We're Looking For Must Haves Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Awareness More ❯
offs, collaborative design, and proactive roadmap planning, with an openness to exploring innovative solutions like generative AI where appropriate. We work with an Airflow/AWS/Fivetran/Snowflake/Looker stack and typically use Python and Docker in our pipelines. You’ll need to be highly proficient in these or similar tools and comfortable navigating a modern data … the full data lifecycle and ELT patterns Comfortable evaluating both business and technical requirements Skilled at working with large datasets and optimising data flows Experience with Airflow, AWS, Fivetran, Snowflake, Docker (or similar) Strong in Python, SQL, and cloud platforms (AWS or comparable) Experienced in handling real-time data pipelines Experienced in evolving data pipelines over time to meet new 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 ❯
in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing its impact on deliverables. Familiarity More ❯
assist with the continued scaling and optimisation of these. Their ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: 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 would be offering Free Certification More ❯
analysis projects and shape strategy A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams A problem-solver with a More ❯
logic Exceptional time management skills and the ability to juggle multiple priorities You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting tools like Tableau and Power More ❯
and build the capabilities that will define the data-driven future of a business with a 300-year heritage. With a clear plan and the technology in place (InvestCloud, Snowflake, Alteryx, and Power BI) it’s the ideal setting to show how your data leadership skills can transform business performance and client outcomes. Reporting to the Group Data & Analytics Director … manager for each area, who’ll look to you for direction and coaching. Leading on data engineering to ensure high-quality, accessible data; designing and protecting data pipelines (e.g. Snowflake). Implementing data governance frameworks, ensuring regulatory and security compliance; embedding the principles across the business, and managing emerging risks. Providing strategic insight and recommendations to the COO and leadership More ❯