Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based More ❯
total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache More ❯
querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. More ❯
Bournemouth, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
events. Key Responsibilities: Design and build large-scale data warehouses, ETL pipelines, and reporting platforms that are robust and efficient. (MUST have experience in Snowflake and BigQuery) Utilize your expertise in backend languages; the tech stack is flexible, including Java, Python, .NET, Ruby, and more. Implement strong coding principles, including More ❯
Bournemouth, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
of migration strategies, standards, and processes. Provide mentorship and technical leadership to team members. Extensive experience as an Oracle DBA/Data Engineering Strong Snowflake, Databricks experience Exposure to Exadata Strong knowledge of Oracle Database architecture, tools, and performance tuning techniques. Proven track record with data migration methodologies and execution. More ❯
database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. About Us J.P. Morgan is a global leader in financial services More ❯
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 More ❯
to join their team and assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Uncapped More ❯
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 More ❯
database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. #J-18808-Ljbffr More ❯
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 More ❯
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 More ❯
technical and non-technical stakeholders with confidence. A hands-on, delivery-focused approach – this role is about getting things done. Experience with AZURE, AWS, Snowflake, or legacy data warehouse platforms. Knowledge of data governance or architecture principles. We are looking to move quickly on this one. Please send your profile More ❯
Social network you want to login/join with: Overview: An exciting opportunity has arisen for a SQL Database Administrator to join one of the world’s leading transportation manufacturers who specialise in providing safety and securement solutions for mobility More ❯
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 … 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 More ❯
end data engineering function – overseeing architecture, platform operations, integration strategy, and team leadership. You’ll shape the roadmap for data engineering initiatives across Azure, Snowflake, Kafka, and modern Lakehouse architectures, ensuring resilience, scalability, governance, and performance. Key Responsibilities: Lead the Data Engineering Function : Define and implement the data engineering strategy … across the enterprise. Platform Ownership : Own the full lifecycle of the data platform – ingestion, storage, transformation, governance, and access – with a focus on Azure, Snowflake, Kafka, and Data Lakes. Strategic Leadership : Shape the vision and roadmap for the data engineering function in line with business objectives, regulatory requirements, and technological … Proven experience as a Head of Data Engineering , Principal Data Engineer , or Lead Data Architect , managing large-scale data platform initiatives. Expertise in Azure , Snowflake , Kafka , and Data Lake technologies, with a strong grasp of modern architectural patterns (Lakehouse, Lambda, Kappa). Strong knowledge of data governance , security , and regulatory More ❯
Bournemouth, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
day you’ll be designing and maintaining high-quality, analysis-ready datasets that support CRM, product, and marketing teams in making informed decisions. Using Snowflake alongside tools like dbt and SQL , you’ll model data to enable segmentation, performance tracking, and personalised marketing. You will have the opportunity to work … around privacy, compliance, and governance. What You’ll Bring 3+ years working in data, analytics, or martech-adjacent engineering roles Strong skills in SQL , Snowflake , and data transformation/modelling tools (e.g. dbt) Experience integrating data from Google Analytics and HubSpot Familiarity with CDPs or event tracking platforms such as More ❯
of the Business Analytics team is to provide stakeholders across the division with accurate, interpretable, and timely analytical solutions from the central analytics platforms (Snowflake, dbt and Tableau), which in combination with high-quality commercial insight will support evidence-based operational and strategic decision making. Lead and mentor a team … Sciences Company Extensive analytics function/management experience Ability to demonstrate knowledge and understanding of Tableau, with strong SQL experience (experience with dbt and Snowflake ideal but not preferable) Confidence when collaborating with stakeholders to deliver analytical solutions is essential Comprehensive knowledge of the principles, practices, and techniques used in More ❯
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 … 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 More ❯
