skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
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 ❯
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 ❯
data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn quickly and able to work More ❯
data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn quickly and able to work 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 ❯
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 ❯
/ML platform construction. Good with artificial and machine learning systems (Google Vertex AI, Azure ML, AWS SageMaker) and contemporary data tools (BigQuery, Databricks, Snowflake, Spark). Good grasp of accountable artificial intelligence, ethics, and model explainability. Proficient in integrating artificial intelligence with API-first, microservices, and event-driven designs. More ❯
Dartford, 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. (Looking at going down Snowflake or 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 ❯
Maidstone, 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 ❯
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 ❯
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 ❯
join their team and assist with the continued scaling and optimisation of these projects. 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 assist with the continued scaling and optimisation of these. Ideal Candidate: 10+ years experience in Data Engineering/Architecture Knowledge of Data Warehousing (Snowflake, Redshift, BigQuery) Experience with ETL (Data Fabric, Data Mesh) DevOps skills (IaC, CI/CD, Containers) Leadership/Line Management experience Consulting/Client Facing 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 ❯
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 More ❯
interested in building a long-term career with the business Desirable (but not essential): Experience with ETL processes or data transformation tools Familiarity with Snowflake, Power BI, or ERP systems like Syspro Knowledge of Python or version control (Git) Awareness of data warehousing concepts This is a fantastic opportunity for More ❯
and marketing decisions. Here is what you can expect from this role: Migrate PowerBI reports and dashboards from using our SQL service databases to Snowflake Work with stakeholders to improve the usability and content of existing reports Work with Insights Analysts to build data products such as external facing reports More ❯
Chatham, England, United Kingdom Hybrid / WFH Options
Intec Select
Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to identify and resolve performance bottlenecks More ❯
Familiarity with PBI/data concepts and experience building out self-service data solutions·Extensive experience with large cloud-based data platform such as Snowflake·Proficiency in SQL Server, Kusto, Engage, and Amplitude·Proactive and detail-oriented with a proven ability to work autonomously ·Belief in the importance of documentation More ❯
