301 to 325 of 857 Amazon Redshift Jobs in the UK

of relevant work experience in Analytics, Business Intelligence, or Technical Operations Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker More ❯

of relevant work experience in Analytics, Business Intelligence, or Technical Operations Master in SQL, Python, and ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker More ❯

languages (e.g., Python, Bash, PowerShell) for automation and data transformation. Proficient in working with databases, data warehouses, and data lakes (e.g., SQL, NoSQL, Hadoop, Redshift). Familiarity with APIs and web services for integrating external systems and applications into orchestration workflows. Hands-on experience with data transformation and ETL More ❯

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 More ❯

of data engineering principles, ETL/ELT processes, and technologies like Apache Kafka, Spark, or Airflow. Familiarity with data storage systems (e.g., Snowflake, BigQuery, Redshift) and cloud platforms (e.g., AWS, Azure, GCP). Comfort building software that processes billions of transactions or data elements. Strong problem-solving skills and More ❯

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 More ❯

ease of downstream integration and rapid onboarding of new events or features. Data Egestion: Develop and manage data pipelines for exporting curated datasets from Redshift to platforms like Salesforce and Gainsight using reverse ETL tools (e.g., Hightouch). Data Ingestion: Own end-to-end responsibility for ingesting key productivity More ❯

data engineering and systems development Expertise in web application backends (Python/Flask/Django or Node.js) Experience with columnar database systems like BigQuery, Redshift, DuckDB, etc Comfortable working in a git-based team environment with collaborative development practices Debugging skills across multiple layers of a system (source data More ❯

platforms that you are likely to come across at Tasman are: AWS, GCP and Azure cloud environments; Airflow and Prefect; Snowflake, BigQuery, Athena, and Redshift; Airbyte, Stitch, Fivetran, and Meltano; dbt (both Cloud and Core); Looker, Metabase, Tableau and Hollistics; Docker and Kubernetes; Snowplow, Segment, Rudderstack, and mParticle; Metaplane More ❯

business growth. Responsibilities: Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes to load data into AWS for analysis. Apply statistical and machine learning … techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to find trends and insights for product and user engagement improvements. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or … master's degree in related fields. Experience as a Data Scientist, especially with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, warehousing. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL More ❯

data-driven solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for … analysis and pattern recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to uncover insights. Collaborate with data engineers on data architecture and governance in AWS. Requirements: Bachelor's or master's degree in relevant fields. Experience as a Data Scientist, preferably with More ❯

to social media opportunities. Responsibilities: Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading into AWS. Apply statistical and machine … learning techniques for predictive and segmentation analyses. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's degree in Computer Science More ❯

Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the More ❯

develop data-driven solutions to support business growth. Responsibilities Understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes. Apply statistical and machine learning techniques for predictive and pattern … master's in Computer Science, Statistics, Mathematics, or related field. Experience as a Data Scientist, preferably with AWS analytics. Proficiency in AWS services like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and warehousing concepts. Skills in statistical analysis, data mining, machine learning. Programming skills in Python, R More ❯

applying machine learning techniques, creating dashboards, and optimizing data architecture. Responsibilities: Understand business objectives and define analytics goals. Develop strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes. Apply statistical and machine learning techniques for analysis. Create dashboards and KPIs More ❯

growth. Responsibilities Collaborate with teams to understand objectives, define data requirements, and set analytics goals. Develop and implement analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for diverse data sources. Apply statistical and machine learning techniques for predictive More ❯

cloud data services. Ensure data accuracy, integrity, and security within cloud environments. Key Skills & Experience: Proficiency in SQL and cloud data warehousing solutions (e.g., Amazon Redshift, Google BigQuery). Experience with cloud BI tools (e.g., Power BI, Tableau, Looker). Strong analytical and problem-solving skills focused on More ❯

data models, data mining and segmentation techniques You have coding skills with Python (or C#) and SQL You have experience with SQL databases (e.g. Amazon Redshift, PostgreSQL) You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis) You have strong analysis and problem solving skills You're More ❯

in at least one scripting language (e.g., Python, JavaScript) is highly preferred. Hands-on experience with modern cloud data platforms such as Snowflake, Databricks, Amazon Redshift, Google BigQuery or similar. Familiarity with Business Intelligence and data visualization tools (e.g., ThoughtSpot, Tableau, Power BI, Looker, MicroStrategy). Exceptional ability More ❯

and insights to support decision-making. Collaborate with Data Engineering and Analytics teams to improve data sources and processes. Experience Requirements: Data analysis with Redshift, Oracle, NoSQL, etc. Data visualization skills with Tableau, Quicksight, or similar. Data modeling, warehousing, and ETL pipeline development. Statistical analysis with R, SAS, Matlab. More ❯

organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data systems. To succeed, you’ll More ❯

organizations. Expect variety – you’ll work across cloud platforms like Azure, AWS, and GCP, leveraging tools such as Databricks, Data Factory, Synapse, Kafka, Glue, Redshift, BigQuery, and more. About You You’re an engineer at heart, with a passion for building efficient, scalable data systems. To succeed, you’ll More ❯

years in the insurance industry . Strong understanding of London Market and specialty insurance operations and data flows. Proven experience with AWS (S3, Glue, Redshift, Lambda, etc.), Databricks , and Snowflake . Expertise in building and optimizing medallion architecture . Solid knowledge of data governance , security , and compliance frameworks. Experience More ❯

years in the insurance industry . Strong understanding of London Market and specialty insurance operations and data flows. Proven experience with AWS (S3, Glue, Redshift, Lambda, etc.), Databricks , and Snowflake . Expertise in building and optimizing medallion architecture . Solid knowledge of data governance , security , and compliance frameworks. Experience More ❯

kits (APIs). Optimise performance, data storage and retrieval processes for efficiency and scalability. Ensure the data lake and Online Analytical Processing DB (OLAP - Redshift or similar) is able to handle large volumes and highly concurrent data acess. Ensure data quality, security, and compliance with industry standards. Requirements: Proven More ❯