26 to 50 of 71 Amazon Redshift Jobs in England

fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate ...

communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...

machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP • Development experience within secure or classified environments particularly where ...

experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with ...

Data Factory), plus experience implementing CI/CD for data; knowledge of Informatica tools is beneficial. Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake, along with strong SQL capability and working knowledge of Python/PySpark. Ability to synthesise complex business and technical ...

Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps ...

Power BI). Design and implement ETL pipelines and optimized enterprise data models . Manage cloud data modernization programs , including source migrations (e.g., Amazon Redshift to Databricks). Visualization & Analytics Solutions Architect and deliver Power BI–based analytics solutions leveraging reusable semantic models. Enable self‐service analytics while ...

following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify ...

following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify ...

Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate ...

frameworks. Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake. Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns. Preferred Qualifications, Capabilities, and Skills Experience navigating complex data governance, security ...

reliability, observability, and operational excellence Data & Analytics Awareness: Strong understanding of datamodellingconceptssuch ascanonicalmodelsand dimensional models Experience working alongside modern data platforms (e.g. Snowflake,BigQuery, Redshift) Ability to reason aboutData lineage and traceability,Reconciliationand variance analysis,Backfills and historical corrections Platform & Operations: Experience with CI/CD pipelines andInfrastructure asCode ...

Essential Skills & Experience Active SC Clearance (must already be held) Strong hands-on experience with core AWS data services , including: AWS Glue Lambda S3 Redshift Strong programming skills in Python Solid working knowledge of SQL Experience with data warehouse and database technologies , including AWS Redshift ...

data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas would be helpful: Experience of Jira Version Control (GitHub) Experience with ABI tools (preferably Power ...

data warehousing principles Expertise in data and metadata management Thorough understanding of security standards and controls Experience working with cloud data warehouse technologies, ideally Amazon Redshift, Advanced SQL skills Experience in these areas would be helpful: Experience of Jira Version Control (GitHub) Experience with ABI tools (preferably Power ...

profiling, cleansing, and modelling. Experience building repeatable data pipelines in cloud/data warehouse platforms (e.g., Azure/Synapse/Fabric, Snowflake, BigQuery, Redshift). Proficient with data prep and QA automation; strong understanding of master/reference data practices. Knowledge of access controls, PII handling, retention, and audit ...

design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small ...

attribution, propensity modelling) is beneficial but not required Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift) is a big plus Comfortable using Git for versioning and collaboration Our Commitment to You: Competitive salary 25 days holiday, plus an additional ...

reliability, observability, and operational excellence Data & Analytics Awareness:Strong understanding of datamodellingconceptssuch ascanonicalmodelsand dimensional modelsExperience working alongside modern data platforms (e.g. Snowflake,BigQuery, Redshift)Ability to reason aboutData lineage and traceability,Reconciliationand variance analysis,Backfills and historical corrections Platform & Operations:Experience with CI/CD pipelines andInfrastructure asCode ...

reliability, observability, and operational excellence Data & Analytics Awareness:Strong understanding of datamodellingconceptssuch ascanonicalmodelsand dimensional modelsExperience working alongside modern data platforms (e.g. Snowflake,BigQuery, Redshift)Ability to reason aboutData lineage and traceability,Reconciliationand variance analysis,Backfills and historical corrections Platform & Operations:Experience with CI/CD pipelines andInfrastructure asCode ...

complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps ...

complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps ...

methodologies and tools for continuous integration and deployment (CI/CD). Must-have skills : Proficiency with Core AWS Tools (AWS Glue, Lambda, S3, Redshift) Programming Skills (Python) SQL and Data Storage Technologies: Some knowledge of Data Warehouse, Database technologies, and technologies (AWS Redshift, AWS RDS). … process both structured and unstructured data sets. Nice-to-have skills: Knowledge of Open Table Formats (Iceberg/Delta). AWS Tools: Experience with Amazon CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis. Data modelling Job scheduling/orchestration Data virtualisation tools (Denodo) ALM Tooling (Jira, Confluence) CI/CD toolsets ...

cloud-native environments and enjoy building scalable, data-driven applications. 🔧 What we’re looking for: • 5+ years working with AWS services including Aurora, Postgres, Redshift, S3, DynamoDB, CloudFront, SES, API Gateway, Step Functions, EventBridge, and SAM/CloudFormation • Strong SQL programming expertise • Experience with NestJS and modern front ...