26 to 50 of 77 Amazon Redshift Jobs in England

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 ...

will have 8+ years of Data Engineering experience within complex enterprise environments.* Strong experience with cloud data warehouse technologies, ideally BigQuery, although Snowflake and Redshift experience will also be considered.* Hands-on experience with GCP technologies including BigQuery, Dataflow, Composer, and Cloud Functions.* Strong Python development experience alongside modern ...

have 8+ years of Data Engineering experience within complex enterprise environments. * Strong experience with cloud-based data warehouse technologies, ideally BigQuery, although Snowflake and Redshift experience will also be considered. * Hands-on experience with GCP technologies including BigQuery, Dataflow, Composer, and Cloud Functions. * Strong Python development experience alongside modern ...

services ( AWS, Azure, GCP ) Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems ...

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 ...

What we're looking for 6+ years' experience in data architecture on complex, secure programmes Strong hands-on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonus Proven experience using Apache Flink for real-time, high-throughput data processing Experience leading, mentoring and developing technical teams ...

services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems ...

platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience ...

/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments ...

/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments ...

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 ...

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 ...

multiple projects simultaneously. Hands-on experience working with at least one OLAP-specific engine or analytical data warehouse technology (such as Apache Druid, ClickHouse, Amazon Redshift, Google BigQuery or Snowflake) to build scalable reporting solutions. Confidence can sometimes hold us back from applying for a job. ...

Clearance and Active NPPV3 to be considered for this role. Essential Skills Strong Terraform (IaC) experience Solid AWS knowledge (EC2, S3, Lambda, IAM, VPC, Redshift) Git/GitLab + CI/CD pipelines (GitLab CI) Experience with DevOps practices & automation Scripting: Python, Bash, Ansible Docker & Kubernetes (working knowledge) Strong ...

service analytics. Partner with FP&A, commercial finance, and analytics teams to align reporting. Tools & Technologies SQL (advanced) Cloud data platforms : Snowflake, BigQuery, or Redshift BI tools : Power BI (preferred), Tableau, or Looker ETL/ELT tooling and data modelling frameworks CRM data (e.g., Salesforce) Natural‐language analytics tools ...

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 ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

experience embedding data quality rules, profiling, scoring, and exception management into pipelines. Familiarity with modern cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery, Redshift, etc.). Ability to lead architectural thinking across multiple domains and manage stakeholder complexity. Ability to produce high-quality architectural artefacts: blueprints, models, solution designs ...

storage solutions Establishing architectural frameworks (e.g. data vault, dimensional modelling, medallion architecture) Leading the design of cloud data platforms (AWS) – including services like Redshift, S3, Glue, Athena Evaluating and introducing new technologies (e.g. Iceberg, Delta Lake, observability tools) Driving data governance, standards, and best practice Acting as a trusted ...

core engineering workstream Produce clear documentation and BAU handover Profile The Data Engineer will have strong cloud data warehouse experience (BigQuery preferred; Snowflake/Redshift also considered) Proven experience integrating: CRM platforms ERP systems Billing/BSS solutions Experience delivering cutover + hypercare phases (essential) Ability to operate ...

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 ...

abilities and the ability to translate complex data into actionable insights. Required Knowledge Python SQL Cloud Platforms (GCP, AWS, Azure) Data Warehouses (BigQuery, Snowflake, Redshift) LLMs/AI APIs Git/GitHub Nice to have Data Transformation (dbt) Semantic Layers (Cube, Looker, dbt Metrics) TypeScript Bayesian modeling experience, ideally ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge – Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development – Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...