1 to 25 of 49 Remote/Hybrid Amazon Redshift Jobs in England

that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ ...

Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong experience … Scala & Pyspark.* Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.* Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

business. This role is ideal for someone with strong AWS experience and a background working with modern data tooling including dbt, PySpark, Airflow, Redshift, Iceberg, OpenSearch, Knowledge Graphs, Python, and CircleCI . Key Responsibilities Design and develop scalable ETL/ELT data pipelines using Python and PySpark Build … maintain data transformation frameworks using dbt Develop and orchestrate workflows using Apache Airflow Deliver high-performance data warehouse solutions within Amazon Redshift Support the implementation and optimisation of Apache Iceberg lakehouse architectures Develop and enhance search capabilities using OpenSearch Work with Knowledge Graph technologies to improve data discovery ...

shape how critical financial information flows through the organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes … solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands-on experience with AWS data services Amazon Redshift or comparable cloud data-warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data-modelling and production pipeline knowledge The confidence ...

shape how critical financial information flows through the organisation. Responsibilities: Build scalable ETL and ELT pipelines within AWS Develop and optimise data models in Amazon Redshift Create and manage workflows using Apache Airflow Integrate NetSuite and other Finance data sources Establish trusted data-quality, monitoring and validation processes … solutions from initial requirements through to production Experience Required: Strong commercial Python and SQL experience Hands‐on experience with AWS data services Amazon Redshift or comparable cloud data‐warehouse experience Apache Airflow or similar orchestration experience Strong ETL/ELT, data‐modelling and production pipeline knowledge The confidence ...

controlled sharing of client data - is a benefit. An understanding of the gaming and sports betting industry is a strong advantage. Experience working with Amazon Redshift, Amazon Athena and/or Microsoft SQL Server is a benefit. OUR OFFER: A collaborative environment with colleagues from all over ...

PostgreSQL, MySQL) or NoSQL databases (e.g., MongoDB, Cassandra). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., S3, Redshift, BigQuery). Leadership and team management skills Experience with CI/CD best practices & IaC Experience with data modelling, data governance, data quality ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring ...

production data engineering Cloud experience across Azure, AWS and/or GCP Experience with modern data platforms/warehouses such as Snowflake, BigQuery or Redshift Experience integrating data platforms with Power BI Experience with orchestration such as Databricks Workflows or Airflow Highly Desirable Direct experience engineering data for Counterparty ...

about data behaviour over time and the downstream consequences of upstream design decisions. Modern Data Stack Experience with cloud data warehouses (e.g. BigQuery, Snowflake, Redshift, ADW), including performance, cost, and data layout considerations. Proficiency with data integration and orchestration tools (e.g. Fivetran, Airflow, managed ELT platforms), and an understanding ...

reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working in a cloud environment (AWS, GCP, or Azure), with exposure to services such as cloud storage and orchestration Demonstrable experience ...

experience following software engineering best practices like version control and continuous integration You have strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Redshift, Snowflake) and are comfortable with performance optimization, data partitioning, and window functions Experience with dbt for data transformation layer Experience with IaC tooling such ...

hands-on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling. Excellent problem-solving skills and the ability to work independently ...

Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS ...

strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability to articulate data strategy and complex technical solutions simply to both technical ...

write clean, efficient code across all three, and you understand how it performs at scale. Database management: Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB), with a solid grounding in database fundamentals — indexing, performance, design trade‐offs. Terraform: You have experience in managing infrastructure as code with ...

data engineering experience Hands-on expertise with DBT and PySpark Proven Python development skills Experience with Apache Airflow for orchestration Strong knowledge of Amazon Redshift Experience with Apache Iceberg and modern data lake architectures Familiarity with OpenSearch for search and analytics solutions Exposure to Knowledge Graph technologies ...

implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency in: DevOps practices CI/CD pipeline management Infrastructure as Code (IaC) Nice-to-Have Hands-on experience ...

designing end-to-end data systems. Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect ...

engineering standards and contribute to continuous improvement Support incident management and ongoing maintenance of BI solutions Skills & Experience Experience with AWS data services (e.g. Redshift, Athena, S3, Glue, Lambda) Strong SQL skills Exposure to SnapLogic or similar integration platforms Proficiency in Python (including PySpark) Familiarity with modern data tooling ...

Governance and Data Classification policies. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Python CI automation systems such as Jenkins A git‐based source control system such as BitBucket Data Warehouse ...

Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

scikit-learn, statsmodels). Comfortable building production-grade code, not just notebooks.* Hands-on experience with Snowflake (or a comparable cloud data warehouse — BigQuery, Redshift, Databricks).* Experience deploying models on AWS (SageMaker, Lambda, ECS, or similar).* Solid grounding in statistics, experimentation, and causal inference — you know when ...

without help. Grow our data ops capability: reliable, observable and well‐tested data pipelines across orchestration, transformation and the warehouse (e.g. Airflow, dbt, Redshift), with self‐service ways for engineers to publish and use data. Build data quality, lineage and monitoring into the pipelines rather than bolting them ...

prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation. Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation … complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control ...