1 to 25 of 47 Remote/Hybrid Amazon Redshift Jobs in England

with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes * Containerize applications using Docker * Monitor model … CloudWatch * Automate data pipelines and feature workflows using Python & SQL * Ensure secure access and governance using AWS IAM and best practices Core AWS Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For Strong hands-on experience ...

with strong engineering fundamentals and a proactive, delivery-focused mindset. Core Skills & Experience Required: Strong hands-on experience with IBM DataStage Proven expertise with Amazon Redshift , Amazon S3 , and Amazon QuickSight Extensive experience in data migration and ETL processes (both batch and real-time) Data warehouse ...

following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile ...

engineering, performance, security and long-term maintainability. Key experience required: • Active SC Clearance • Deep expertise across AWS data services such as Glue, Lambda, S3, Redshift, EMR, Athena and Step Functions • Strong Python and SQL development capability • Proven experience designing and building ETL or ELT pipelines in cloud environments • Experience ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

engineering. Strong SQL skills and experience with data modelling for analytics. Hands-on experience with a modern cloud data warehouse (e.g., Snowflake, BigQuery, Redshift, or Azure Synapse). Experience with transformation tooling (e.g., dbt or equivalent) and orchestration (e.g., Airflow, Azure Data Factory, or similar). Proficiency with ...

experience designing and deploying production-grade pipelines (Python, Scala, Java, Spark, SQL). Strong experience working with AWS cloud data technologies (e.g., Glue, EMR, Redshift, Kinesis, Lambda, DynamoDB). Commercial experience ingesting, processing and curating structured and unstructured datasets. Experience with API ingestion, data modelling and optimisation for analytics. ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

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 ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

reporting. Knowledge of ETL tools or frameworks (SSIS, Azure Data Factory, Informatica, etc.). Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Amazon Redshift, SQL Server). Strong understanding of data transformation, aggregation, and performance tuning . Familiarity with DAX and Power Query in Power BI. Experience ...

skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

skills in Python and strong SQL capability. Exposure to orchestration tools such as Airflow or Dagster. Experience with modern data warehouses such as Snowflake, Redshift or BigQuery. Infrastructure-as-code experience, ideally Terraform or Pulumi. BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between ...

scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing ...

projects with varied tech stacks across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large ...

projects with varied tech stacks across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large ...

development (REST, SOAP) Informatica or Oracle Data Integrator SQL Server Integration Services (SSIS) Azure Data Factory or Azure Synapse Databricks or Apache Spark Amazon Redshift SQL Server or Oracle Database Oracle Integration Cloud or Business Objects Data Services Desirable Skills: Business intelligence tools such as Tableau, Power ...

following: - Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best ...

Senior Data Engineer Deep expertise in Kafka (MSK or Confluent) and real-time data architectures Strong AWS data platform experience (S3, Kinesis, Glue, Redshift, Lambda, ECS/EKS) Experience designing both real-time and batch systems at enterprise scale Excellent documentation and stakeholder communication skills Nice to Have Databricks ...

communications skills including stakeholder management Have experience in some of the following technologies: ETL toolset (Talend, Pentaho, SAS DI, Informatica etc) Database (Oracle, RDS, Redshift, MySQL, Hadoop, Postgres, etc) Job Scheduling toolset (Job Scheduler, TWS, etc) Programming and scripting languages (PL/SQL, SQL, Unix, Java, Python, Hive, HiveQL ...