13 of 13 Remote/Hybrid Amazon Redshift Jobs in the North of England

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

ROLE: A remote working Analytics Engineer will need to: Design and build data models Support implementation and maintenance of ELT pipelines Ingest data into Redshift Utilise tools like Fivetran Transform data using DBT YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will have the following skills and experience: Ability ...

cloud environment. • Proven capability with AWS, Python, SQL, and Airflow. • Hands‐on experience designing and maintaining data pipelines and data models. • Knowledge of Redshift or similar cloud data warehouse tools. • Experience with infrastructure‐as‐code tools such as Terraform. • Understanding of data governance, quality, and architectural best practices. • Comfortable … with 2–3 days per week in the office. • A collaborative culture and clear opportunities for technical growth. • Exposure to modern tooling including AWS, Redshift, Airflow, Terraform, and dbt. • The chance to shape a data platform and have meaningful influence on engineering standards. How to Apply ...

support ingestion, replication and platform data flows Define data storage strategy and manage data in AWS S3 Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure … data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with AWS Redshift Strong Python experience for production data pipelines Hands-on experience with dbt for modelling and transformations Familiarity with AWS services Comfortable partnering with Engineering and DevOps on data workflows ...

support ingestion, replication and platform data flows Define data storage strategy and manage data in AWS S3 Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure … data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with AWS Redshift Strong Python experience for production data pipelines Hands-on experience with dbt for modelling and transformations Familiarity with AWS services Comfortable partnering with Engineering and DevOps on data workflows ...