17 of 17 Amazon Redshift Jobs in the North of England

environment, contributing to technical discussions and problem-solving initiatives. Lead Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

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 ...

/Knowledge/Experience Advanced knowledge of data engineering principles, including data warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen ...

skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending ...

skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive the following benefits: Salary between £100,000 - £120,000 - depending ...

strong delivery focus) in data or platform teams Strong hands-on understanding of AWS services, particularly those used in data platforms (e.g. S3, Glue, Redshift, Lambda, IAM) Solid experience with Databricks, including data engineering and analytics use cases Familiarity with modern data architectures (lakehouse, data lakes, streaming, batch processing ...

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 ...

experience working directly with large datasets. Understanding of data warehousing concepts and analytics engineering principles. Desirable Experience working with AWS-based data platforms (e.g. Redshift, S3, Glue). Exposure to analytics engineering tools or concepts (e.g. dbt, staging layers, semantic models). Experience working in data-driven commercial environments. ...

someone with: Strong data ingestion experience Strong data modelling experience e.g. dbt Ideally AWS/GCP background Data warehousing experience - e.g. Snowflake, BigQuery, Redshift IAC e.g. Terraform Orchestration experience e.g. dagster, airflow THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

plus. Hands-on experience with Windows Server, Linux (RHEL) , and virtualisation tools (VMware, Citrix). Desirable: Exposure to data warehousing solutions (Snowflake, Redshift, BigQuery). Experience operating in hybrid cloud/on-prem environments. Knowledge of data modelling, replication, and query optimisation techniques. Please note that you will have ...

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 ...

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 ...

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 ...

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 ...