12 of 12 DemandTrendPermanent Amazon Redshift Jobs in the North of England

Java Experience in a Marketing technical stack and 3rd party tools Broad experience of working within AWS; including infrastructure (VPC, EC2, Security groups, S3 etc) to AWS data platforms (Redshift, RDS, Glue etc). Working Knowledge of infrastructure automation with Terraform. Working knowledge of test tools and frameworks such as Junit, Mockito, ScalaTest, pytest. Working knowledge of build tools More ❯

development projects, data modelling, and cloud data platform deployments. Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild More ❯

development projects, data modelling, and cloud data platform deployments. Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub, CodeBuild More ❯

engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse and More ❯

data ecosystem. Key Skills & Experience: Proven experience as a Senior/Lead Data Engineer in a large-scale environment. Strong expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of More ❯

re an experienced data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You'll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The More ❯

data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Bachelor's degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python (or another scripting More ❯

alongside the ability to upskill team members through peer review, training, and best practice development. Data Infrastructure: A solid understanding of cloud-based data warehousing (e.g., Azure, Fabric, Snowflake, Redshift, BigQuery) and ETL processes. Analytical Prowess: Exceptional analytical and problem-solving skills, with the ability to translate complex data into clear, actionable business insights. Demonstrated proficiency in Python/ More ❯

consultants. Knowledge and Skills: Knowledge • Broad data management technical knowledge so as to be able to work across full data cycle. • Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD • Coding experience in Apache Spark, Iceberg or Python (Pandas) • Experience in change and release management. • Experience in Database Warehouse … procedures. Technical Essentials: • Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: • Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB • Good experience with DBT, Apache Iceberg, Docker, Microsoft BI More ❯

data manipulation techniques. Excellent analytical, problem-solving, and critical thinking skills. Proven ability to communicate technical findings to non-technical stakeholders. Preferred: Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake). Familiarity with A/B testing, forecasting, and predictive modelling techniques. Experience in eCommerce as well as Finance and Healthcare industries. This fantastic new role More ❯

or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro with Manager (CV More ❯

or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro with Manager (CV More ❯