16 of 16 Permanent Amazon Redshift Jobs in the North of England

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 ❯

see technical skills), delivering scalable, performant, reliable solutions. Strong data reliability/observability, data governance and information security credentials. What technical skills are required? ETL/ELT & Data Transformation: Amazon Redshift (query tuning, distribution/sort keys, workload management) Data modelling (normalisation, dimensional) dbt (modeling, testing, documentation, deployment) Building scalable ETL/ELT pipelines with Python Workflow Orchestration More ❯

with 2+ years in a technical leadership or management role Strong technical proficiency in data modelling, data warehousing, and distributed systems Hands-on experience with cloud data services (AWS Redshift, Glue, EMR or equivalent) Solid programming skills in Python and SQL Familiarity with DevOps practices (CI/CD, Infrastructure as Code - e.g., Terraform) Excellent communication skills with both technical More ❯

with 2+ years in a technical leadership or management role Strong technical proficiency in data modelling, data warehousing, and distributed systems Hands-on experience with cloud data services (AWS Redshift, Glue, EMR or equivalent) Solid programming skills in Python and SQL Familiarity with DevOps practices (CI/CD, Infrastructure as Code - e.g., Terraform) Excellent communication skills with both technical More ❯

tools and governance. Strong analytical mindset with a focus on business outcomes. Nice-to-Have Python or Airflow experience for automation. Knowledge of data warehouse best practices (Snowflake, BigQuery, Redshift). Experience with MS Business Central or similar ERP systems. eCommerce or omni-channel retail background. Exposure to machine learning and predictive analytics. This is a great opportunity to More ❯

experience in similar environments is essential. The Skill Requirements: We're looking for candidates with a blend of the following: Strong knowledge of AWS data services (Glue, S3, Lambda, Redshift, etc.) Solid understanding of ETL processes and data pipeline management Proficiency in Python and PySpark Experience working with SQL-based platforms Previous involvement in migrating on-premise solutions to More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative and pragmatic with great communication skills What More ❯

Version Control: Git WHAT YOU NEED Essential: 4+ years in Data/Analytics Engineering or BIStrong SQL skills (production-level)DBT experience (essential)Cloud data warehouse experience (BigQuery, Snowflake, Redshift)Data modeling expertiseUser acquisition or marketing analytics backgroundMobile app or gaming industry experience (highly preferred)Strong communication skillsSelf-starter who works autonomouslyDegree in Engineering, Computer Science, Maths, or related More ❯

Data Engineer in a cloud environment, with openness to various data platforms including AWS, Azure, and Google Cloud. Strong knowledge of data services across multiple platforms (e.g., AWS S3, Redshift, Glue, Azure Blob Storage, Google BigQuery). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Experience designing and implementing modern data architectures. Proficiency with integration/orchestration tools 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 ❯

SQL, Python, and data engineering best practices (testing, CI/CD) 🚀Hands-on experience building scalable data pipelines in a modern cloud environment (dbt, AWS Glue, Lake Formation, Spark, Redshift) 💡Firm understanding of data modelling, ELT design patterns, governance & security 📈Ability to thrive independently, taking ownership of complex, ambiguous problems 🗣️Excellent communication to build strong relationships and align stakeholders More ❯

SQL, Python, and data engineering best practices (testing, CI/CD) 🚀Hands-on experience building scalable data pipelines in a modern cloud environment (dbt, AWS Glue, Lake Formation, Spark, Redshift) 💡Firm understanding of data modelling, ELT design patterns, governance & security 📈Ability to thrive independently, taking ownership of complex, ambiguous problems 🗣️Excellent communication to build strong relationships and align stakeholders More ❯

professional growth and development 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 ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team More ❯

Job Title: Senior Analytics Engineer/Data Modeller Location: Hybrid - Leeds Salary: £70,000 - £90,000 (Dependant upon experience) + Benefits Why Apply? This permanent Senior Analytics Engineer/Data Modeller role offers the chance to make a significant impact More ❯