1 to 25 of 56 Permanent Amazon Redshift Jobs in the North of England

and Databricks , and you'll have the chance to drive impactful data initiatives from day one. Key Responsibilities: Build, maintain, and scale reliable data pipelines Work across AWS services (Redshift, Glue, Lambdas) and Databricks Design and evolve data models, data lakes, and warehouse solutions Apply CI/CD practices using GitHub and modern DevOps workflows Engage with cross-functional 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 ❯

Meshes and Data Warehouses. Experience of a wide range of data sources, SQL, NoSQL and Graph. A proven track record of infrastructure delivery on any data platform (Snowflake, Elastic, Redshift, Data Bricks, Splunk, etc). Strong and demonstrable experience writing regular expressions and/or JSON parsing, etc. Strong experience in log processing (Cribl, Splunk, Elastic, Apache NiFi etc. More ❯

thrives in greenfield project environments, and enjoys working both independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement ETL … to a collaborative, knowledge-sharing team culture. Required Qualifications & Skills Strong experience in ETL processes and cloud data warehouse patterns . Hands-on expertise with AWS services (S3, Glue, Redshift). Proficiency with Matillion for data transformation. Experience working with various relational databases . Familiarity with data visualization tools such as QuickSight, Tableau, Looker, or QlikSense . Ability to More ❯

databases. Experience across the data lifecycle. Knowledge of database backup, recovery, and archiving strategies. Proficient knowledge of linear algebra, statistics, and geometrical algorithms. Knowledge of data warehousing solutions like Amazon Redshift, Snowflake, or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. About Us J.P. Morgan is a global leader in financial services, providing More ❯

own personal and professional development Skills and Qualifications Required – skills, expertise and qualifications Essential – Minimum Requirements for the job role Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. The successful candidate will be from a SAAS background and this is essential for this position Commercial experience of software development within AWS (IaaS More ❯

functional teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. More ❯

functional teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. More ❯

functional teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. More ❯

functional teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. More ❯

AWS Data Engineer - Manchester - Hybrid We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform how they More ❯

AWS Data Engineer - Manchester - Hybrid We're working with a global insurance company that's redefining the industry through technology. As a key end user of AWS, they're leveraging cloud-native solutions and advanced analytics to transform how they More ❯

Nice to Haves": • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (e.g. AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (e.g. Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality More ❯

will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below and I will More ❯

detail. Desirable: Familiarity with AWS Lake Formation and real-time streaming tools (e.g., AWS Kinesis/Firehose). Experience within the transport, travel, or leisure industries. Knowledge of AWS Redshift and traditional data warehousing approaches. Why Join? This is a unique opportunity to join a forward-thinking organisation investing heavily in its data capability. Youll be part of a More ❯

own personal and professional development Skills and Qualifications Required - skills, expertise and qualifications Essential - Minimum Requirements for the job role Leveraging Open Source stacks, utilising Python and MySQL , DynamoDB ,Redshift at a senior engineering level. Commercial experience of software development within AWS (IaaS & PaaS) Experience of writing high performance enterprise scale applications Thorough experience of Object-Oriented concepts within More ❯

triage and prioritise platform capabilities to deliver business and customer outcomes. AWS Data Product Development: Lead the development of cloud-native data products using AWS services such as S3, Redshift, Glue, Lambda, and DynamoDB, aligning with business needs. Technical Leadership & Advisory: Act as a trusted AWS expert, advising clients on cloud migration, data strategy, and architecture modernization while working … technical expertise in AWS – Proven experience in designing and implementing cloud-based data architectures, ETL pipelines, and cloud-native applications, using services such as AWS EC2, S3, Lambda, Glue, Redshift, RDS, IAM, and KMS. Leadership & Stakeholder Management – Ability to engage with C-level executives (CDOs, CTOs, CIOs), lead cross-functional teams, and drive technical strategy in complex enterprise environments. More ❯

stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the performance, cost, and scalability of More ❯

stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize the performance, cost, and scalability of More ❯

broad range of problems using your technical skills Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Strong proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle Experience with big data … technologies such as Hadoop, Spark, or Hive Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow Proficiency in Python and at least one other programming language such as Java, or Scala Willingness to mentor more junior members of the team Strong analytical and problem-solving skills with the ability to work 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 ❯

cloud platforms (GCP, AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical concepts for business stakeholders Strategic thinking with More ❯

design decisions. A proven track record in delivering projects and advanced data validation experience is an advantage. Key Skills & Experience Proficiency in one or more database systems such as Amazon Aurora MySQL, Microsoft SQL Oracle, DynamoDB, etc. Expert level hands-on experience in designing, developing, and maintaining complex SQL queries, stored procedures to support various business applications. Perform advanced … scripts and automation tools to streamline data management tasks. Familiarity with version control systems for database schema changes (, Git). Knowledge of AWS DMS, Lambda, S3, Step Functions, CloudWatch, Redshift, Glue, Event Bridge. CI/CD – Pipeline setup and repository (Bitbucket) knowledge. Automated testing design and setup. Experience with large-scale data environments. Data Warehousing concepts, design and loading More ❯

to ingest and transform data from various sources Work with large datasets to ensure data integrity, quality, and availability across platforms Optimize and manage data workflows in AWS (S3, Redshift, Glue, Lambda, etc.) Write clean, efficient SQL for complex data transformations and analytics Develop and maintain Python scripts and tools for data processing and automation Collaborate with analysts, engineers … and stakeholders to understand data needs and deliver actionable insights What Their Looking For Strong experience with AWS cloud services related to data (e.g., S3, Glue, Redshift, Lambda) Proven expertise in ETL/ELT pipeline design and implementation Excellent proficiency in SQL – ability to write complex queries and optimize performance Solid programming skills in Python with experience in data More ❯

etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data pipelines and orchestration tools like Airflow Work closely with Data Engineers to ensure model-ready data and scalable pipelines. Nice to have Prior experience working More ❯