51 to 75 of 151 Amazon Redshift Jobs in the UK

what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were a More ❯

and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you feel when youre More ❯

infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks are More ❯

infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks are More ❯

infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks are More ❯

infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP •Development experience within secure or classified environments particularly where compliance or restricted networks are More ❯

backend technologies and building distributed services. Proficiency in one or more programming languages including Java, Python, Scala or Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices architecture, with More ❯

of delivering work to high standard with minimal guidance. Desirable Experience of ETL technologies AWS exposure (Athena, Glue, EMR, Step functions) Experience of relational database technologies (MS SQL Server, Redshift, Aurora) Experience with data solution BAU processes (ETL, table refresh, amongst others) We work with Textio to make our job design and hiring inclusive. Permanent More ❯

Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including, but not More ❯

Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including, but not More ❯

ll Bring Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure More ❯

ll Bring Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure More ❯

ll Bring Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure More ❯

ll Bring Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure More ❯

ll Bring Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure More ❯

configuration Our web products are developed using TypeScript and React We implement GraphQL and RESTful APIs using NodeJS and NestJS Our backend services are implemented in C# and Python Redshift, DynamoDB, Postgres, Elasticsearch, and S3 are our go to data stores Snowflake is a key component of our data platform Equal Opportunities We are an equal opportunities employer. This More ❯

analysis, transformation, migration, metadata, and master data management. Experienced delivering data analytics solutions and supporting AI initiatives. Hands on experience with cloud data platforms, ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, AzureFunctions). Familiarity with modern data lakehouse environments such as Databricks, Snowflake, or Microsoft Fabric (highly desirable). Experience with More ❯

the team, promoting best practices and knowledge sharing. What Experience is Required Proven experience as a Data Engineer , ideally 4+ years in a similar role. Strong proficiency with SQL , Amazon Redshift , and preferably MySQL and QuickSight . Experience with AWS Glue , Python scripting , and building ETL/ELT data processes. Salary & Benefits £85,000 per annum plus excellent More ❯

implementing Power BI architectures at enterprise scale. Strong expertise in data modelling , ETL , and enterprise data architecture . Hands-on experience with AWS data services (e.g. Glue, S3, Lambda, Redshift). Experience building reusable data ingestion and transformation pipelines. Knowledge of metadata management , data governance , and data lineage practices. Skilled at integrating or enhancing existing BI solutions. Excellent stakeholder More ❯

Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). More ❯

Strong stakeholder management and communication skills, with the ability to translate technical outputs into business-friendly insights. Experience with Snowflake (or alternative cloud data warehouses such as BigQuery or Redshift). More ❯

Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including, but not More ❯

Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including, but not More ❯

innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into More ❯

innovation. Architect and optimise ELT pipelines and workflows using dbt, Airflow, SQL, and Python. Oversee the design and evolution of large-scale analytics platforms and data warehouses (Snowflake, BigQuery, Redshift). Ensure best practices in governance, modelling, data quality, and scalable system design. Drive continuous improvement in orchestration, schema design, transformation, and automation processes. Translate complex technical insights into More ❯