1 to 25 of 46 Amazon Redshift Jobs in the UK excluding London

enterprise reporting. Lead the BI roadmap: consolidation, migration, and modernization (e.g., SSRS/Excel to Power BI; on-prem to AWS Glue + Amazon Athena + Amazon Redshift + Amazon QuickSight). Design and optimize complex data models using Tabular Editor and DAX Studio. • Manage ...

environment, contributing to technical discussions and problem-solving initiatives. Senior 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. ...

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data ...

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 ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We INNOVATE with AI-driven data solutions – You will ...

experience: Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

experience: Strong Python and SQL skills AWS or GCP (NOT Azure) Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform BENEFITS The successful Senior Data Engineer will receive the following benefits: Salary between £80,000 - £100,000 - depending on experience ...

within banking or financial services (essential) Strong SQL and Python (or equivalent) development skills Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery) Cloud experience (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline design Experience supporting regulatory or risk-related data workflows ...

MedTech, or related sectors preferred) Strong SQL and Python (or similar programming languages) Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, BigQuery, Redshift) Experience working with cloud technologies (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline development Experience handling sensitive or regulated data ...

with version control (Git) and collaborative development practices NICE TO HAVE Experience integrating BI tools with Blue Yonder data Exposure to cloud data warehouses (Redshift, Snowflake, BigQuery) Experience with ETL/ELT tools Power BI Service administration and workspace management Exposure to CI/CD for BI or data ...

communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...

managing datawere unlocking whats next. This role isnt just about stability; its about possibility. Key responsibilities Responsible for efficiently and securely ingesting data into Amazon Redshift, ensuring the data is correctly formatted, transformed, and loaded into the data warehouse. This includes developing and maintaining data pipelines … processes to facilitate the timely and accurate transfer of data into Redshift. Create, design, and develop data models and views in AWS Redshift that can be analysed effectively in Redshift and Power BI. Set up, configure, administer, and troubleshoot in AWS Redshift. Conduct UAT of new data pipelines ...

implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality ...

data engineering, analytics, or a similar role Working knowledge of SQL and data modelling principles Experience with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift) Dashboarding experience using tools such as Power BI, Tableau, or Looker Strong analytical thinking and problem-solving skills Comfortable working with non-technical stakeholders Highly ...

dimensional modelling preferred) Experience working in a SaaS or product-led environment Desirable Skills Exposure to cloud data platforms such as Snowflake, BigQuery or Redshift Experience working in a modern data stack environment (Fivetran, Airflow, etc.) Python experience for data manipulation or automation Strong stakeholder management and communication skills ...

hands-on experience in Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience with workflow orchestration tools such as Airflow or similar Ability to design ...

Strong foundations in mathematics and analytical reasoning Strong hands-on experience with, programming & Analytics: Python, SQL, Scikit-learn, TensorFlow Data & Cloud: AWS (Athena, S3, Redshift), data warehousing, ETL pipelines Visualisation & Tools: Jupyter, Visual Studio Code, Microsoft Excel, dashboards and reporting solutions Development Environments: Linux/Ubuntu, Git/Bitbucket ...

data consistency verification, and rollback strategies Cross-platform optimisation: Knowledge of leveraging PostgreSQL features to improve performance during migration scenarios Proficiency in data warehousing (Redshift, BigQuery) Strong communication and collaboration skills, with the ability to work effectively in a team environment. Proficiency in oral and written English You might ...

architecture Requirements Minimum 1 year of hands-on experience with Python At least 1 year of experience working with AWS (e.g. S3, Lambda, Redshift, or similar services) Strong understanding of data engineering principles and data modelling Experience with SQL and relational databases Ability to work both independently ...

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 ...

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 ...

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 ...

Data Factory), plus experience implementing CI/CD for data; knowledge of Informatica tools is beneficial. Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake, along with strong SQL capability and working knowledge of Python/PySpark. Ability to synthesise complex business and technical ...

following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify ...

following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify ...