1 to 25 of 61 Amazon Redshift Jobs in the UK

expertise: Microsoft Fabric Azure Databricks Azure Synapse Analytics Azure Data Factory Azure Data Lake Storage Power BI Microsoft Purview AWS Glue AWS Lake Formation Amazon Redshift Amazon Athena Amazon EMR Amazon S3 SQL, Python, and PySpark CI/CD pipelines and DevOps practices Infrastructure ...

Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client … Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data ...

Essential Experience Strong commercial experience designing and building modern data platforms within AWS environments. Excellent knowledge of core AWS technologies, including: AWS Glue Amazon S3 Amazon RDS Amazon Athena Amazon Redshift Strong understanding of data architecture, data modelling and schema management principles. Experience creating ...

Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience ...

Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience ...

/Studio, PowerDesigner, or similar. Experience with major database platforms, including SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse (SQL Data Warehouse), Snowflake, Redshift, and others. Strong experience with orchestration tools such as Azure Data Factory, HDInsight, Cloud Composer, Data Pipeline, or equivalent. Understanding of key data architecture ...

Apply best practices for data quality, governance, and performance optimisation Core Technical Skills Strong hands-on experience with: AWS data stack (Glue, S3, Lambda, Redshift, Athena) Advanced SQL Python for data processing and pipeline development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience ...

relevant: 5-6+ years in a senior data engineering, architecture, or platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

reviews and solution design. Requirements Proven experience as a Data Engineer in cloud-first environments. Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python ...

communities and quality forums. Requirements: Proven experience designing and delivering scalable cloud based data engineering solutions. Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

Kafka You have experience of Big Data Analytics platform integration with AWS You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC You have excellent communication skills ...

architecture within complex, secure environments Strong experience designing large-scale, cloud-based data platforms Deep expertise in AWS services, including EC2, S3, RDS, Lambda, Redshift Proven experience with Apache Flink and real-time streaming architectures Strong background in: Data modelling ETL/ELT processes Data warehousing and distributed systems ...

Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing ...