1 to 25 of 84 Amazon Redshift Jobs in the UK

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 ...

Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions ...

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. ...

dashboard development. Power BI administration, including security, access management, gateways, and subscriptions. Advanced SQL development and optimisation. AWS services including Athena, S3, Lambda, Glue, Redshift, EC2, and RDS. PostgreSQL, Postgres RDS, MySQL, and AWS Athena. Data modelling and semantic layer design. DAX query language. Python for data processing ...

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 ...

Data Engineering, Business Intelligence or related roles Strong hands-on experience with: AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD) AI/ML Exposure ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

databases. Strong hands-on expertise with: AWS DMS (Database Migration Service). AWS SCT (Schema Conversion Tool). AWS Glue (ETL & data integration). Amazon Redshift (data warehousing). Other Qualifications (OQs): Exposure to real-time replication tools (e.g., GoldenGate or equivalent). Database Administration (DBA) expertise, including ...

such, I am keen to speak with candidates who have: Strong hands-on experience with AWS data engineering services such as Glue, S3, Lambda, Redshift or Athena. Advanced SQL skills for data modelling, transformation and analytics. Python experience for data processing and pipeline development. Background in data warehousing, analytics ...

cloud environment Proficiency in SQL and Python for data processing, transformation, and pipeline development Hands-on experience with AWS data services (e.g. Glue, S3, Redshift, Athena, Lambda) Solid understanding of data platform design, data warehousing, and analytics patterns Exposure to AI/ML concepts, tools, or workflows (e.g. cloud ...

Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks Strong understanding of data modeling principles across analytical and operational systems Experience with monitoring and data quality tooling Familiarity with CI/ ...

related initiatives and roadmap delivery * Apply best practices around data quality, governance and performance optimisation * AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) * SQL (advanced level) * Python (for data processing and pipeline development) * Infrastructure/tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) * Experience working ...

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 ...

optimization. What We Are Looking For Core Technical Stack: AWS Expertise: Strong hands-on experience with the AWS Data Engineering stack (Glue, S3, Lambda, Redshift, Athena). Languages: Advanced SQL and Python (specifically for data processing and pipeline development). Environment: 4-8+ years in Data Engineering/ ...

working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

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 ...

Experience Strong experience in a Data Engineering or similar role Expertise in distributed data architecture and orchestration Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

5+ years' experience within Data Engineering or related development roles * Strong SQL development and optimisation experience * Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL * Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles * Experience tuning and optimising complex queries and large ...

pipelines, including support for legacy DataStage decommissioning and modernisation. Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB). Build optimised, scalable data models. Apply performance tuning and optimisation across storage. Ensure secure handling of data including authentication ...

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 ...

improvement of data architecture and workflows Skills and Experience Experience in a Data Engineering or similar role Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

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 ...

platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with ...

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 ...

designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques and strong SQL skills Experience with cloud data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse ...