1 to 25 of 38 Amazon Redshift Jobs in Central London

advanced analytics, AI/ML, and BI capabilities across the enterprise. 2. Cloud Data Enablement Architect and implement cloud-native data solutions using AWS (Redshift, Glue, S3, Athena), Azure (Synapse, Data Factory, Databricks), or GCP (BigQuery, Dataflow, Pub/Sub). Guide the migration of on-premise data assets ...

What we’re looking for • Solid grounding in Python for data engineering and automation • Strong SQL and experience with modern cloud warehouses (Snowflake, BigQuery, Redshift, Azure Synapse etc.) • Hands-on experience with workflow orchestration tools • Comfortable working with dbt or similar transformation frameworks • Experience in Azure is preferred ...

experience with dbt or similar transformation frameworks Proficiency in Python for data manipulation and pipeline support Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar) Solid understanding of data warehousing concepts and modern ELT workflows Comfortable owning production data and supporting it end to end Strong communication ...

skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation, and DevOps practices in data workflows. Stakeholder management Career & Development Opportunities Structured career progression ...

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 ...

reconciliation checks Strong error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval accuracy ...

term reliability What they are looking for: • Strong experience in data engineering and cloud based data platforms • Experience with AWS services such as S3, Redshift and Lambda is ideal, but open to cloud agnostic and Azure backgrounds with lakehouse expertise • Hands on experience with Airflow, dbt and Kafka • Strong ...

approach to data delivery. Skills & Experience Needed Strong background in data engineering, especially within AWS environments. Hands-on experience with services such as S3, Redshift , and other AWS data ecosystem tools. Familiarity with modern data stack tools: Airflow, dbt, Airbyte (or similar). Proficient in building automated pipelines ...

e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable ...

contributing to internal projects. Expect live whiteboarding sessions, asynchronous collaboration, and diverse tech stacks across multiple sectors. Tech stack highlights: AWS services: EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB Languages: Java, Python, Scala, Spark, SQL Big data architecture and ETL pipelines What we’re looking for: Strong problem-solving ...

similar data orchestration frameworks Strong understanding of RESTful APIs as well as experience working with both synchronous and asynchronous endpoints Experience with Snowflake or Redshift with a strong understanding of SQL. Proficient in Python and Pandas Experience working with JSON and XML Strong understanding of cloud computing concepts ...

optimized for performance, reliability, and maintainability. 🌳 AWS Expertise: Utilize AWS services for data storage, processing, and analytics. Leverage AWS technologies such as S3, Glue, Redshift, and others to build and maintain data solutions. Implement best practices for security and compliance in an AWS environment. 🌳 Python Programming: Demonstrate proficiency ...

multiple technology. Experience with one of the ETL Technologies Informatica, Talend or Azure Data Factory; streaming (Kafka). Experience across warehousing platforms (Teradata, Snowflake, Redshift, BigQuery, Synapse). Proven work with data catalog, lineage, DQ (Collibra/Purview; Great Expectations/dbt tests). Desirable skills: BFSI domain exposure ...

clarify requirements and translate them into model updates Skills & Experience You should have: Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power ...

fostering collaboration, accountability, and agile delivery in every sprint. 🧠 What You Bring Expertise in AWS : Hands-on experience with Python, Glue, S3, Airflow, DBT, Redshift, and RDS. Proven success in end-to-end data engineering — from ingestion to insight. Strong leadership and communication skills, with a collaborative, solution-driven ...

error handling and retry logic. Develop incremental data processing patterns for large-scale datasets. Work with AWS services including Glue, Step Functions, S3, DynamoDB, Redshift, Lambda, and EventBridge. Build and optimise vector database solutions and embedding generation pipelines for semantic search. Implement document processing workflows (PDF parsing, OCR, metadata ...

Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 4 years+ experience as a Data Engineer solving complex and scaled ...

/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 6 years+ experience as a Data Engineer solving complex and scaled data ...

Essential Advanced SQL skills with strong data modelling expertise (facts, dimensions, semantic layers). Experience working with modern cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). Hands-on experience with analytics engineering tools (e.g. dbt). Strong understanding of ELT pipelines and data transformation best practices. Ability to operate ...

Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, DynamoDB) Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt) Understanding of information security best practices Strong verbal and written communication in English and local language Ability to lead ...

hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc. Extensive Python API design experience, preferably Fast API Strong SQL knowledge Nice to have skills Pyspark Databricks ETL design ...

skills in data modelling and will bring a good knowledge of general IT architecture and systems integration. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful, and you will be open-minded to learning new skills. Experience in Oracle OBIEE and/ ...

/AWS SQL Tableau/Power BI A general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful, and you will be open-minded to learning new skills. Experience in Oracle OBIEE and/ ...

principles and best practices. Excellent communication and interpersonal skills Preferred Skills: Experience in Database technologies - MS SQL Server, DB2 , Oracle, Postgres, AWS RDS/Redshift Experience in Data Integration - Messaging (IBM MQ) , AWS DMS, Kafka Experience in Data Visualisation - MicroStrategy, Microsoft Power BI Knowledge of authentication methodologies like OAUTH ...

Strong understanding of Abstract Data Types (ADTs) AWS & Cloud Technologies Extensive experience with AWS DMS and AWS SCT Strong working knowledge of AWS RDS, Redshift, and Glue Experience designing data solutions in AWS-native environments Databases Relational: MySQL, PostgreSQL, Oracle NoSQL: DynamoDB, MongoDB NewSQL: CockroachDB, Google Spanner (or similar ...