1 to 25 of 72 Amazon Redshift Jobs in England

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 ...

8+ years of experience in data engineering or data platform development within enterprise environments Strong expertise in AWS data services (such as S3, Glue, Redshift, EMR, Athena, Lambda or similar) Strong programming experience with Python and SQL Hands-on experience with Spark or distributed data processing frameworks Proven experience ...

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 ...

Core experience required: Strong Python development, particularly for data ingestion, crawling, parsing, and transformation. Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms. Experience building production data pipelines in AWS cloud environments. Familiarity with Docker containers and CI/ ...

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 ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

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 ...

Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor ...

systems to ensure scalable, reliable data workflows. You bring professional experience with the following tools: AWS data tooling such as S3/Glue/Redshift/SageMaker. Familiarity with containerization (e.g., Docker/ec2), Orchestration in enterprise environment (Airflow), Infrastructure automation (Terraform), and CI/CD platform (Github Actions ...

challenges 🛠 Technical Environment Core Expertise Advanced SQL & Python Deep DBT experience (modelling, testing, macros, documentation) Workflow orchestration (Dagster preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases API integrations and ingestion design patterns AI/ML Infrastructure Feature engineering architecture ML pipeline ...

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 ...

services ( AWS, Azure, GCP ) Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems ...

platforms and services ( AWS, Azure, GCP ) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Pragmatic approach to solving problems Nice to haves: Keen interest in modern AI/ML techniques Experience ...

Vending Machine® is driving the rapid growth of the subscriptions economy, powering choice and control for subscribers. The world’s largest content providers, including Amazon, Google and Microsoft trust Bango technology to reach subscribers everywhere. Bango, where people subscribe. Role At Bango, the Senior Software Engineer plays a critical ...

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 ...

using Python Write and optimise SQL queries Collaborate with stakeholders to deliver data-driven solutions Key Requirements Strong AWS experience (S3, Glue, Lambda, Athena, Redshift, DynamoDB) Python and SQL expertise Knowledge of ETL and data pipeline design Familiarity with GitLab and Infrastructure as Code (Terraform/CloudFormation) What ...

using Python Write and optimise SQL queries Collaborate with stakeholders to deliver data-driven solutions Key Requirements Strong AWS experience (S3, Glue, Lambda, Athena, Redshift, DynamoDB) Python and SQL expertise Knowledge of ETL and data pipeline design Familiarity with GitLab and Infrastructure as Code (Terraform/CloudFormation) What ...

experience designing and deploying production-grade pipelines (Python, Scala, Java, Spark, SQL). Strong experience working with AWS cloud data technologies (e.g., Glue, EMR, Redshift, Kinesis, Lambda, DynamoDB). Commercial experience ingesting, processing and curating structured and unstructured datasets. Experience with API ingestion, data modelling and optimisation for analytics. ...

Engineer, ideally with exposure to People Analytics or similar domains. Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS and talent systems ...

MLOps basics) Awareness of LLMs/Agentic AI architectures from a data platform perspective Experience with other platforms such as AWS, GCP, Snowflake, BigQuery, Redshift Familiarity with data governance or catalog tools (DataHub, Collibra, dbt, etc.) Experience working in CPG, Retail, Supply Chain, or similar domains If you like ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...

from multiple sources using APIs, scripting and cloud-native tooling Design and build robust AWS cloud data platforms using services such as EMR, Glue, Redshift, Kinesis, Lambda and DynamoDB Collaborate cross-functionally with product, design and engineering teams in agile delivery environments Participate in live whiteboarding sessions and technical ...