23 of 23 Remote/Hybrid Amazon Redshift Jobs in England

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT, Anthropic Claude, Amazon Bedrock ...

Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

engineering, and DevOps. You will be accountable for solution design, engineering standards, and delivery assurance across an AWS data platform using S3, Glue, and Redshift . Key Responsibilities Providing hands-on technical leadership and mentoring to a small delivery team Designing and delivering data ingestion, transformation, and storage patterns … using S3, AWS Glue, and Redshift Owning data architecture decisions, including data modelling, partitioning strategies, and performance optimisation Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability Building and optimising ELT/ETL pipelines using Glue (PySpark) , Lambda, Step Functions, and event-driven ...

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven ...

/Knowledge/Experience Advanced knowledge of data engineering principles, including data warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

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 ...

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 containerisation and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

implementing AWS-native ETL pipelines using S3, Glue, Athena, Step Functions. Building scalable, ACID-compliant datasets using Apache Iceberg. Running cost-efficiency initiatives across Redshift and broader AWS services. Consolidating fragmented environments into a secure, multi-tenant data platform. Implementing automated data quality and validation workflows. Establishing platform-wide ...

EBCDIC to UTF-8 and packed decimal conversions, with validation test suites. Utilize migration tooling for schema conversion and downstream analytics (Glue, Athena, Redshift), with infrastructure-as-code (Terraform) and CI/CD (GitLab). Plan and execute cutovers with dual-run validation, reconciliation, rollback strategies, and data governance ...

scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing ...

automation, CI/CD pipelines, IaC, monitoring systems to ensure scalable, reliable data workflows. AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology). Familiarity with Docker/ec2, Terraform and CI/CD platform (Github Actions & Admin). ...

Tableau Data Modelling including star schema 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/or Oracle ...

data infrastructure, ideally on AWS using IaC You have experience with Lakehouse and modern Data Warehouse patterns; AWS S3-based Lakehouse patterns, Athena/Redshift, Glue, EMR and related native services and Metabase for self-service analytics You have experience of designing and operating data ingestion pipelines at scale ...

solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune ...

designing and building data platforms and data architectures - Hands on experience with design and build of cloud data warehouses - Snowflake experience is desirable, though Redshift or Synapse are also suitable - Experience with data orchestration tools such as Airflow or Prefect - Strong coding ability in Python, Java, or Scala - Experience ...

across AWS, Azure, and GCP data services. Deep knowledge of data modelling (conceptual, logical, physical) and domain-driven design. Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse or similar platforms. Strong understanding of data governance, security, GDPR, and regulatory frameworks. Certifications – TOGAF/SAFe/Agile Why Join: Fully remote ...

data infrastructure, ideally on AWS using IaC You have experience with Lakehouse and modern Data Warehouse patterns; AWS S3-based Lakehouse patterns, Athena/Redshift, Glue, EMR and related native services and Metabase for self-service analytics You have experience of designing and operating data ingestion pipelines at scale ...

AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise … transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache ...

technical challenges You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Machine Learning Engineer (Python ...

ROLE: A remote working Analytics Engineer will need to: Design and build data models Support implementation and maintenance of ELT pipelines Ingest data into Redshift Utilise tools like Fivetran Transform data using DBT YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will have the following skills and experience: Ability ...

Job Title: Data Engineering Manager Job Type: Full Time, Permanent Location: London, Hybrid (3 days in the office a week) Role Purpose At Travelex we are developing modern data technology and data products. Data is ...