20 of 20 Remote Amazon Redshift Jobs in Slough

maintain robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.) Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data quality, governance, and compliance with financial More ❯

throughput, scalable, resilient and secure data pipelines. • Experience with the following AWS technologies : Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kenesis Firehose. • Expert knowledge of SQL . • Hands on experience with Kafka. • Hands on experience with Terraform. • Hands on experience of Python with More ❯

key data platform initiatives in alignment with business priorities.//Strong stakeholder engagement experience.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud.//Proficient programming skills in Python./ More ❯

Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

scalable, secure, and resilient data pipelines Own projects end-to-end — from design to production Work with modern AWS tools (Glue, Lambda, Athena, S3, Redshift, etc.) Contribute to platform strategy and mentor teammates Collaborate across engineering, product, architecture, and security What you bring: Proven experience building high-throughput data More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What More ❯

recommendations to both technical and non-technical audiences. ● Experience in SQL and hands-on experience with data warehouses/lakes/lakehouses (Snowflake, Databricks, Redshift, etc.). Experience with dbt is a plus. ● High proficiency in data modelling, either through university projects or your first role, you are familiar More ❯

ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯

building large-scale data pipelines and infrastructure. Proficient in: Data modelling techniques AWS managed services, SQL & NoSQL databases Modern cloud data warehouses (e.g. Snowflake, Redshift, Trino) Infrastructure as Code (AWS CDK or equivalent) Strong commitment to clean code, quality, testing, and operational excellence. Comfortable working in agile teams and More ❯

assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free More ❯

BI A knowledge of data modelling and of 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 tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

promoting a culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture … design a consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

passion for cloud-native solutions. What You'll Be Doing: Leading the design and delivery of end-to-end AWS-based data solutions (S3, Redshift, Glue, Lambda, Step Functions, Matillion, DynamoDB, etc.). Acting as a senior technical SME in RFI and RFP response activity for complex data-led … and contributing to reusable assets and accelerators. What We're Looking For: Extensive hands-on AWS data engineering expertise including experience with S3, Glue, Redshift, Lambda, and Matillion. Demonstrated leadership within a consultancy or delivery-focused organisation at SM/Manager level or above. Proven track record of leading More ❯

Understanding of IAM policies and statements. Experience of writing and using terraform or AWS CDK at scale. Postgres SQL, Oracle MySQL/Aurora RDS, Redshift and other database/NoSQL Tech. Good knowledge of Redshift and AWS Services. Working experience in data vault model. Scripting skills e.g., Python More ❯

frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs … cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales More ❯

a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable More ❯