1 to 25 of 34 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 ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran 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 ❯

while fostering a positive and inclusive team culture What we’re looking for: Hands-on experience building and maintaining cloud-based data systems (e.g., Redshift, BigQuery, Snowflake) Strong coding skills in languages commonly used for data work (e.g., Python, Java, Scala) Deep understanding of ETL/ELT tools and 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 ❯

physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS 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 ❯

least 2 Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) and Big Data processing (e.g., Apache Spark, Beam). Proficiency in key technologies like BigQuery, Redshift, Synapse, Pub/Sub, Kinesis, Event Hubs, Kafka, Dataflow, Airflow, and ADF. Strong ETL and data modeling skills. Proven ability to design and implement 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 ❯

tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please 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 ❯

kits (APIs). Optimise performance, data storage and retrieval processes for efficiency and scalability. Ensure the data lake and Online Analytical Processing DB (OLAP - Redshift or similar) is able to handle large volumes and highly concurrent data acess. Ensure data quality, security, and compliance with industry standards. Requirements: Proven 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 ❯

Integration & Ingestion - Master - Data Manipulation and Processing - Skilled - GITHUB, Action, Azure DevOps - Skilled - Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skilled Optional skills: - Experience in project management, running a scrum team. - Experience working with BPC, Planning. - Exposure to working with external technical 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 ❯

with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic 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 ❯

Pub/Sub, DataFlow, Cloud Functions, Google BigQuery and Looker Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight and AWS SageMaker Build High performance scalable architecture presentations and generate SOW for customer Data Engineering and Analytics Projects Involve yourself in Pre More ❯

getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science 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 ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯