76 to 100 of 126 Permanent Amazon Redshift Jobs in the UK

scalable data platform and the software engineering design patterns to build it Experience with AWS as a cloud environment and associated tools (EKS, EMR, Redshift, Postgres) Experience, or interest in orchestration and processing methods of large workloads using distributed data systems such as Airflow, Spark, Hadoop, and Trino Experience more »

cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical more »

with suppliers like Snowflake, FiveTran, and dbt. Requirements: Proven experience leading and mentoring data engineering teams. Hands-on with cloud-based data warehousing (Snowflake, Redshift, or Databricks) and SQL. Extensive knowledge of data management and Data Ops (ingestion, pipelines, CI/CD). Strong project management skills in a more »

with suppliers like Snowflake, FiveTran, and dbt. Requirements: Proven experience leading and mentoring data engineering teams. Hands-on with cloud-based data warehousing (Snowflake, Redshift, or Databricks) and SQL. Extensive knowledge of data management and Data Ops (ingestion, pipelines, CI/CD). Strong project management skills in a more »

teams as well as maintaining a hands on involvement in day to day tasks Strong SQL & Python, Dbt Expertise in data warehouses such as Redshift, Snowflake, AWS If you are interested in this or other Analytics opportunities please contact Liam Wilson on liam.wilson@xcede.com or +44 more »

London office also available if you want to ever work sometimes in office. Day rate DOE Ideally you will have experience in the following Amazon Redshift S3,Lambda, Python Not essential but useful to know they are importing CRD files - Full documentation provided by team They are looking … to import 15 files per quarter/each file 5m rows into Redshift One month rolling contract, depending on how much work is to be done, they may ask for your help on an ongoing basis for specific requirements and help with this data once they utilise your expertise more »

increasingly complex world of interconnected platforms, the Data Manager will ensure that the data stack - built around the Segment customer data platform and our Amazon Redshift data warehouse - is delivering for our analysts, marketers, product specialists and leadership team. This will involve optimisation and governance on how new … product owner for data privacy and data engineering projects, driving the data roadmap including initiatives around tracking, privacy, CRM, and BI. Responsibilities: Manage the Redshift data warehouse, ensuring all analytics use-cases are catered for Developing and maintaining a robust tracking plan Configuring new integrations and optimising existing integrations more »

Engineer will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/life balance. Joining more »

Requirements Demonstrable experience as a software or data engineer, demonstrating a good understanding of data architecture and engineering principles. Proficiency with Kafka, AWS, and Redshift Strong coding skills with either Python or SQL, showcasing the ability to manipulate and analyse data. Proven expertise in implementing testing strategies to ensure more »

our community safe and our business efficient. We run a modern containerised stack in AWS using a mixture of database technologies (MySQL, DynamoDB, Redis, Redshift, Elasticsearch) to serve different workloads. Our architecture is event-driven and we're bringing increasingly more machine learning into the hotpath. Our platform ingests more »

join their Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage more »

scalable business. Requirements To qualify for this Analytics Engineer role, you will require: Experience building data models in a modern cloud environment (BigQuery, Snowflake, Redshift) Expert SQL skills Experience with dbt is ideal Stakeholder management skills Salary A successful candidate will receive: A Salary of up to more »

lakes using AWS and Azure cloud technologies. Utilize AWS and Azure data and analytics services (or their open-source equivalents) such as EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Design and deploy production data pipelines using languages like Java, Python, Scala, Spark, and SQL. Integrate data engineering … A minimum of 2 years’ experience with AWS and Azure cloud technologies. Proficiency in AWS and Azure data and analytics services, including EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. A solid foundation in data engineering, data science, and product development, with experience in both stream and batch more »

within the music industry. Requirements To qualify for this role, you will require: · Strong experience with SQL and Tableau · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £52,000 · Excellent progression opportunities Process- two interview stages 1st Stage more »

forward. THE ROLE Work closely with the product team, and influence the product roadmap through insight recommendations Querying datasets from BigQuery and/or Redshift to understand how users are interacting with products Day-to-day product analytics, measurement, and reporting Setting up and running A/B tests more »

approach to retail and commitment to providing exceptional customer experiences. Role Overview: The Data Visualisation & Automation Analyst will be pivotal in migrating data from Redshift to Azure. Working with Databricks and Power BI is essential. The Analyst will create efficient data pipelines and generate insightful reports to understand base more »

week/month onsite in London. Skills Required: Essential experience in SQL, Python, Visual Studio Code, ML Model Development. Utilise AWS services such as Redshift and Athena Ideal experience would be analysis of large volumes of customer Data from various industry sources. Ability to design and create compelling Data more »

be used across Live Support systems wherever required: Technologies Role is Grafana Dashboard focused. Denodo/Talend/PDI/Git/MySQL/Redshift/Grafana Dashboard creation/consolidation Gathering requirements, understanding the service and delivery alerts to suit Skills must have: FTE ideally should have experience more »

Marketing Signal Processing Search Embedded Reliability Research Testing Mathematics Physics Statistics Quantitative Navigation NLP RAG Hosting Tools, Libraries and Frameworks Jupyter Notebook MySQL PostGres RedShift AWS Tensorflow Scikit-learn NoteBooks NumPy Description Trainline uses AI to enhance sustainable travel choices by integrating advanced machine learning models into their platform more »

be used across Live Support systems wherever required: Technologies – Role is Grafana Dashboard focused. Denodo/Talend/PDI/Git/MySQL/Redshift/Grafana Dashboard creation/consolidation Gathering requirements, understanding the service and delivery alerts to suit Skills must have: FTE ideally should have experience more »

do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python … Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of more »

do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python … Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of more »

documented and assured through defined architecture governance processes Knowledge in database technologies adopted by Genomics England including AWS native services, AWS Aurora, Neptune, OpenSearch, Redshift, Dynamo, Document DB, MongoDb, Hbase/Solar Experience of architecting, building, and delivering modern data platforms Familiar with TOGAF and other enterprise architecture frameworks more »

and translate them into recommendations for marketing use Got to have hands-on SQL skills and have experience of working with Cloud warehouses like Redshift Confident presentation skills Natural curiosity around the mechanics behind the why in data findings and analytics outputs Comfortable in pacey environments like youd expect more »

in designing and managing large-scale, distributed data platforms, particularly using data lakes or similar technologies. Expertise in developing cloud data architectures, particularly with Amazon Web Services (AWS) as a must-have, and preferably with Google Cloud Platform (GCP) and Microsoft Azure. Hands-on programming experience building and managing … data pipelines and supporting systems, primarily using Python, AWS Services like Redshift, Lambda, Athena, EMR, SQS, Data pipelines, Glue etc., Shell scripting, SQL, and NoSQL. Experience in utilizing both open source and proprietary cloud data tools like Airflow, Glue, AWS Data Pipelines, MuleSoft, Redshift, BigQuery, and data visualization more »