51 to 75 of 105 Amazon Redshift Jobs in the UK

communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation tools (we use Preset.io/Apache Superset). Exposure to More ❯

Skillset Delivery experience Building solutions in snowflake implementing data warehousing solutions using Snowflake and AWS Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data pipelines … strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable components and APIs … preferred for data processing, automation, and pipeline development AWS or Snowflake certifications are a plus Hands-on experience with AWS services such as Glue (Spark), Lambda, Step Functions, ECS, Redshift, and SageMaker. Enthusiasm for cross-functional work and adaptability beyond traditional data engineering. Examples like building APIs, integrating with microservices, or contributing to backend systems - not just data pipelines More ❯

experience a plus). Skills & Experience: Strong SQL expertise and hands-on experience with DBT. Familiarity with Kimball dimensional modelling concepts. Experience working with cloud data warehouses such as Redshift or Snowflake. Knowledge of Airflow for workflow management. Comfortable in AWS environments and data orchestration. Bonus: Python programming skills and familiarity with dashboarding tools. Contract Details: Duration: 3 months More ❯

re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience More ❯

or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic understanding of experimentation platforms and uplift modelling. Interview Process 1st Stage: Intro with Manager (CV More ❯

PHP, NodeJS, Python or Java Experience with infrastructure running 100% in AWS Experience with service-oriented architecture deployed on ECS Fargate & Lambda Database exposure to: MySQL, Postgres, MongoDB, DynamoDB, Redshift Familiar with infrastructure automation with Terraform Familiar with observability & monitoring using: Honeycomb, NewRelic, CloudWatch, Grafana Exposure to CI/CD pipelines with GitHub, CircleCI and Jenkins Willing to be More ❯

Snr Data Engineer - Global Accounts, Professional Services, AWSI-SDT-APJ-Japan Job ID: Amazon Web Services Japan GK AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet … first organization. Key job responsibilities Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), S3, AWS Glue, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. Solutions - Deliver on-site technical engagements with partners … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

reports, processes and standards. Skills & Competencies • Excellent communication skills. • Excellent data modelling skills. Knowledge & Qualifications • Experience with the Phoebus loan servicing platform - desirable • Extensive experience SQL, ideally MySQL, with RedShift being a plus. • Good knowledge of SAP Business Objects (Data Services and Information Design Tool). • 3+ years of experience as a Reporting Developer or on a similar role. More ❯

reports, processes and standards. Skills & Competencies • Excellent communication skills.• Excellent data modelling skills. Knowledge & Qualifications • Experience with the Phoebus loan servicing platform - desirable• Extensive experience SQL, ideally MySQL, with RedShift being a plus.• Good knowledge of SAP Business Objects (Data Services and Information Design Tool).• 3+ years of experience as a Reporting Developer or on a similar role. More ❯

GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner, etc.). Exposure to CI/CD pipelines (e.g., CircleCI). What's on offer: The chance to shape the future of 3D AI technology . A collaborative More ❯

Azure SQL Tableau/Power 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 open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is also More ❯

Azure SQL Tableau/Power 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 open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is also More ❯

Jenkins, SonarQube Terraform for infrastructure management Grafana, Elasticsearch, Kibana & New Relic for metrics, logs and monitoring In the company we also use: VueJS, MySQL, Spring Boot, Apache Camel, AWS Redshift, AWS SageMaker, Pentaho, Balena, Serverless functions Winnow has adopted a hybrid working model where employees come to the office two days a week and can choose to work from More ❯

scalable data pipelines and platforms that power analytics, automation, and decision-making across Finance and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM, along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and … modeling, data warehousing, and building ETL pipelines Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field Extensive experience working with AWS with a strong understanding of Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Lambda, S3, EC2, etc. Experience with coding languages like Python/Java/Scala Experience in maintaining data warehouse systems and working on large … support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯

to reduce time-to-production for experiments and prototypes. Design and optimize data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control … background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration, CI/CD, and deployment automation. Deep understanding of ML Ops More ❯

Sr. Delivery Consultant - Data Analytics, Professional Services Job ID: Amazon Web Services Colombia S.A.S. - E40 The Professional Services (ProServe) team is seeking a skilled Sr. Delivery Consultant - Data Analytics to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their … reuse. - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional services when needed, up to … candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most More ❯

an experienced Data Engineer with expertise in AWS cloud technologies to design and build ETL pipelines , data warehouses , and data lakes . Key Skills: AWS services like EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB (or equivalent open-source tools). Note: We require candidates who are eligible for SC Clearance or possess a higher level of clearance. More ❯

an experienced Data Engineer with expertise in AWS cloud technologies to design and build ETL pipelines , data warehouses , and data lakes . Key Skills: AWS services like EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB (or equivalent open-source tools). Note: We require candidates who are eligible for SC Clearance or possess a higher level of clearance. More ❯

greatly enhance the capabilities of emergency services, allowing them to share vital data and information quickly and securely, improving response times and overall public safety. Required Skills Data Stage, RedShift, QuickSight, S3 data migration/ETL both batch and real time data warehouse development DevSecOps Java SQL relational databases GitHub/lab experience Nice to have: Data quality xml More ❯

with a focus on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills What's in it for you More ❯

or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with More ❯