101 to 125 of 198 Amazon Redshift Jobs in the UK

data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including ...

data lakehouse architectures using Delta Lake, Apache Spark, or similar open‐source frameworks Familiarity with AWS‐native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance practices including cataloging, lineage tracking, and data access control at the platform layer AWS certification(s) in cloud ...

insights from well-designed data models. Who are we looking for? You have strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server. You have several years of strong experience with ETL/ELT processes and APIs with tools such ...

engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join AND Digital? We have three core values: wonder, share, and delight. These ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking, storage, security … performance. Bonus Skills Experience with other reporting/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java) for building data workflows and automation. Familiarity with ...

processes for ingesting, transforming and processing data from multiple sources Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data … complex enterprise environments Strong experience designing and delivering data solutions on AWS Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the right services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ ...

solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion Architecture principles. Build and maintain ETL/… integration environments. Key skills and experience Proven experience designing and delivering AWS-based data platforms. Strong hands-on experience with services such as S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Experience implementing Medallion Architecture, including Bronze, Silver and Gold data layers. Strong data engineering experience across batch ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). #J-18808-Ljbffr ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). #J-18808-Ljbffr ...

experience in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine ...

production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

retention, or customer journeys Exposure to experimentation, A/B testing, or product measurement Experience working within cloud data environments such as BigQuery, Snowflake, Redshift, Databricks, Azure, or similar Strong stakeholder management and communication skills A naturally curious and problem-solving mindset Experience with GA4, digital analytics platforms ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly ...

What we're looking for 6+ years' experience in data architecture on complex, secure programmes Strong hands-on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonus Proven experience using Apache Flink for real-time, high-throughput data processing Experience leading, mentoring and developing technical teams ...

Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry Strong problem‐solving skills ...

data architecture, including Data Lake (Iceberg, Hudi) and Serverless data concepts. Familiarity with mainstream global cloud products such as AWS EMR/Redshift, Google BigQuery, Snowflake, and Databricks., Ability to perform competitive analysis and develop differentiation strategies. Soft Skills: Excellent logical thinking, communication skills, and the ability to work ...

fast-paced, distributed environment with both technical and non-technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controls Experience ...

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 ...

management skills Excellent SQL ability Understanding of data warehousing and modelling (particularly with data marts) Desirable Background in financial services AWS experience (particularly with Redshift) Good Python skillsExperience with a form of version control Admiral: Where You Can We take pride in being a diverse and inclusive business. ...

years' experience within Data & Analytics, Data Engineering, or Enterprise Data Architecture. Strong experience designing enterprise-scale cloud data platforms using Microsoft Fabric, Databricks, Snowflake, Redshift, Informatica, and Spark-based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience ...

fast-paced, distributed environment with both technical and non-technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controls Experience ...

example, Python or Shell) to support data validation, automation, or analysis. Familiarity with database systems, including relational (Oracle, SQL Server, PostgreSQL, MySQL), columnar (Amazon Redshift, Snowflake), and/or NoSQL (MongoDB, Cassandra). Ample communication and collaboration skills, with the ability to work with product managers, engineering teams ...

resilient data solutions for clients in regulated environments. You’ll lead data ingestion, transformation and governance efforts, leveraging S3/Glue/Lambda/Redshift and related AWS services, while applying CI/CD and IaC practices to deployments. #J-18808-Ljbffr ...